WEBVTT b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/63-0 00:00:13.553 --> 00:00:16.843 Please, it's my pleasure to introduce Rashid Shams as the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/63-1 00:00:16.843 --> 00:00:19.623 Earthquake Science Center seminar speaker today. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/87-0 00:00:19.883 --> 00:00:24.817 Rashid is a PhD student in the USC Department of Civil b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/87-1 00:00:24.817 --> 00:00:29.303 Engineering, working with Professor Hueneke. Umm. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/130-0 00:00:29.663 --> 00:00:33.384 Before USC, before you started at USC here in the master b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/130-1 00:00:33.384 --> 00:00:36.517 Masters of Technology in earthquake science and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/130-2 00:00:36.517 --> 00:00:40.304 engineering from IIT Dombak and he also has a Bachelor of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/130-3 00:00:40.304 --> 00:00:42.393 Technology in Civil Engineering. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/156-0 00:00:43.323 --> 00:00:48.019 I've been working with Rashid and uh Buca for the past couple b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/156-1 00:00:48.019 --> 00:00:51.503 of years on a USGS funded project related to. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/172-0 00:00:53.213 --> 00:00:56.727 Developing new predictive parameters for site response and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/172-1 00:00:56.727 --> 00:00:58.753 base and response in Los Angeles. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/213-0 00:01:00.503 --> 00:01:05.044 And I was so impressed by the work that rashi's been doing in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/213-1 00:01:05.044 --> 00:01:09.584 his only his first two years as PhD, that I thought ESC would b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/213-2 00:01:09.584 --> 00:01:13.173 also be interested to hear what he's been up to. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/222-0 00:01:14.293 --> 00:01:15.903 And with that, I'll pass it over to him. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/225-0 00:01:17.723 --> 00:01:18.173 Yes. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/228-0 00:01:18.343 --> 00:01:19.173 Hi everyone. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/242-0 00:01:19.233 --> 00:01:19.553 You. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/257-0 00:01:19.423 --> 00:01:22.242 Thank you for the introduction, Doctor Parker, and I'm very I'm b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/257-1 00:01:22.242 --> 00:01:24.576 very thankful for the opportunity to present at this b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/257-2 00:01:24.576 --> 00:01:24.973 platform. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/263-0 00:01:26.283 --> 00:01:27.883 So I am Rashid Shams. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/281-0 00:01:27.973 --> 00:01:30.796 Uh, I'm a PhD student at Civil Environmental Engineering b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/281-1 00:01:30.796 --> 00:01:33.223 Department at University of Southern California. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/310-0 00:01:33.293 --> 00:01:39.053 I work with Doctor Buchanan and we get a search group and today b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/310-1 00:01:39.053 --> 00:01:41.483 I will be presenting uh uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/360-0 00:01:41.493 --> 00:01:44.631 My talk, titled geometric parametrization of Basins for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/360-1 00:01:44.631 --> 00:01:47.825 Cyrus Sponse analysis and modeling, where I will discuss b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/360-2 00:01:47.825 --> 00:01:51.355 different geometric parameters that we explored and identified b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/360-3 00:01:51.355 --> 00:01:54.717 to understand and look into uh based inside relative inside b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/360-4 00:01:54.717 --> 00:01:56.903 related effects in sedimentary basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/390-0 00:01:57.503 --> 00:02:00.321 I wanted to acknowledge my collaborators, my advisor, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/390-1 00:02:00.321 --> 00:02:03.348 Professor Nuke and Doctor Parker for all the help and the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/390-2 00:02:03.348 --> 00:02:05.383 insights while carrying out this work. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/394-0 00:02:06.393 --> 00:02:07.313 So I'll just start. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/412-0 00:02:12.313 --> 00:02:15.650 So the outline of the presentation, this presentation b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/412-1 00:02:15.650 --> 00:02:17.443 will be in three major parts. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/429-0 00:02:17.553 --> 00:02:20.530 In the first part, I will discuss the introduction and the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/429-1 00:02:20.530 --> 00:02:21.943 motivation behind this work. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-0 00:02:22.033 --> 00:02:25.560 The data set that we use in the side response in Los Angeles and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-1 00:02:25.560 --> 00:02:29.088 the VS 30, the second part will discuss the geometric parameters b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-2 00:02:29.088 --> 00:02:32.181 that we looked at and explored for Los Angeles basin and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-3 00:02:32.181 --> 00:02:35.492 different symmetry basins and so Cal, which will be detailed b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-4 00:02:35.492 --> 00:02:37.663 about the description of the parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/506-0 00:02:37.673 --> 00:02:40.264 Our intuition behind the parameters they use and how did b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/506-1 00:02:40.264 --> 00:02:41.583 we estimate those parameters? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/551-0 00:02:42.663 --> 00:02:45.863 The third part will go over the model development that we did b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/551-1 00:02:45.863 --> 00:02:48.753 based on those geometric parameters and the performance b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/551-2 00:02:48.753 --> 00:02:51.746 of the developed model in comparison to the ground motion b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/551-3 00:02:51.746 --> 00:02:54.688 models and ending with key takeaways and future scope of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/551-4 00:02:54.688 --> 00:02:55.153 the work. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-0 00:02:56.623 --> 00:03:00.453 So moving on, so we know the current ground motion model that b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-1 00:03:00.453 --> 00:03:04.036 we have, they capture site related effects in a form of a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-2 00:03:04.036 --> 00:03:07.989 site component or some kind of site component which is based on b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-3 00:03:07.989 --> 00:03:11.696 majorly 1 dimensional site parameters such as VS 30 or base b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-4 00:03:11.696 --> 00:03:14.723 in depth such as 0.5 or 0.5, ISO surface depths. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/668-0 00:03:15.273 --> 00:03:18.382 So this approach captures most of the site related features and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/668-1 00:03:18.382 --> 00:03:20.909 average size effects, essentially based on sediment b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/668-2 00:03:20.909 --> 00:03:23.581 deposit, but it is limited in capturing data and multi b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/668-3 00:03:23.581 --> 00:03:26.593 dimensional 2 dimensional and three dimensional side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/717-0 00:03:27.643 --> 00:03:31.413 So our major aim or overarching aim of this work was to export b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/717-1 00:03:31.413 --> 00:03:34.585 geometric parameters which can complement or work in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/717-2 00:03:34.585 --> 00:03:38.295 conjunction with one decided parameters such as VS theory and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/717-3 00:03:38.295 --> 00:03:39.193 base in depths. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/752-0 00:03:39.723 --> 00:03:42.912 And we worked on this exporting these parameters, incorporating b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/752-1 00:03:42.912 --> 00:03:45.802 the geometric parameters and models in commotion model to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/752-2 00:03:45.802 --> 00:03:48.593 finally reduce variability and site to site dispersion. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/766-0 00:03:49.103 --> 00:03:52.273 So we carried out this work in three major steps. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/794-0 00:03:52.683 --> 00:03:56.053 So first step was studying the basin and defining basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/794-1 00:03:56.053 --> 00:03:59.364 sedimentary basin shape and outline and boundary using b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/794-2 00:03:59.364 --> 00:04:02.193 geological cross sections and basement depths. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/800-0 00:04:03.973 --> 00:04:05.613 Second step involved. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-0 00:04:06.413 --> 00:04:10.330 Uh, deriving base in geometric parameters, exploring different b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-1 00:04:10.330 --> 00:04:13.874 parameters that could work as a predictive parameter for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-2 00:04:13.874 --> 00:04:17.480 understanding based effects or capturing unaccounted side b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-3 00:04:17.480 --> 00:04:21.459 effects and commotion models we usually we mostly used basement b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-4 00:04:21.459 --> 00:04:25.190 depths and geomorphological features for deriving different b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-5 00:04:25.190 --> 00:04:29.107 geometric parameters, and the third is the final step involves b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/880-6 00:04:29.107 --> 00:04:32.713 evaluation of some selected suit of geometric parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/906-0 00:04:32.823 --> 00:04:35.644 Incorporation of those parameters in models, model b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/906-1 00:04:35.644 --> 00:04:39.073 development and evaluation of the performance of the model in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/906-2 00:04:39.073 --> 00:04:41.783 comparison to the original ground motion models. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/942-0 00:04:44.273 --> 00:04:47.847 So moving on with the data set that we use, our data set mostly b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/942-1 00:04:47.847 --> 00:04:51.253 comprise of NGS two, so Cal data and the rich cast sequence. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-0 00:04:52.083 --> 00:04:56.145 The top plot shows the recordings with magnitude and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-1 00:04:56.145 --> 00:05:01.126 distance bonjour distance, where the red clear triangles are the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-2 00:05:01.126 --> 00:05:05.724 Socal data that we mostly use and the bottom plot shows the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-3 00:05:05.724 --> 00:05:10.705 number of recordings with period and where the black dashed line b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-4 00:05:10.705 --> 00:05:15.533 is the NCVS 2 data from 2014 and where the blue dashed line is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-5 00:05:15.533 --> 00:05:20.208 the NJS 2 Socal data set so we can see the Njus 2 Socal data b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1041-6 00:05:20.208 --> 00:05:24.883 set forms a large chunk of the total NJBS 2 global data set. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1075-0 00:05:25.553 --> 00:05:28.881 We use several filters to filter out the data, so we use only b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1075-1 00:05:28.881 --> 00:05:32.370 events of magnitude greater than four magnitude distance cutoff, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1075-2 00:05:32.370 --> 00:05:35.483 and we only consider sites with minimum three recordings. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1105-0 00:05:35.953 --> 00:05:41.350 So finally we had close to 10,000 recordings in Socal with b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1105-1 00:05:41.350 --> 00:05:45.833 931 sites in Socal and 182 sites in Los Angeles. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1127-0 00:05:45.993 --> 00:05:49.848 Listen, so this was the data set that we used for the analysis b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1127-1 00:05:49.848 --> 00:05:52.113 and looking at different parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1158-0 00:05:53.073 --> 00:05:58.045 So this map shows our major study region, which is Socal, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1158-1 00:05:58.045 --> 00:06:03.103 where the red colored polygons are major SoCal sedimentary b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1158-2 00:06:03.103 --> 00:06:03.703 basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1169-0 00:06:03.713 --> 00:06:05.583 We can see loss analysis basin in the center. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1195-0 00:06:05.593 --> 00:06:08.820 We have so Hangable Basin, San Fernando Basin, close to Los b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1195-1 00:06:08.820 --> 00:06:11.724 Angeles Basin and all the different color markers are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1195-2 00:06:11.724 --> 00:06:13.123 different site categories. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1221-0 00:06:13.293 --> 00:06:16.812 So the red color markers are basins which are basin sites or b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1221-1 00:06:16.812 --> 00:06:19.523 the sites which are within sedimentary basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1238-0 00:06:19.813 --> 00:06:22.869 Then we have basinet sites which are on the edge of sedimentary b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1238-1 00:06:22.869 --> 00:06:23.203 basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1280-0 00:06:23.653 --> 00:06:27.042 The inverted yellow markers are valley size, which are smaller b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1280-1 00:06:27.042 --> 00:06:30.270 ways since valleys and then we have non basin sites such as b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1280-2 00:06:30.270 --> 00:06:33.229 Mountain Hills which are represented by uh white color b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1280-3 00:06:33.229 --> 00:06:34.843 triangle with purple boundary. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1303-0 00:06:35.313 --> 00:06:38.967 So we have different side categories now zooming on to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1303-1 00:06:38.967 --> 00:06:40.163 loss and is basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1321-0 00:06:40.733 --> 00:06:44.822 This map shows loss Alice Basin boundary defined by NUETRAL b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1321-1 00:06:44.822 --> 00:06:45.163 2022. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1341-0 00:06:45.413 --> 00:06:48.842 The Black Line is the boundary where is bounded by Hollywood b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1341-1 00:06:48.842 --> 00:06:50.753 Falls and Santa Monica Mountains. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1361-0 00:06:50.933 --> 00:06:55.233 We have Palos Verdes the best, SO and all the markers are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1361-1 00:06:55.233 --> 00:06:58.643 colored by number of recordings in the basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1391-0 00:06:58.693 --> 00:07:02.148 I'm only showing side stations with more than three records to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1391-1 00:07:02.148 --> 00:07:05.493 we can see we have a bunch of stations with a good number of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1391-2 00:07:05.493 --> 00:07:07.083 records in Los Angeles basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1422-0 00:07:09.963 --> 00:07:13.382 Moving on to ground motion analysis, before jumping on to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1422-1 00:07:13.382 --> 00:07:17.272 geometric parameters and looking at the parameters and how did we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1422-2 00:07:17.272 --> 00:07:20.043 evaluate the performance of the parameter, we. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1425-0 00:07:20.983 --> 00:07:21.473 Uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1445-0 00:07:22.043 --> 00:07:26.075 Work through and carry out residue analysis based on the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1445-1 00:07:26.075 --> 00:07:26.783 and JBS 2. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1498-0 00:07:26.793 --> 00:07:30.462 So-called data set that I discussed previously, so we used b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1498-1 00:07:30.462 --> 00:07:34.192 a bullet all 2014 ground motion model complemented with the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1498-2 00:07:34.192 --> 00:07:37.923 Socal Basin model, the Socal Basin model is conditioned and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1498-3 00:07:37.923 --> 00:07:41.592 function of V study based in depth and the location of the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1498-4 00:07:41.592 --> 00:07:41.903 site. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1543-0 00:07:41.913 --> 00:07:45.539 So if the site is inside of base in outside the basin for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1543-1 00:07:45.539 --> 00:07:49.416 different social basins based on this ground motion model, we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1543-2 00:07:49.416 --> 00:07:53.230 compute a total residuals, which is a difference between the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1543-3 00:07:53.230 --> 00:07:54.543 observation and data. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1584-0 00:07:55.233 --> 00:07:58.786 The model estimate we partition the total residuals into event b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1584-1 00:07:58.786 --> 00:08:01.832 residuals and within event residuals where we further b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1584-2 00:08:01.832 --> 00:08:05.498 partition within event residuals into site residuals represented b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1584-3 00:08:05.498 --> 00:08:07.303 by Aris and remaining residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1603-0 00:08:08.213 --> 00:08:11.772 So This site is duals, are what we are majorly concerned about b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1603-1 00:08:11.772 --> 00:08:12.563 in this study. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1653-0 00:08:12.613 --> 00:08:15.343 So the site has majorly represents unaccounted side b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1653-1 00:08:15.343 --> 00:08:18.127 effects, but by the ground motion model, so we'll be b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1653-2 00:08:18.127 --> 00:08:21.592 further looking at site as duals in Los Angeles Basin and so Cal, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1653-3 00:08:21.592 --> 00:08:24.113 when we look at different geometric parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1693-0 00:08:28.623 --> 00:08:33.583 So looking at site response and site results in Los Angeles b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1693-1 00:08:33.583 --> 00:08:38.709 Basin and VS 30 so this figure shows site as duals in lost in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1693-2 00:08:38.709 --> 00:08:40.693 Socal and Lawsons Basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1723-0 00:08:40.703 --> 00:08:45.833 So we I have site residuals areas on Y axis and VS 30 on X b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1723-1 00:08:45.833 --> 00:08:49.833 axis for different period ranges all the way. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1761-0 00:08:49.843 --> 00:08:52.766 Markers are Socal sites stations, and the blue b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1761-1 00:08:52.766 --> 00:08:56.808 highlighted markers are for loss and it's based on where the bin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1761-2 00:08:56.808 --> 00:09:00.353 means are for Los Angeles for red and so Cal for yellow. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1785-0 00:09:00.703 --> 00:09:03.913 So by looking at these site, results are computed after b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1785-1 00:09:03.913 --> 00:09:06.263 incorporating the basin model for Socal. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1795-0 00:09:06.353 --> 00:09:07.963 So we can still look at that. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1814-0 00:09:07.973 --> 00:09:10.887 There are some strains, some trends inside residuals at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1814-1 00:09:10.887 --> 00:09:13.593 longer periods, and there is a considerable spread. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1840-0 00:09:14.653 --> 00:09:17.723 So even though we study is doing a good job, it's capturing b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1840-1 00:09:17.723 --> 00:09:20.537 average side effects and subsurface rated side effects b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1840-2 00:09:20.537 --> 00:09:21.663 and basically effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1873-0 00:09:21.953 --> 00:09:24.407 But there is still some unaccounted side effects related b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1873-1 00:09:24.407 --> 00:09:27.248 to two dimensional 3 dimensional features and phenomena happening b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1873-2 00:09:27.248 --> 00:09:29.874 beneath the site which still needs to be captured and looked b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1873-3 00:09:29.874 --> 00:09:30.003 at. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1921-0 00:09:30.053 --> 00:09:33.426 So if we zoom in and look only for so only at Los Angeles b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1921-1 00:09:33.426 --> 00:09:36.798 Basin, this figure shows size only lossless basin and the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1921-2 00:09:36.798 --> 00:09:40.287 yellow color markers are bin means we again looking at site b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1921-3 00:09:40.287 --> 00:09:41.683 test duals with V study. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1953-0 00:09:41.833 --> 00:09:44.613 So we can see as we move to longer periods, there is a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1953-1 00:09:44.613 --> 00:09:47.545 positive trend at higher VS 30 values and there is a some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/1953-2 00:09:47.545 --> 00:09:48.303 spread as well. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-0 00:09:49.333 --> 00:09:52.239 So to summarize that, even though the story is going a good b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-1 00:09:52.239 --> 00:09:55.241 job in capturing basin effects and side effects, but there is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-2 00:09:55.241 --> 00:09:58.244 still some bias there is related to two dimensional and three b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-3 00:09:58.244 --> 00:10:01.004 dimensional side effects not being captured by these one b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-4 00:10:01.004 --> 00:10:03.765 dimensional side parameters which motivates us to export b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-5 00:10:03.765 --> 00:10:06.332 some further additional parameters which leads us to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2021-6 00:10:06.332 --> 00:10:07.833 exploring geometric parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2069-0 00:10:09.783 --> 00:10:12.822 So before moving on to looking at geometric parameters, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2069-1 00:10:12.822 --> 00:10:16.078 understanding and defining geometric parameters involves we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2069-2 00:10:16.078 --> 00:10:19.062 have to define some kind of boundary for the basis and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2069-3 00:10:19.062 --> 00:10:21.993 basement constraints which forms an integral part of. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2092-0 00:10:22.043 --> 00:10:25.577 When we look at basins and we'll use this basement constraints b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2092-1 00:10:25.577 --> 00:10:28.943 and basement depths in defining these geometric parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2115-0 00:10:30.473 --> 00:10:33.914 So we start with looking at crystalline basement basement b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2115-1 00:10:33.914 --> 00:10:36.643 basement which we adopted from CMH community. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2122-0 00:10:36.653 --> 00:10:38.643 Will upstream model show at all 2015? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2134-0 00:10:38.993 --> 00:10:42.443 So the map here shows specially variation of C image. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2153-0 00:10:42.453 --> 00:10:48.265 The red color boundaries for Los Angeles based in and we can see b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2153-1 00:10:48.265 --> 00:10:50.143 the uh, the basement. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2187-0 00:10:50.513 --> 00:10:53.680 The Christian basement gets deeper as we move towards the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2187-1 00:10:53.680 --> 00:10:57.065 center of the basin and gets shallower as we move towards the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2187-2 00:10:57.065 --> 00:10:58.103 edge of the basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2219-0 00:10:58.673 --> 00:11:02.315 And this Christian basement is actually the depth of the basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2219-1 00:11:02.315 --> 00:11:05.206 where transitioning from sedimentary rocks to the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2219-2 00:11:05.206 --> 00:11:07.923 crystalline uh Christine rocks and hard rocks. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2221-0 00:11:08.733 --> 00:11:09.353 So this. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2253-0 00:11:11.353 --> 00:11:15.385 This motivates us to look into a sedimentary basement depth which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2253-1 00:11:15.385 --> 00:11:18.623 will be more of an actual base basement for a basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2265-0 00:11:18.633 --> 00:11:22.351 Will will transition from hard or stiff soil to sedimentary b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2265-1 00:11:22.351 --> 00:11:22.723 rocks. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2292-0 00:11:23.093 --> 00:11:26.294 So for this we look at different cross sections Geological cross b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2292-1 00:11:26.294 --> 00:11:27.723 section cross and this basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2314-0 00:11:27.813 --> 00:11:31.979 We looked at multiple cross sections and I'll be showing two b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2314-1 00:11:31.979 --> 00:11:35.803 major cross sections highlighted in red in this figure. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2355-0 00:11:36.473 --> 00:11:39.264 So the first possession that we'll look at is B that is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2355-1 00:11:39.264 --> 00:11:42.305 transacting across starting from Palace, today's transacting b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2355-2 00:11:42.305 --> 00:11:45.495 across the central part of the basin and moving towards the San b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2355-3 00:11:45.495 --> 00:11:46.193 Gabriel Basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2386-0 00:11:48.563 --> 00:11:53.415 So this figure on the top shows Geological Cross section and the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2386-1 00:11:53.415 --> 00:11:57.894 figure on the bottom uh shows the velocity profile from CMD b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2386-2 00:11:57.894 --> 00:12:00.283 match up to 15 kilometers depth. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2423-0 00:12:02.223 --> 00:12:06.059 And we can see that the Trop geologic official shows the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2423-1 00:12:06.059 --> 00:12:10.232 bottom part shows the transition from MU scene and older mule b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2423-2 00:12:10.232 --> 00:12:14.203 scene to basement complex and the bottom velocity profile. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2446-0 00:12:14.213 --> 00:12:17.296 The black solid black line is the ZCB, which is the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2446-1 00:12:17.296 --> 00:12:20.973 crystalline basement that we looked at in the previous slide. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2481-0 00:12:22.003 --> 00:12:26.866 So this alliance with the museen and above musine and medium and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2481-1 00:12:26.866 --> 00:12:31.505 older music boundary transition from the centimeter rocks and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2481-2 00:12:31.505 --> 00:12:34.723 rocks through the piston basement complex. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2542-0 00:12:36.893 --> 00:12:41.230 And in the gospel defining a sedimentary basement, we look at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2542-1 00:12:41.230 --> 00:12:45.498 a lower piercing and transition from lower to upper Miocene, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2542-2 00:12:45.498 --> 00:12:49.836 which is more of a transition from stiffer soils to more of a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2542-3 00:12:49.836 --> 00:12:53.894 sedimentary rocks instead of a crystalline basement which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2542-4 00:12:53.894 --> 00:12:55.153 corresponds to uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2545-0 00:12:55.493 --> 00:12:55.923 When when? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2564-0 00:12:55.933 --> 00:13:00.743 5 to 2.5 kilometer per second somewhere in this velocity cross b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2564-1 00:13:00.743 --> 00:13:02.423 section above the ZCB. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2582-0 00:13:02.873 --> 00:13:07.904 When we look at the second velocity cross second Geological b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2582-1 00:13:07.904 --> 00:13:10.923 Cross section which is E dash here. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2607-0 00:13:10.973 --> 00:13:15.046 So we'll be looking at ABC and D parts of this cross section, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2607-1 00:13:15.046 --> 00:13:19.120 which again transects across the basin and starts from Palace b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2607-2 00:13:19.120 --> 00:13:19.843 Verdes, so. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2642-0 00:13:21.903 --> 00:13:25.129 This is the cross section, so the top plot again shows the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2642-1 00:13:25.129 --> 00:13:28.464 Geological Cross section and bottom plot is for the velocity b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2642-2 00:13:28.464 --> 00:13:30.323 profile up to 15 kilometer depth. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2656-0 00:13:31.933 --> 00:13:34.867 Where again, the solid black line is for ZCB crystal basement b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2656-1 00:13:34.867 --> 00:13:35.293 boundary. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2692-0 00:13:37.123 --> 00:13:40.757 So in this cross section we can see that there is a transition b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2692-1 00:13:40.757 --> 00:13:44.161 from Fernando formation or Repetto to reformation which is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2692-2 00:13:44.161 --> 00:13:46.353 from Pliocene epoch to Miocene epoch. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2726-0 00:13:48.133 --> 00:13:51.679 So this transition is the transition that we're looking b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2726-1 00:13:51.679 --> 00:13:55.733 for for establishing the crystal sedimentary basement boundary, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2726-2 00:13:55.733 --> 00:13:59.343 which again aligns with 1.5 to 2.5 kilometer per second. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2764-0 00:13:59.353 --> 00:14:02.563 So we conclude on looking at 1.5 kilometer per second and 2.3 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2764-1 00:14:02.563 --> 00:14:05.618 kilometers per second 1.5 kilometer per second has already b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2764-2 00:14:05.618 --> 00:14:07.223 been used in one motion models. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2781-0 00:14:07.233 --> 00:14:10.925 As I surface depth and we look at 2.3 kilometer per second as b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2781-1 00:14:10.925 --> 00:14:11.223 well. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2799-0 00:14:11.653 --> 00:14:15.528 So moving on, we look at the depth to Kristen to the basement b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2799-1 00:14:15.528 --> 00:14:16.403 for the basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2841-0 00:14:16.413 --> 00:14:20.274 So and the plot on the right plot on the left shows Kristen b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2841-1 00:14:20.274 --> 00:14:23.685 basement depth with site residuals on Y axis and ZCB b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2841-2 00:14:23.685 --> 00:14:25.873 Christian basement dev on X axis. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2899-0 00:14:26.853 --> 00:14:30.891 Stop markers are for social sites and they are colored by b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2899-1 00:14:30.891 --> 00:14:34.929 different site categories such as Basin, Mountain, Hills, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2899-2 00:14:34.929 --> 00:14:39.385 Valley and basin edges, and the plot on the right is again site b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2899-3 00:14:39.385 --> 00:14:43.075 as duals in Socal plotted with GCB, 2.3 which is the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2899-4 00:14:43.075 --> 00:14:45.233 sedimentary basement depth ZSB. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2914-0 00:14:45.763 --> 00:14:48.879 So we again look at different point markers colored by b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2914-1 00:14:48.879 --> 00:14:50.353 different site categories. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2929-0 00:14:50.363 --> 00:14:55.643 So in general, we don't see a specific trend or significant b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2929-1 00:14:55.643 --> 00:14:56.083 bias. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2970-0 00:14:57.413 --> 00:15:01.069 We suggest that uh, these basement depths, although are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2970-1 00:15:01.069 --> 00:15:04.920 important for helping us in estimating different geometric b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2970-2 00:15:04.920 --> 00:15:08.381 parameters, but they don't themselves don't have any b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/2970-3 00:15:08.381 --> 00:15:12.363 relative power in capturing any additional side effects. Uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3014-0 00:15:14.173 --> 00:15:16.732 So as we don't observe any significant bias and trends b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3014-1 00:15:16.732 --> 00:15:19.477 inside as well with these basement depths, which indicates b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3014-2 00:15:19.477 --> 00:15:22.082 that only isosurface depths are not enough to capture 2 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3014-3 00:15:22.082 --> 00:15:23.943 dimensional 3 dimensional side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3043-0 00:15:23.953 --> 00:15:27.915 Because so this motivates us again to look at some other b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3043-1 00:15:27.915 --> 00:15:32.155 geometric parameters, although we'll be using these basement b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3043-2 00:15:32.155 --> 00:15:33.823 depths and the boundary. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3066-0 00:15:33.873 --> 00:15:37.981 Uh basin constraints that we looked at in, in computing those b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3066-1 00:15:37.981 --> 00:15:40.433 dramatic parameters that we look at. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3122-0 00:15:41.263 --> 00:15:44.855 So this brings us to the second part of the presentation, which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3122-1 00:15:44.855 --> 00:15:48.167 involves discussing different geometric parameters that we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3122-2 00:15:48.167 --> 00:15:51.254 looked at and how did we assess the performance of the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3122-3 00:15:51.254 --> 00:15:54.229 parameters against the site, test duals in capturing b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3122-4 00:15:54.229 --> 00:15:57.316 unaccounted side effects and basin related effects for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3122-5 00:15:57.316 --> 00:15:58.383 sedimentary basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3143-0 00:16:00.223 --> 00:16:03.670 So the first parameter that we looked at is standard deviation b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3143-1 00:16:03.670 --> 00:16:04.053 of ZCB. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3166-0 00:16:04.063 --> 00:16:07.769 So ZCB again is the crystalline basement depth that we looked at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3166-1 00:16:07.769 --> 00:16:09.993 in the first part of the presentation. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3193-0 00:16:10.483 --> 00:16:14.098 The standard deviation we calculate stand deviation using b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3193-1 00:16:14.098 --> 00:16:17.526 ZCB and the map here shows especially variation of the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3193-2 00:16:17.526 --> 00:16:19.833 standard deviation of TCP parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3226-0 00:16:20.023 --> 00:16:24.376 So this parameter is calculated using a circular window or 2425 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3226-1 00:16:24.376 --> 00:16:28.525 hundred meters radius and we take the stand deviation of all b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3226-2 00:16:28.525 --> 00:16:29.273 the points. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3243-0 00:16:29.363 --> 00:16:30.933 All the grid points inside the roster. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3315-0 00:16:30.943 --> 00:16:34.305 We used 200 meter spacing grid points and we take the stand b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3315-1 00:16:34.305 --> 00:16:37.668 deviation of all those points at the center of the circular b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3315-2 00:16:37.668 --> 00:16:41.367 window and we move this circular window to all the grid points in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3315-3 00:16:41.367 --> 00:16:44.561 the raster which are against base at 200 meters and this b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3315-4 00:16:44.561 --> 00:16:47.812 helps us to get the stand deviation of ZCB values at each b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3315-5 00:16:47.812 --> 00:16:49.213 grid point in the roster. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3327-0 00:16:49.823 --> 00:16:53.082 This standard deviation is like a geological proxy for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3327-1 00:16:53.082 --> 00:16:54.563 subsurface heterogeneity. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3363-0 00:16:54.573 --> 00:16:58.086 Add pistol basement depth because if you if we observe b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3363-1 00:16:58.086 --> 00:17:01.854 this raster we can see the high standard deviation phrases b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3363-2 00:17:01.854 --> 00:17:05.367 correspond to faults and geological discontinuities at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3363-3 00:17:05.367 --> 00:17:07.283 the basement subsurface level. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3414-0 00:17:07.793 --> 00:17:10.763 So this also helps us to understand the shape of the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3414-1 00:17:10.763 --> 00:17:14.125 basin and basin boundary in particular such As for loss and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3414-2 00:17:14.125 --> 00:17:17.376 the basin, which is a fault bounded basin, we can see the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3414-3 00:17:17.376 --> 00:17:20.570 high standard division traces corresponding to the Santa b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3414-4 00:17:20.570 --> 00:17:22.083 Monica and Hollywood Fault. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3439-0 00:17:23.013 --> 00:17:26.841 We also have a highest and division traces for the ELISION b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3439-1 00:17:26.841 --> 00:17:30.474 park and point to his fault and Newport Inglewood fault b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3439-2 00:17:30.474 --> 00:17:31.253 transacting. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3448-0 00:17:31.913 --> 00:17:34.113 Uh, across the center of the basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3468-0 00:17:34.563 --> 00:17:37.439 So this helps us to get an idea of the shape of the basins and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3468-1 00:17:37.439 --> 00:17:38.443 surface heterogeneity. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3489-0 00:17:40.333 --> 00:17:43.743 And we use focal statistics tools and RJ is to come. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3535-0 00:17:43.873 --> 00:17:48.219 You compute this parameter so to look at this parameter which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3535-1 00:17:48.219 --> 00:17:52.776 site as well we again plot site as duals in Los Angeles basin on b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3535-2 00:17:52.776 --> 00:17:57.263 Y axis with the parameter that is 10 division of GCB on X axis. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3568-0 00:17:57.533 --> 00:18:01.292 Yellow color markers have been means so all these points are in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3568-1 00:18:01.292 --> 00:18:04.875 Los Angeles Basin and we can see there is some spread inside b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3568-2 00:18:04.875 --> 00:18:05.463 residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3591-0 00:18:05.713 --> 00:18:09.186 But as you move from shorter periods to longer periods, we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3591-1 00:18:09.186 --> 00:18:12.483 can see there is a there is a trend, uh positive trend. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3594-0 00:18:12.853 --> 00:18:13.313 Uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3635-0 00:18:13.933 --> 00:18:18.055 Going down downwards at highest N deviation of CB values, which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3635-1 00:18:18.055 --> 00:18:21.597 corresponds to higher syndication values correspond to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3635-2 00:18:21.597 --> 00:18:25.268 heterogeneity or some kind of variability in sub surface b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3635-3 00:18:25.268 --> 00:18:26.363 subsurface level. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3649-0 00:18:26.733 --> 00:18:30.262 So this parameter shows some promise in capturing some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3649-1 00:18:30.262 --> 00:18:32.573 unaccounted side effects in basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3666-0 00:18:35.103 --> 00:18:37.921 We move on to another parameter that we initially looked at, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3666-1 00:18:37.921 --> 00:18:39.123 which was surface texture. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3672-0 00:18:39.133 --> 00:18:41.343 This is another geomorphological metric. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3714-0 00:18:41.773 --> 00:18:44.834 This is just the standard deviation of surface slope, so b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3714-1 00:18:44.834 --> 00:18:48.378 this also helps us to understand horizontal surficial variability b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3714-2 00:18:48.378 --> 00:18:51.492 at a particular site because we are just taking the stand b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3714-3 00:18:51.492 --> 00:18:53.103 division of the surface slope. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3739-0 00:18:53.113 --> 00:18:55.791 So this is not giving us any information about the surface b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3739-1 00:18:55.791 --> 00:18:57.243 level such as ten division, GCB. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3774-0 00:18:57.563 --> 00:19:00.756 Although this is giving us the availability at the surface, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3774-1 00:19:00.756 --> 00:19:04.162 this parameter showed helped and showed like to be a good class b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3774-2 00:19:04.162 --> 00:19:06.823 good classifier for basic and non business sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3802-0 00:19:06.833 --> 00:19:10.654 Because if we look at this spatial plot here, we can see b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3802-1 00:19:10.654 --> 00:19:14.810 low values of surface texture in basins which are these black b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3802-2 00:19:14.810 --> 00:19:15.883 bounded regions. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3835-0 00:19:16.183 --> 00:19:19.074 Black line bounded regions we have loss and it's based in here b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3835-1 00:19:19.074 --> 00:19:21.689 we have San Gabriel here and we can see higher values in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3835-2 00:19:21.689 --> 00:19:23.433 mountain hills and non basin regions. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3852-0 00:19:23.793 --> 00:19:26.886 This parameter help like worked as a good classifier for basins b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3852-1 00:19:26.886 --> 00:19:27.563 and non basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3893-0 00:19:28.583 --> 00:19:32.481 Although when we look at site as duals, which is like a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3893-1 00:19:32.481 --> 00:19:36.797 representation of unaccounted side effects information model, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3893-2 00:19:36.797 --> 00:19:41.182 we don't see any specific trend even at longer periods and the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3893-3 00:19:41.182 --> 00:19:42.783 bias is also very less. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3919-0 00:19:43.253 --> 00:19:47.299 So this disregards any ability of this parameter to account for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3919-1 00:19:47.299 --> 00:19:50.713 any 2 dimensional and three dimensional side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3947-0 00:19:51.993 --> 00:19:55.281 Although this worked as a good classifier of a Bayesian and non b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3947-1 00:19:55.281 --> 00:19:58.313 basins, we move on and look at distance from basin margin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3973-0 00:19:58.463 --> 00:20:01.880 So distance from basin margin is just the distance distance of a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3973-1 00:20:01.880 --> 00:20:04.877 site from the boundary of the basin or the margin of the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3973-2 00:20:04.877 --> 00:20:05.193 basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3998-0 00:20:06.583 --> 00:20:10.078 So we'll again looking at site as duals with distance for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/3998-1 00:20:10.078 --> 00:20:13.573 basement margin parameter, which is X axis in kilometers. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4041-0 00:20:14.003 --> 00:20:18.034 So all the blue markers are loosely based on sides and there b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4041-1 00:20:18.034 --> 00:20:22.131 are some red markers which are based in edge sites defined by b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4041-2 00:20:22.131 --> 00:20:24.973 wiki Roll 2022 based on visual inspection. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4068-0 00:20:26.573 --> 00:20:30.009 So we can see there is a break in trend if we start from b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4068-1 00:20:30.009 --> 00:20:33.083 looking at shorter periods such as PGA .3 seconds. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4084-0 00:20:33.093 --> 00:20:36.223 So there is a break in trend after 2 kilometers. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4099-0 00:20:37.013 --> 00:20:41.883 This trend breaking trend or break point persists even at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4099-1 00:20:41.883 --> 00:20:43.143 longer periods. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4135-0 00:20:43.313 --> 00:20:47.078 So the further investigate this big in trend, we look at this b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4135-1 00:20:47.078 --> 00:20:50.844 plot where I'm again showing site as duals with distance from b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4135-2 00:20:50.844 --> 00:20:52.423 based on margin on X axis. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4179-0 00:20:52.433 --> 00:20:56.665 And I have a vertical dashed black line at 2 kilometers, so b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4179-1 00:20:56.665 --> 00:21:00.755 all the markers beyond two kilometers from basin boundary b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4179-2 00:21:00.755 --> 00:21:04.846 are colored in Gray and all the markers that are within 2 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4179-3 00:21:04.846 --> 00:21:08.443 kilometers from basin boundary are colored in red. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4223-0 00:21:08.733 --> 00:21:12.694 So we can see if we observe the bin means that are blue, we can b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4223-1 00:21:12.694 --> 00:21:16.531 observe there is a slight break in trend or a break point for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4223-2 00:21:16.531 --> 00:21:20.182 all the markers that are within 2 kilometers or beyond two b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4223-3 00:21:20.182 --> 00:21:20.863 kilometers. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4269-0 00:21:20.873 --> 00:21:24.385 So we can observe that there is a change in site response in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4269-1 00:21:24.385 --> 00:21:27.610 site which are closer to the center of the basin income b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4269-2 00:21:27.610 --> 00:21:30.949 present to the site which are closer to the basin edge or b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4269-3 00:21:30.949 --> 00:21:31.813 basin boundary. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4324-0 00:21:32.183 --> 00:21:36.213 And we expected some change in this side response because Basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4324-1 00:21:36.213 --> 00:21:40.054 edge sites and basin margin sides experience some kind of uh b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4324-2 00:21:40.054 --> 00:21:44.147 based related phenomena such as wave trapping, reverberation and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4324-3 00:21:44.147 --> 00:21:47.359 body up to surface wave conversion, which was more b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4324-4 00:21:47.359 --> 00:21:49.563 prominent for based on edge sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4344-0 00:21:50.223 --> 00:21:52.861 So this helps us to set a threshold close to two b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4344-1 00:21:52.861 --> 00:21:54.423 kilometers at least for loss. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4371-0 00:21:54.433 --> 00:21:59.326 And it's based insights helping us to uh classify or the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4371-1 00:21:59.326 --> 00:22:04.133 partition based on edge size from actual base insights. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4397-0 00:22:05.183 --> 00:22:08.001 Although these two kilometre margin or threshold will work b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4397-1 00:22:08.001 --> 00:22:10.819 only for Los Angeles Basin and it will change depending on b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4397-2 00:22:10.819 --> 00:22:12.013 different types of basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4423-0 00:22:12.243 --> 00:22:15.295 So it might be different for different basins and Socal b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4423-1 00:22:15.295 --> 00:22:18.293 depending upon the geological origin, geomorphological b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4423-2 00:22:18.293 --> 00:22:20.583 characteristics and uh sediment deposits. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4456-0 00:22:23.093 --> 00:22:27.193 Moving on, there was another set of parameters that we looked at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4456-1 00:22:27.193 --> 00:22:31.167 and we turned we categorize it under spatial area of influence b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4456-2 00:22:31.167 --> 00:22:32.303 for site response. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4506-0 00:22:33.033 --> 00:22:36.548 So we know that corresponds at a particular site, is influenced b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4506-1 00:22:36.548 --> 00:22:39.568 by site specific surface characteristics as well as as b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4506-2 00:22:39.568 --> 00:22:42.314 well as subsurface characteristics and conditions b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4506-3 00:22:42.314 --> 00:22:45.719 set aside, which involves soil properties and rock properties b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4506-4 00:22:45.719 --> 00:22:46.323 properties. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4509-0 00:22:46.813 --> 00:22:49.303 But horizontal neutrality? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4541-0 00:22:49.313 --> 00:22:52.209 As a site has not been looked at in detail in combination, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4541-1 00:22:52.209 --> 00:22:55.154 because ideally site is sponse should be a function of both b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4541-2 00:22:55.154 --> 00:22:56.823 later and horizontal variability. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4577-0 00:22:57.253 --> 00:23:00.046 So our hypothesis is that the area of influence around the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4577-1 00:23:00.046 --> 00:23:03.075 site that could influence site response at that particular site b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4577-2 00:23:03.075 --> 00:23:05.963 should be a function of both vertical and later variability. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4607-0 00:23:06.673 --> 00:23:09.774 So we're little variability could be a function of some kind b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4607-1 00:23:09.774 --> 00:23:12.672 of versioning variability in terms of surface section or b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4607-2 00:23:12.672 --> 00:23:13.943 roughness of the surface. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4626-0 00:23:15.073 --> 00:23:18.130 While vertical variability will be a function of soil b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4626-1 00:23:18.130 --> 00:23:21.583 properties, she have a velocity change in velocity gradient. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4644-0 00:23:22.313 --> 00:23:26.549 So we look at 2 parameters related to spatial of info area b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4644-1 00:23:26.549 --> 00:23:27.483 of influence. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4675-0 00:23:27.493 --> 00:23:32.607 The first parameter Sai average, we compute it as the average of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4675-1 00:23:32.607 --> 00:23:37.486 surface section and standard deviation of V slope between ZCB b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4675-2 00:23:37.486 --> 00:23:38.273 and Z 1.5. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4713-0 00:23:38.593 --> 00:23:42.242 So surface texture is accounting for that horizontal variability b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4713-1 00:23:42.242 --> 00:23:45.442 and stand deviation of V slope between ZCB, which is the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4713-2 00:23:45.442 --> 00:23:48.698 crystal basement depth and Z 1.5 which is the sedimentary b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4713-3 00:23:48.698 --> 00:23:49.203 basement. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-0 00:23:49.213 --> 00:23:52.998 Depth is, in a sense, accounting for that vertical variability, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-1 00:23:52.998 --> 00:23:56.723 although we are squashing that vertical availability by taking b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-2 00:23:56.723 --> 00:24:00.271 standard deviation to the figure on the left shows that the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-3 00:24:00.271 --> 00:24:03.997 horizontal variability on the top around the site which we are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-4 00:24:03.997 --> 00:24:07.368 accounting in terms of surface texture that we looked at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-5 00:24:07.368 --> 00:24:11.153 earlier and vertical variability which we have squashing, which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4792-6 00:24:11.153 --> 00:24:13.873 is in terms of V slope between ZCB and Z 1.5. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4840-0 00:24:13.883 --> 00:24:17.543 But we are squashing that by taking the standard deviation of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4840-1 00:24:17.543 --> 00:24:21.204 the parameter of this parameter, and we are averaging both of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4840-2 00:24:21.204 --> 00:24:24.569 them to get an average uh parameter, which is a function b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4840-3 00:24:24.569 --> 00:24:26.813 of both lateral vertical variability. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4877-0 00:24:27.303 --> 00:24:30.931 We look at another parameter in which is a similar parameter to, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4877-1 00:24:30.931 --> 00:24:34.169 say average we term is an SSIS 30 which is the average of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4877-2 00:24:34.169 --> 00:24:37.183 against service texture and stand deviation of VS 30. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4909-0 00:24:38.563 --> 00:24:41.979 So higher special area of average parameter value should b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4909-1 00:24:41.979 --> 00:24:45.634 indicate more heterogeneity of variability data side because b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4909-2 00:24:45.634 --> 00:24:46.593 they're average. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4923-0 00:24:46.603 --> 00:24:51.424 We are averaging both surface texture and the vertical b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4923-1 00:24:51.424 --> 00:24:53.353 variability component. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4943-0 00:24:54.163 --> 00:24:57.157 So when we further investigate the trends of these parameter, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4943-1 00:24:57.157 --> 00:24:59.233 which site residuals in Los Angeles basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/4950-0 00:24:59.393 --> 00:25:00.923 So first we look at SCI average. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5014-0 00:25:01.763 --> 00:25:06.163 So all the markers for sites in Los Angeles Basin and we have b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5014-1 00:25:06.163 --> 00:25:10.776 the parameter on the X axis and situs duals in Los Angeles based b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5014-2 00:25:10.776 --> 00:25:14.892 on Y axis, the yellow blue markers have been means and we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5014-3 00:25:14.892 --> 00:25:19.505 can see as we move to higher STI average values, we see more red b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5014-4 00:25:19.505 --> 00:25:20.073 markers. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5051-0 00:25:20.343 --> 00:25:23.658 These red markers are the basin stations that we defined while b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5051-1 00:25:23.658 --> 00:25:26.921 we looked at basin margin sites and we set up a threshold for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5051-2 00:25:26.921 --> 00:25:28.553 loss and business 2 kilometers. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-0 00:25:28.843 --> 00:25:32.931 So all these sites are business stations which are within 2 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-1 00:25:32.931 --> 00:25:37.360 kilometers from basin margin and we consistently see at all four b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-2 00:25:37.360 --> 00:25:41.517 periods that these basin edge stations are present at higher b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-3 00:25:41.517 --> 00:25:45.605 average values, more permanently at greater than 1S average b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-4 00:25:45.605 --> 00:25:49.966 values, which kind of validates what we hypothesize that higher b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-5 00:25:49.966 --> 00:25:53.373 essay values should indicate more variability and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-6 00:25:53.373 --> 00:25:57.530 heterogeneity, which in sense corresponds to basin edge size b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-7 00:25:57.530 --> 00:26:01.210 because they are at the basin edge and they have more b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-8 00:26:01.210 --> 00:26:05.503 heterogeneity and variability in comparison to sites which are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5174-9 00:26:05.503 --> 00:26:09.523 actually in the basin or close to the center of the basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5203-0 00:26:09.853 --> 00:26:13.136 So this parameter also showed some promise to help us b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5203-1 00:26:13.136 --> 00:26:16.724 differentiate Basin and basin margin sites, which could be b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5203-2 00:26:16.724 --> 00:26:19.643 helpful in understanding based in edge effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5218-0 00:26:19.993 --> 00:26:22.683 So this parameter is also could also complement based in. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5236-0 00:26:23.303 --> 00:26:25.821 This is from basin margin parameter in identifying basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5236-1 00:26:25.821 --> 00:26:26.263 edge size. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5263-0 00:26:27.673 --> 00:26:31.300 Moving on, looking at the second parameter, which is SAIS theory, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5263-1 00:26:31.300 --> 00:26:34.818 which was the average of surface texture and standard deviation b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5263-2 00:26:34.818 --> 00:26:35.423 of VSTS 30. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5298-0 00:26:36.133 --> 00:26:39.678 So we again look at all the sites in Socal which is in Gray b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5298-1 00:26:39.678 --> 00:26:43.283 and we have highlighted the loss in the basin sides in blue. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-0 00:26:43.793 --> 00:26:46.946 So we can see at shorter period there is no specific trend, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-1 00:26:46.946 --> 00:26:50.046 although there is a lot of spread and as we move to longer b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-2 00:26:50.046 --> 00:26:53.304 periods, there is some trend at higher scivias 3 values which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-3 00:26:53.304 --> 00:26:56.247 was again expected because higher values represent some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-4 00:26:56.247 --> 00:26:59.032 kind of heterogeneity availability at a site because b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-5 00:26:59.032 --> 00:27:02.079 we are also accounting for horizontal and variability and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5363-6 00:27:02.079 --> 00:27:03.183 vertical variability. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5379-0 00:27:04.203 --> 00:27:07.606 So this parameter also shows some promise to work as b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5379-1 00:27:07.606 --> 00:27:08.313 accounting. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5404-0 00:27:08.323 --> 00:27:12.440 Some unaccounted side effects in commotion models, especially for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5404-1 00:27:12.440 --> 00:27:16.120 Socal because we looked at these trends for all the basins b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5404-2 00:27:16.120 --> 00:27:17.243 combined in Socal. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5436-0 00:27:19.333 --> 00:27:23.189 Moving on to another parameter that was interesting stand b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5436-1 00:27:23.189 --> 00:27:26.913 deviation of absolute difference between Z 1.5 and ZCP. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5464-0 00:27:27.423 --> 00:27:31.331 So Z 1.5 is the cemetery based in depth and then we have ZCB b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5464-1 00:27:31.331 --> 00:27:33.573 which is Christian basement depth. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5499-0 00:27:34.523 --> 00:27:38.253 So be when we looked at site test deals with the parameter, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5499-1 00:27:38.253 --> 00:27:41.983 we again saw there was some trend and spread as we moved to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5499-2 00:27:41.983 --> 00:27:44.843 longer periods, especially at longer periods. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5524-0 00:27:44.853 --> 00:27:48.382 There is a downgoing trend that we see when we look at the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5524-1 00:27:48.382 --> 00:27:51.193 yellow color plus markers which are bin means. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5544-0 00:27:51.543 --> 00:27:56.476 This again showed that this parameter would have, uh, uh, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5544-1 00:27:56.476 --> 00:28:00.643 decent and good pretty power that could be used. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5567-0 00:28:02.553 --> 00:28:06.337 To harness some sighted effects, there is not accounted in ground b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5567-1 00:28:06.337 --> 00:28:07.083 motion model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-0 00:28:08.343 --> 00:28:11.500 There was some parameters that were interesting, although we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-1 00:28:11.500 --> 00:28:14.813 looked at a lot of parameters, some more parameters are such as b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-2 00:28:14.813 --> 00:28:17.918 slope of the basins, deepest point of Basin, Pedro context, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-3 00:28:17.918 --> 00:28:21.024 which was the distance from the deepest point in the basin, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-4 00:28:21.024 --> 00:28:23.819 bedrock contact to the particular site, distance from b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-5 00:28:23.819 --> 00:28:26.873 basin centroid which was the distance from the centroid of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5647-6 00:28:26.873 --> 00:28:29.513 the basin in the sense it was based in centricity. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5691-0 00:28:30.043 --> 00:28:33.870 This is from the process level channel or any old river channel b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5691-1 00:28:33.870 --> 00:28:36.920 and aspect of the listen basement depth, but these b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5691-2 00:28:36.920 --> 00:28:40.567 parameters didn't exhibit any appreciable bias on trends, at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5691-3 00:28:40.567 --> 00:28:41.943 least in loss as basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5708-0 00:28:42.453 --> 00:28:45.507 This disregards any pretty power of these parameters to capture b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5708-1 00:28:45.507 --> 00:28:47.273 additional unaccounted side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5738-0 00:28:47.283 --> 00:28:50.256 Although they could show potential for different basins b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5738-1 00:28:50.256 --> 00:28:53.708 or different sedimentary basins around the world, which is still b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5738-2 00:28:53.708 --> 00:28:54.823 need to be looked at. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5773-0 00:28:56.023 --> 00:28:59.524 So some key takeaways from this part of the presentation is that b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5773-1 00:28:59.524 --> 00:29:02.647 this theory is doing a good job in capturing average side b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5773-2 00:29:02.647 --> 00:29:05.664 effects, but geometric parameters exhibit applicational b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5773-3 00:29:05.664 --> 00:29:05.933 bias. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5788-0 00:29:06.183 --> 00:29:09.042 Some of the parameters exhibit additional bias and spread in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5788-1 00:29:09.042 --> 00:29:09.933 the site residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-0 00:29:10.163 --> 00:29:13.751 In Los Angeles Basin, so there are interesting to look at and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-1 00:29:13.751 --> 00:29:17.397 distance to basin margin helps us to set a threshold for basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-2 00:29:17.397 --> 00:29:21.101 margin sites which is helps us to differentiate based in margin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-3 00:29:21.101 --> 00:29:24.863 of Basin edge sites from actual basin sites in Los Angeles Basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-4 00:29:24.863 --> 00:29:28.335 3 parameters that were very interesting is SI average SIDS, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-5 00:29:28.335 --> 00:29:32.097 30 for Socal stand deviation of JCB and Sen Division of Absolute b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-6 00:29:32.097 --> 00:29:35.917 difference between C and 1.5 for loss and it's basin because they b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-7 00:29:35.917 --> 00:29:39.620 showed some significant trends and bias essai average parameter b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5906-8 00:29:39.620 --> 00:29:43.093 also acts as a classifier for basic and basic margin sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5929-0 00:29:43.173 --> 00:29:46.733 And could be could act like could work in conjugation with b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5929-1 00:29:46.733 --> 00:29:50.173 distance from basin margin to identify Basin Edge sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5932-0 00:29:52.683 --> 00:29:53.243 Moving on. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/5943-0 00:29:55.583 --> 00:29:56.953 To the third part of the presentation. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-0 00:29:58.233 --> 00:30:01.745 So as we looked at different geometric parameters, this part b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-1 00:30:01.745 --> 00:30:05.373 of the presentation will in uh revolve around modeling some of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-2 00:30:05.373 --> 00:30:08.482 the interesting parameters that we looked at and then b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-3 00:30:08.482 --> 00:30:11.936 incorporating those parameter information model and finally b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-4 00:30:11.936 --> 00:30:15.621 performing evaluation of those modified commotion model against b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-5 00:30:15.621 --> 00:30:18.903 the original motion model and see if we can capture some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6010-6 00:30:18.903 --> 00:30:20.343 unaccounted side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6024-0 00:30:20.403 --> 00:30:23.761 And if these parameters can help us uncovering some unaccounted b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6024-1 00:30:23.761 --> 00:30:24.443 side effects? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6038-0 00:30:26.613 --> 00:30:29.929 So modeling of the parameters, we selected three major b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6038-1 00:30:29.929 --> 00:30:30.593 parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6055-0 00:30:30.653 --> 00:30:34.048 Again, Sivas, 30s, ten deviation of absolute difference and stand b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6055-1 00:30:34.048 --> 00:30:34.923 deviation of CCB. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6067-0 00:30:35.133 --> 00:30:37.983 So plot on the right shows scivias theory. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6074-0 00:30:38.513 --> 00:30:39.943 The Black Line is the best fit. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6102-0 00:30:39.993 --> 00:30:43.757 We use a second degree two degree polynomial, best fit b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6102-1 00:30:43.757 --> 00:30:48.000 functional form to model the parameters so we can see the bin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6102-2 00:30:48.000 --> 00:30:48.753 means they. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6115-0 00:30:50.403 --> 00:30:53.853 Uh, they align decently with the best fit lines. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6123-0 00:30:53.863 --> 00:30:55.653 We don't have any overfitting, underfitting. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6157-0 00:30:56.443 --> 00:31:00.997 Similarly, this plot is for 10 division of CB where again the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6157-1 00:31:00.997 --> 00:31:05.478 best fit is shown in the Black line and this is for that her b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6157-2 00:31:05.478 --> 00:31:06.213 parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6168-0 00:31:07.043 --> 00:31:10.093 So we use this functional form moving on. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6211-0 00:31:10.103 --> 00:31:12.931 Now I will discuss how did we incorporate the geometric b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6211-1 00:31:12.931 --> 00:31:16.162 parameter models for all these three individual parameters, and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6211-2 00:31:16.162 --> 00:31:19.243 then we conducted carried out the residual analysis again to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6211-3 00:31:19.243 --> 00:31:22.323 get a new set of residuals which we will use for comparison. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6237-0 00:31:23.503 --> 00:31:27.037 So we have three major components in the ground motion b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6237-1 00:31:27.037 --> 00:31:29.993 model estimate we have in a commercial model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6260-0 00:31:30.003 --> 00:31:32.574 We have even component path component and the site component b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6260-1 00:31:32.574 --> 00:31:35.273 site component is the component where we are majorly interested b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6260-2 00:31:35.273 --> 00:31:35.863 in this study. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6283-0 00:31:37.493 --> 00:31:40.881 So we have the site component for the ground motion model that b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6283-1 00:31:40.881 --> 00:31:42.763 we are looking at, which is bored. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6304-0 00:31:42.773 --> 00:31:45.344 All 2014 has three major component initially linear b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6304-1 00:31:45.344 --> 00:31:48.113 component, nonlinear component and the basin component. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6329-0 00:31:48.123 --> 00:31:51.912 We add the geometric model component in the site component b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6329-1 00:31:51.912 --> 00:31:55.123 of the commotion model, so we term it as sub Geo. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6340-0 00:31:55.313 --> 00:31:58.060 So in this geometric parameter component, we have three b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6340-1 00:31:58.060 --> 00:31:58.943 individual models. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6361-0 00:31:59.273 --> 00:32:02.963 We have three individual models based on all three parameters b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6361-1 00:32:02.963 --> 00:32:05.403 that we looked at in the previous slide. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6395-0 00:32:05.693 --> 00:32:08.957 So we'll model these, see parameter individually and then b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6395-1 00:32:08.957 --> 00:32:12.052 we'll incorporate and look at each of these parameters b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6395-2 00:32:12.052 --> 00:32:15.373 incorporate as a FG O in the promotion model individually. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6443-0 00:32:17.313 --> 00:32:21.341 Uh, so moving on then, once we have the modified commotion b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6443-1 00:32:21.341 --> 00:32:25.300 model with this geometric parameter model incorporated in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6443-2 00:32:25.300 --> 00:32:29.191 the site component, we will compute the new set of total b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6443-3 00:32:29.191 --> 00:32:33.151 residuals, which will be again data minus modified ground b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6443-4 00:32:33.151 --> 00:32:34.653 motion model estimate. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6451-0 00:32:35.943 --> 00:32:37.503 Then we'll partition these. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6456-0 00:32:38.383 --> 00:32:39.503 Uh, totally. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6497-0 00:32:39.513 --> 00:32:42.200 Residuals into event best deals with even and within event b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6497-1 00:32:42.200 --> 00:32:45.161 residuals where within evenness duals we again partitioning into b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6497-2 00:32:45.161 --> 00:32:47.393 a new set of site test to and remaining as well. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6524-0 00:32:47.403 --> 00:32:50.346 So based on these three parameters and T individual b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6524-1 00:32:50.346 --> 00:32:53.232 convolutional model incorporated, we'll have three b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6524-2 00:32:53.232 --> 00:32:55.213 individual sets of site residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6581-0 00:32:55.283 --> 00:32:59.259 After carrying out this residual analysis, so one set of the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6581-1 00:32:59.259 --> 00:33:03.365 first, the site residuals will be based on SI metric parameter b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6581-2 00:33:03.365 --> 00:33:07.275 model, second value based on sand division of ZCB parameter b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6581-3 00:33:07.275 --> 00:33:11.186 model and the third set will be based on stand deviation of b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6581-4 00:33:11.186 --> 00:33:13.663 absolute difference parameter models. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6596-0 00:33:14.213 --> 00:33:17.453 Finally, we'll be calculating variability of these. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6617-0 00:33:20.263 --> 00:33:23.541 And usually obtained residuals site residuals based on the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6617-1 00:33:23.541 --> 00:33:25.153 modified ground motion model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-0 00:33:25.403 --> 00:33:28.995 We'll be specifically looking at free S2S, which is the standard b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-1 00:33:28.995 --> 00:33:31.979 deviation of site residuals representing site to site b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-2 00:33:31.979 --> 00:33:35.074 variability, and it could be it helps us to interpret a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-3 00:33:35.074 --> 00:33:38.500 dispersion of the site residuals for given intensity measure, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-4 00:33:38.500 --> 00:33:41.816 which is finally we used to evaluate the performance of our b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-5 00:33:41.816 --> 00:33:45.021 ground motion of our modified ground motion model against b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6688-6 00:33:45.021 --> 00:33:46.403 original condition model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6715-0 00:33:47.703 --> 00:33:51.006 So we first start with looking some looking at some visual b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6715-1 00:33:51.006 --> 00:33:54.253 visuals for site test tools that we were doing initially. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6736-0 00:33:54.343 --> 00:33:57.638 So we first start with the IS3 parameter which is modeled for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6736-1 00:33:57.638 --> 00:33:58.223 full Socal. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6750-0 00:33:59.233 --> 00:34:02.342 So on the left I have side residuals from the original b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6750-1 00:34:02.342 --> 00:34:03.473 ground motion model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6763-0 00:34:05.043 --> 00:34:07.953 Uh BS14 complement with the basin, uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6811-0 00:34:07.963 --> 00:34:11.650 Socal Basin model so I assigned as duals for four periods on the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6811-1 00:34:11.650 --> 00:34:15.337 right, I have the site residuals from the modified ground motion b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6811-2 00:34:15.337 --> 00:34:18.797 model after incorporating the scivias theory based geometric b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6811-3 00:34:18.797 --> 00:34:21.803 parameter model in the original ground motion model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6856-0 00:34:22.613 --> 00:34:26.920 So if we specifically look at shorter periods, we see there is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6856-1 00:34:26.920 --> 00:34:31.227 some addition spread, but if we look at longer periods on plot b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6856-2 00:34:31.227 --> 00:34:35.329 on the left, it has some friend that we are eliminating and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6856-3 00:34:35.329 --> 00:34:36.013 capturing. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6903-0 00:34:36.123 --> 00:34:39.325 If we look at the plot on right for longer periods at once, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6903-1 00:34:39.325 --> 00:34:42.581 again 3 second, this tells us that the parameter is reducing b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6903-2 00:34:42.581 --> 00:34:45.997 spread and spread trend and bias in residuals, which means that b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6903-3 00:34:45.997 --> 00:34:49.092 we are incorporating some side effects that was not being b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6903-4 00:34:49.092 --> 00:34:49.573 captured. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6912-0 00:34:49.893 --> 00:34:51.663 At least we can see it visually here. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6920-0 00:34:52.423 --> 00:34:56.773 We move on to look at the mean site residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6952-0 00:34:58.493 --> 00:35:01.247 So the plot top two plots show the mean size residuals for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6952-1 00:35:01.247 --> 00:35:03.909 different site categories or different lines are covered b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6952-2 00:35:03.909 --> 00:35:05.683 colored by different site categories. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6985-0 00:35:06.013 --> 00:35:09.752 The plot A is from the original ground motion model BSA 14 Socal b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6985-1 00:35:09.752 --> 00:35:13.203 and the plot B is after we complement that conversion model b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/6985-2 00:35:13.203 --> 00:35:13.433 bit. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7017-0 00:35:13.443 --> 00:35:16.678 The geometric parameter model, so we can clearly see there is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7017-1 00:35:16.678 --> 00:35:19.912 some reduction in the mean side item, which means that we are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7017-2 00:35:19.912 --> 00:35:21.843 capturing more average side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7030-0 00:35:21.933 --> 00:35:26.633 The the lines are moving closer to 00 line. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7062-0 00:35:27.403 --> 00:35:32.099 The plots below these two plots plot CDE&F shows comparison b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7062-1 00:35:32.099 --> 00:35:36.721 between means items for original permission model and modified b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7062-2 00:35:36.721 --> 00:35:40.243 permission model for different site categories. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7105-0 00:35:40.253 --> 00:35:43.643 So first the proxy shows for Base insights where we see the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7105-1 00:35:43.643 --> 00:35:47.372 dashed line is from the original ground motion model and the soil b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7105-2 00:35:47.372 --> 00:35:50.763 line is after we incorporate the geometric parameter model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7122-0 00:35:51.013 --> 00:35:54.127 So we see the at least for longer periods, we are moving b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7122-1 00:35:54.127 --> 00:35:54.783 closer to 0. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7135-0 00:35:54.893 --> 00:35:58.483 So there is a reduction in uh site. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7145-0 00:35:58.993 --> 00:36:02.523 The there is a reduction in mean site as duals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7151-0 00:36:02.993 --> 00:36:03.583 Similarly for. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7164-0 00:36:05.273 --> 00:36:09.203 Similarly, we have similar trends for Basin and Basin Edge b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7164-1 00:36:09.203 --> 00:36:09.603 sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7179-0 00:36:09.773 --> 00:36:12.483 So this is also working for Basin Edge sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7206-0 00:36:13.013 --> 00:36:17.295 Similarly, in plot ENFP for Valley sites and mountain sites, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7206-1 00:36:17.295 --> 00:36:21.577 we are still eliminating and reducing the mean side terms by b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7206-2 00:36:21.577 --> 00:36:23.473 moving it through the zero. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7278-0 00:36:25.763 --> 00:36:29.197 Now moving on, looking at the fee S2S, which is the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7278-1 00:36:29.197 --> 00:36:33.160 variability or site to site dispersion, the plot on the top b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7278-2 00:36:33.160 --> 00:36:37.454 shows again different colors for different side categories based b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7278-3 00:36:37.454 --> 00:36:41.351 in based in Mountain hills, valleys and the dashed line is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7278-4 00:36:41.351 --> 00:36:45.512 the modified promotion model and the soil line is the original b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7278-5 00:36:45.512 --> 00:36:46.833 ground motion model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7318-0 00:36:47.303 --> 00:36:51.388 The bottom plot shows percent reduction in VS2S, so if we look b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7318-1 00:36:51.388 --> 00:36:55.279 at the magenta line, which is for valley sides, we have the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7318-2 00:36:55.279 --> 00:36:59.105 largest reduction at longer periods in comparison to other b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7318-3 00:36:59.105 --> 00:37:00.143 site categories. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7369-0 00:37:00.883 --> 00:37:04.583 While the blue line is for all the sites combined where we have b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7369-1 00:37:04.583 --> 00:37:07.763 around average 2% reduction, combining looking at like b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7369-2 00:37:07.763 --> 00:37:11.405 average over all speed ranges, we don't have any direction for b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7369-3 00:37:11.405 --> 00:37:14.643 short periods, but we have reduction at longer periods. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7388-0 00:37:14.653 --> 00:37:17.513 The various sites shows most reduction, although we have some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7388-1 00:37:17.513 --> 00:37:18.343 reduction in fees. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7415-0 00:37:18.353 --> 00:37:21.892 2S for Mountain Hills as well, but the black line is mostly b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7415-1 00:37:21.892 --> 00:37:25.373 flat and close to 0, so we don't have any deduction fears. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7424-0 00:37:25.383 --> 00:37:28.693 2S for uh based on sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7450-0 00:37:28.703 --> 00:37:32.177 Although we had reduction in means items, that means that we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7450-1 00:37:32.177 --> 00:37:35.823 were reducing or capturing more average side effects in basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7463-0 00:37:35.833 --> 00:37:37.483 But we don't have any reduction in fees. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7480-0 00:37:37.493 --> 00:37:41.369 2S for the reason behind this, no reduction in PS2 is for base b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7480-1 00:37:41.369 --> 00:37:41.923 insights. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7550-0 00:37:41.933 --> 00:37:45.379 Specifically, could be because we are capturing major major b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7550-1 00:37:45.379 --> 00:37:48.539 part of this basin related variability because we have b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7550-2 00:37:48.539 --> 00:37:52.100 already accounted for this that variability while when we are b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7550-3 00:37:52.100 --> 00:37:55.719 because we are using so-called basin model from New Year older b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7550-4 00:37:55.719 --> 00:37:59.108 in 22 and we are also using basin depths and B study which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7550-5 00:37:59.108 --> 00:38:02.153 is also complemented complemented by baseline model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7593-0 00:38:02.483 --> 00:38:05.828 So this could be one reason why we are not seeing any direction b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7593-1 00:38:05.828 --> 00:38:08.859 if he S2S for base insights, although we see reduction in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7593-2 00:38:08.859 --> 00:38:11.943 fees 2S for non basins such as valleys and mountain hills. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7623-0 00:38:14.023 --> 00:38:16.986 Now moving on to the second geometric parameter model, which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7623-1 00:38:16.986 --> 00:38:19.950 was stand deviation of absolute difference between Christian b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7623-2 00:38:19.950 --> 00:38:22.233 basement depth and sedimentary basement depth. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7654-0 00:38:22.403 --> 00:38:25.434 So we again have uh site residuals from the original b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7654-1 00:38:25.434 --> 00:38:29.038 machine model on the left and site residuals from the modified b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7654-2 00:38:29.038 --> 00:38:30.983 ground motion model on the right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7663-0 00:38:31.793 --> 00:38:33.743 And we have four pair ranges. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7690-0 00:38:33.753 --> 00:38:37.799 We can clearly see the if we follow the red curly braces here b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7690-1 00:38:37.799 --> 00:38:41.323 we can see there is a significant reduction in spread b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7690-2 00:38:41.323 --> 00:38:42.563 as shorter periods. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7733-0 00:38:43.793 --> 00:38:47.388 Uh, and if you compare the plot on the left and the right, there b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7733-1 00:38:47.388 --> 00:38:50.984 is a reduction in spread and if you move to longer periods there b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7733-2 00:38:50.984 --> 00:38:54.303 is some trend on the prod on the uh left at longer periods. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7751-0 00:38:54.313 --> 00:38:59.337 But we remove or eliminate this trend as after incorporating the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7751-1 00:38:59.337 --> 00:39:00.883 geometric parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7780-0 00:39:01.253 --> 00:39:05.409 So by this visual inspection we can say that the stand division b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7780-1 00:39:05.409 --> 00:39:09.694 of absolute difference parameter is helping us reduce some spread b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7780-2 00:39:09.694 --> 00:39:11.383 and bias inside residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7784-0 00:39:11.613 --> 00:39:14.103 Insight response in Los Angeles basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7814-0 00:39:15.813 --> 00:39:19.986 Moving on to the third and the final geometric parameter model, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7814-1 00:39:19.986 --> 00:39:23.964 again we visually see on the plot on the left shows original b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7814-2 00:39:23.964 --> 00:39:25.333 commotion model side. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7846-0 00:39:25.343 --> 00:39:28.606 This duals and plot on the right shows modified ground motion, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7846-1 00:39:28.606 --> 00:39:31.870 model sites, duals, and if we again look at longer periods, we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7846-2 00:39:31.870 --> 00:39:33.113 can see there was trend. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7862-0 00:39:34.043 --> 00:39:37.187 Uh for from the original site as well, and we eliminate these b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7862-1 00:39:37.187 --> 00:39:37.593 friends. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7883-0 00:39:39.143 --> 00:39:41.940 Uh, as we'll cooperative incorporate these geometric b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7883-1 00:39:41.940 --> 00:39:44.473 parameter model based on stand division of CFB. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7896-0 00:39:45.303 --> 00:39:48.153 So we again reducing and capturing some unaccounted side b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7896-1 00:39:48.153 --> 00:39:48.553 effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7917-0 00:39:49.023 --> 00:39:52.295 So now comparing the performance of all these models, so first b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7917-1 00:39:52.295 --> 00:39:53.853 we'll look at mean side terms. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7930-0 00:39:55.103 --> 00:39:57.373 Though the miss is the mean means of sight residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7956-0 00:39:57.643 --> 00:40:00.535 So which will help us to see how much average effect more average b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/7956-1 00:40:00.535 --> 00:40:02.813 effect, average side effects that we are capturing. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8027-0 00:40:03.633 --> 00:40:07.620 So the black dashed line is for the Socal original condition b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8027-1 00:40:07.620 --> 00:40:11.737 model and the red dashed line is geometric ground motion model b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8027-2 00:40:11.737 --> 00:40:15.136 modified with scivias 30 parameter blue is for gram b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8027-3 00:40:15.136 --> 00:40:19.319 motion model modifier with stand deviation of ZCB parameter and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8027-4 00:40:19.319 --> 00:40:22.782 the green one is the motion model modified with Stan b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8027-5 00:40:22.782 --> 00:40:25.593 division of absolute difference parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8032-0 00:40:25.753 --> 00:40:26.393 So we can see. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8057-0 00:40:28.523 --> 00:40:32.568 Uh, especially at longer periods there is some reduction in when b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8057-1 00:40:32.568 --> 00:40:34.933 we incorporate the SSIS 30 parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8113-0 00:40:36.333 --> 00:40:39.407 There is more direction for the blue one, which is stand b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8113-1 00:40:39.407 --> 00:40:42.696 division of ECB and we see the most significant reduction in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8113-2 00:40:42.696 --> 00:40:46.040 mean side terms, which is going almost flat at longer periods b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8113-3 00:40:46.040 --> 00:40:49.384 when we incorporate the stand division of absolute difference b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8113-4 00:40:49.384 --> 00:40:51.433 parameter in the ground motion model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8126-0 00:40:52.733 --> 00:40:55.933 Next we look again compare site to site dispersion variability. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8144-0 00:40:57.243 --> 00:41:00.056 Uh across RPM ranges for all the for all the three hermetic b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8144-1 00:41:00.056 --> 00:41:00.853 parameter models. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8159-0 00:41:01.543 --> 00:41:06.253 Again, the black dashed line is for uh original formation model. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8233-0 00:41:06.473 --> 00:41:09.836 We see that the red line coincides with the Black line b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8233-1 00:41:09.836 --> 00:41:13.688 because the SSIS 30 parameter is modeled for Socal in general, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8233-2 00:41:13.688 --> 00:41:17.479 not for lossless basin, but we see reduction in FS2S for from b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8233-3 00:41:17.479 --> 00:41:21.087 other two parameters, which is the blue line from standard b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8233-4 00:41:21.087 --> 00:41:24.694 division of GCB and we have the most significant reduction b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8233-5 00:41:24.694 --> 00:41:26.223 across all period ranges. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8242-0 00:41:26.653 --> 00:41:30.853 For using this stand divisional absolute difference parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8244-0 00:41:33.193 --> 00:41:33.553 So. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8271-0 00:41:36.233 --> 00:41:39.895 All three models showed significant reduction and they b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8271-1 00:41:39.895 --> 00:41:43.757 captured some unaccounted side effects and trends in bias b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8271-2 00:41:43.757 --> 00:41:44.823 inside as duals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8311-0 00:41:45.223 --> 00:41:49.488 Standard deviation of absolute difference between ZCB and Z 1.5 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8311-1 00:41:49.488 --> 00:41:53.554 model shows most significant reduction in variability in Los b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8311-2 00:41:53.554 --> 00:41:57.153 Angeles Basin SIU study, which was modeled for Socal. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8322-0 00:41:57.313 --> 00:41:59.673 It does a good job by performing well in Socal. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8341-0 00:42:00.493 --> 00:42:04.013 Uh, especially, especially for valleys and mountain hills which b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8341-1 00:42:04.013 --> 00:42:04.783 is non basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8350-0 00:42:04.793 --> 00:42:07.903 But it didn't show any improvement for basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8378-0 00:42:08.613 --> 00:42:12.868 So in conclusion, these three geometric parameters perform b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8378-1 00:42:12.868 --> 00:42:16.763 well and they show some significant some reduction in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8378-2 00:42:16.763 --> 00:42:20.153 PS2, S and capturing unaccounted side effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8436-0 00:42:22.543 --> 00:42:27.038 So to summarize everything in this presentation, I presented a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8436-1 00:42:27.038 --> 00:42:31.177 framework which focused on defining basin depth, which is b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8436-2 00:42:31.177 --> 00:42:35.244 we looked at CMH based CB crystal based on depth and GSB b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8436-3 00:42:35.244 --> 00:42:39.454 sedimentary basement depth which help us to calculate some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8436-4 00:42:39.454 --> 00:42:40.953 geometric parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8443-0 00:42:41.293 --> 00:42:43.063 We identified different geometric parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8472-0 00:42:43.073 --> 00:42:46.887 We looked at and explored a suitor parameters, and then we b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8472-1 00:42:46.887 --> 00:42:50.636 narrowed down to three major parameters, which we further b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8472-2 00:42:50.636 --> 00:42:51.153 modeled. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8487-0 00:42:51.463 --> 00:42:53.736 We modeled the best performing parameters from the pseudo b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8487-1 00:42:53.736 --> 00:42:54.873 parameters that we looked at. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8539-0 00:42:55.163 --> 00:42:58.717 We incorporate those geometric parameter models in the motion b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8539-1 00:42:58.717 --> 00:43:01.871 model and evaluated the performance of these models if b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8539-2 00:43:01.871 --> 00:43:05.425 the to see if we are ohk ohk capturing someone unaccounted or b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8539-3 00:43:05.425 --> 00:43:08.579 two dimensional 3 dimensional side effects using these b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8539-4 00:43:08.579 --> 00:43:09.783 geometric parameters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8597-0 00:43:10.263 --> 00:43:13.718 The model developed and the parameter discussed are strictly b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8597-1 00:43:13.718 --> 00:43:17.400 only limited to losses basis and Socal because their performance b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8597-2 00:43:17.400 --> 00:43:20.628 could change depending on different types of sedimentary b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8597-3 00:43:20.628 --> 00:43:24.367 basis, we only looked at for the Los Angeles Basin in general due b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8597-4 00:43:24.367 --> 00:43:26.123 to data issues in other basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8615-0 00:43:27.343 --> 00:43:30.601 This framework would be adopted for other bases and similar b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8615-1 00:43:30.601 --> 00:43:32.773 geometric parameters could be explored. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8634-0 00:43:32.823 --> 00:43:35.193 This could be adopted for the other sedimentary basis. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8695-0 00:43:35.343 --> 00:43:38.593 These geometric parameters are much simpler to compute for the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8695-1 00:43:38.593 --> 00:43:41.585 regions where we don't have enough site specific data, so b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8695-2 00:43:41.585 --> 00:43:44.836 this could be helpful at least some parameters which are based b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8695-3 00:43:44.836 --> 00:43:47.983 on simple geometric metrics such as distance based in margin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8695-4 00:43:47.983 --> 00:43:51.130 could be helpful to look at based on edge sites and based on b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8695-5 00:43:51.130 --> 00:43:51.543 effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8752-0 00:43:52.793 --> 00:43:55.835 Uh, parameters that this also based margin SI average also b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8752-1 00:43:55.835 --> 00:43:58.826 contribute towards better understanding of basic effects, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8752-2 00:43:58.826 --> 00:44:01.972 at least if they are helping us to look at difference inside b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8752-3 00:44:01.972 --> 00:44:05.272 response in basin edge size and based in edge and could help us b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8752-4 00:44:05.272 --> 00:44:07.593 classify based on edge and basing the sites. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8797-0 00:44:08.283 --> 00:44:12.575 Yes, I will study work well for non basins specifically values b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8797-1 00:44:12.575 --> 00:44:16.730 and mountain hills and standard deviation of CB and standing b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8797-2 00:44:16.730 --> 00:44:20.545 mission website difference in the CB and 1.5 short some b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8797-3 00:44:20.545 --> 00:44:21.363 performance. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8809-0 00:44:21.653 --> 00:44:25.700 The good performance for sedimentary based in size and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8809-1 00:44:25.700 --> 00:44:26.583 Los Angeles. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8872-0 00:44:28.983 --> 00:44:32.445 Uh, some of the next step that we yeah, think of aim to look at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8872-1 00:44:32.445 --> 00:44:35.583 is validating and exploring these geometric parameters in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8872-2 00:44:35.583 --> 00:44:39.045 other symmetry basins is local or other basins around the world b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8872-3 00:44:39.045 --> 00:44:42.183 to see if they work well for those boosts basins as well. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8915-0 00:44:42.943 --> 00:44:47.010 Some of the basins that where we could look at these parameters b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8915-1 00:44:47.010 --> 00:44:51.076 could be based in Beijing, Tokyo Inlet based in Alaska, Seattle b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8915-2 00:44:51.076 --> 00:44:54.063 and Tacoma Basin, Puget Lowland region, US so. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8919-0 00:44:56.293 --> 00:44:56.893 Thank you. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8924-0 00:44:57.003 --> 00:44:58.103 And if you have any questions. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8932-0 00:45:06.963 --> 00:45:08.033 Thank you, Rashid. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8939-0 00:45:08.263 --> 00:45:09.613 Are there any questions in the room? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8949-0 00:45:12.013 --> 00:45:14.303 Yes, thanks for a great talk. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8974-0 00:45:14.713 --> 00:45:18.150 I was wondering if you you found including the Asmus in your b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8962-0 00:45:15.173 --> 00:45:15.633 Get. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8974-1 00:45:18.150 --> 00:45:19.503 edger based integration. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8985-0 00:45:19.563 --> 00:45:22.223 I was thinking about the 1995 away earthquake. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/8988-0 00:45:22.453 --> 00:45:22.763 There was. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9002-0 00:45:22.773 --> 00:45:25.651 The damage was along the edge of the basin and there was this b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9002-1 00:45:25.651 --> 00:45:26.023 exactly. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9052-0 00:45:26.033 --> 00:45:30.135 There was kind of as we go back in the edge of the basin with b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9052-1 00:45:30.135 --> 00:45:34.236 the fault in the basin working done that either baby asmas in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9052-2 00:45:34.236 --> 00:45:38.404 the education thing and then if think about what you have Kobe b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9052-3 00:45:38.404 --> 00:45:39.463 testing effects. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9057-0 00:45:40.583 --> 00:45:42.153 Yeah, that is a good point. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9062-0 00:45:42.163 --> 00:45:43.573 We are we. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9103-0 00:45:43.583 --> 00:45:46.750 We didn't look at any specific azimuth related parameter when b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9103-1 00:45:46.750 --> 00:45:49.559 we're looking at metric parameters, but we are looking b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9103-2 00:45:49.559 --> 00:45:52.676 at azimuth based effects right now because we are looking at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9103-3 00:45:52.676 --> 00:45:53.493 some sub basins. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9209-0 00:45:53.863 --> 00:45:57.367 If we categorized losses basin into different subbasins based b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9209-1 00:45:57.367 --> 00:46:00.644 on their differences aside response and we are looking at b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9209-2 00:46:00.644 --> 00:46:04.261 azimuth based effects and there is a considerable difference in b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9209-3 00:46:04.261 --> 00:46:06.183 Sub Basin or basin side response. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9212-0 00:46:06.193 --> 00:46:08.995 When we look at events from different azimuths, especially b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9212-1 00:46:08.995 --> 00:46:11.798 if you are talking about 9094, not the, then that is there b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9212-2 00:46:11.798 --> 00:46:13.983 something interesting that we are looking at. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9231-0 00:46:13.993 --> 00:46:17.480 Although we didn't specifically look at any geometric parameter b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9231-1 00:46:17.480 --> 00:46:20.476 which was based on azimuth build, we looked at aspect, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9231-2 00:46:20.476 --> 00:46:23.746 which was kind of based on azimuth, but it didn't show what b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9231-3 00:46:23.746 --> 00:46:24.563 we expected to. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9247-0 00:46:25.293 --> 00:46:28.037 But you're right, azimuth based dependency is interesting, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9247-1 00:46:28.037 --> 00:46:30.083 especially in different parts of the basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9260-0 00:46:33.963 --> 00:46:37.023 Alan Young, feel free to unmute yourself and ask your question b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9260-1 00:46:37.023 --> 00:46:37.363 please. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9265-0 00:46:40.563 --> 00:46:41.453 Hey, Rashid. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9268-0 00:46:42.163 --> 00:46:43.393 Interesting talk. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9301-0 00:46:43.403 --> 00:46:46.735 Thank you very much and also thank you for working on this b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9301-1 00:46:46.735 --> 00:46:50.462 based on Edge and based on depth problem, we really need to get a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9301-2 00:46:50.462 --> 00:46:51.253 grasp on this. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9339-0 00:46:53.313 --> 00:46:57.851 I have several questions I'm gonna try to limit them the the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9315-0 00:46:53.933 --> 00:46:54.183 Thank you. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9339-1 00:46:57.851 --> 00:47:02.464 fundamental question I have is you're using VS30 as the basis b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9339-2 00:47:02.464 --> 00:47:05.143 to calculate your residuals, right? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9358-0 00:47:05.153 --> 00:47:10.503 And your residuals are assumed to be related to based on Edge b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9358-1 00:47:10.503 --> 00:47:12.143 and based on depth. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9360-0 00:47:12.153 --> 00:47:12.643 Is that correct? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9366-0 00:47:14.483 --> 00:47:14.853 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9368-0 00:47:14.863 --> 00:47:15.333 Residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9387-0 00:47:15.343 --> 00:47:18.246 Uh, yeah, we use commotion model, which is based on VS b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9387-1 00:47:18.246 --> 00:47:19.883 theory and based in depth both. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9388-0 00:47:20.683 --> 00:47:21.123 Right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9432-0 00:47:21.363 --> 00:47:25.708 So the VS30 data that you showed you showed somewhere along the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9432-1 00:47:25.708 --> 00:47:30.189 line you showed the map that was very dense with a lot of symbols b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9432-2 00:47:30.189 --> 00:47:32.633 upside down triangles and all that. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9446-0 00:47:32.763 --> 00:47:35.713 Are those ground motion recording stations? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9436-0 00:47:32.793 --> 00:47:33.123 Ohh yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9451-0 00:47:36.463 --> 00:47:38.533 Or those were just sites in Socal? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9463-0 00:47:38.623 --> 00:47:40.493 Yeah, those were ground motion recording stations. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9482-0 00:47:40.683 --> 00:47:44.913 So we categorize those ground motion recording stations into b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9482-1 00:47:44.913 --> 00:47:47.133 different geomorphic categories. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9495-0 00:47:47.143 --> 00:47:48.003 I think this was the one. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9492-0 00:47:47.473 --> 00:47:48.743 OK, that's the one. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9497-0 00:47:49.023 --> 00:47:49.383 So. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9514-0 00:47:49.433 --> 00:47:53.703 So these are all ground motion recording stations, so they. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9512-0 00:47:53.153 --> 00:47:54.163 Yeah. From NGS. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9517-0 00:47:54.173 --> 00:47:55.053 Two, yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9518-0 00:47:55.733 --> 00:47:56.263 OK. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9534-0 00:47:56.333 --> 00:48:00.521 And each one of these stations have a via sturdy, obviously, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9534-1 00:48:00.521 --> 00:48:00.933 right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9551-0 00:48:00.943 --> 00:48:06.665 That's what gone into your GM and everyone of these, what b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9542-0 00:48:03.533 --> 00:48:03.753 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9551-1 00:48:06.665 --> 00:48:07.553 types of? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9562-0 00:48:07.563 --> 00:48:12.053 Yes, dirty were the basis for these station. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9576-0 00:48:12.323 --> 00:48:16.572 Are they measured via 30 or are they VS dirty coming from other b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9576-1 00:48:16.572 --> 00:48:17.103 methods? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9623-0 00:48:18.433 --> 00:48:22.198 So I think uh the majorly the PS3 that was in the Ng W 2 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9623-1 00:48:22.198 --> 00:48:25.897 database was from various methods and it was then there b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9623-2 00:48:25.897 --> 00:48:29.993 was a selected BSI that were used for ground motion modeling. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9631-0 00:48:30.163 --> 00:48:31.573 So we wrapped those VS 30. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9633-0 00:48:31.583 --> 00:48:31.973 It was. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9668-0 00:48:31.983 --> 00:48:35.191 There was some measured as well, and there was some study for the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9668-1 00:48:35.191 --> 00:48:37.864 sites where there was no measurement which was I think b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9668-2 00:48:37.864 --> 00:48:38.933 proxy Bates B3 values. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9677-0 00:48:38.943 --> 00:48:40.323 So I think it might be a combination of. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9691-0 00:48:42.363 --> 00:48:44.323 All those measured and inferred. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9686-0 00:48:42.653 --> 00:48:42.953 OK. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9742-0 00:48:45.043 --> 00:48:49.757 So I'm I'm I'm I'm kind of concerned about the uncertainty b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9742-1 00:48:49.757 --> 00:48:54.792 in the yesterday itself because in situ measurement based bias b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9742-2 00:48:54.792 --> 00:48:59.266 30 does have uncertainty depending on the type of VS 30 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9742-3 00:48:59.266 --> 00:49:02.383 the type of technique that's used now. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9785-0 00:49:02.393 --> 00:49:07.103 If you're also using infer, that's to say topographic slope b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9785-1 00:49:07.103 --> 00:49:12.284 terrain, whichever you're using, and they're using these inferred b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9785-2 00:49:12.284 --> 00:49:16.759 and and the basis of these inferences are related to how b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9785-3 00:49:16.759 --> 00:49:17.073 you. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9797-0 00:49:18.073 --> 00:49:21.083 Uh, partition your basin. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9818-0 00:49:21.353 --> 00:49:26.359 You know, there's a there's a bit of circular effect there, b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9815-0 00:49:25.703 --> 00:49:26.413 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9818-1 00:49:26.359 --> 00:49:27.193 right, so. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9869-0 00:49:26.643 --> 00:49:29.970 Although I most of the sites that we have here have a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9869-1 00:49:29.970 --> 00:49:33.728 measured B study, but for the sites where there was no where b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9869-2 00:49:33.728 --> 00:49:37.302 study, I think some kind of inferred V study was selected b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9869-3 00:49:37.302 --> 00:49:38.473 for modeling, yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9857-0 00:49:37.543 --> 00:49:38.243 Right, right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9871-0 00:49:38.253 --> 00:49:40.383 What I'm saying is it'll be interesting to see. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9874-0 00:49:41.803 --> 00:49:42.293 Uh. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9933-0 00:49:42.423 --> 00:49:46.527 Which sites are from measured and which sites are from b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9890-0 00:49:45.393 --> 00:49:45.633 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9933-1 00:49:46.527 --> 00:49:50.707 inferred and how the inferred sites look as you do your b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9933-2 00:49:50.707 --> 00:49:55.184 calculation for your basin effects and then look at how the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9933-3 00:49:55.184 --> 00:49:59.588 measured sites look because the measured sites go into the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9933-4 00:49:59.588 --> 00:50:02.573 production for them fired sites, right? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9932-0 00:50:00.523 --> 00:50:00.733 Mm-hmm. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9954-0 00:50:02.623 --> 00:50:07.602 And the inferred sites use geometry as part of its means to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9939-0 00:50:02.803 --> 00:50:03.023 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9954-1 00:50:07.602 --> 00:50:09.013 predict the S 30. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9963-0 00:50:09.443 --> 00:50:10.743 Do you see what I'm saying here? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9976-0 00:50:10.843 --> 00:50:12.003 Yeah, yeah, yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9965-0 00:50:11.663 --> 00:50:12.073 Right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9983-0 00:50:12.083 --> 00:50:15.383 And so if you use VS 30 as a means to get to your residuals. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9994-0 00:50:17.353 --> 00:50:19.533 It gets rather messy there. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/9995-0 00:50:20.493 --> 00:50:21.373 Yeah, that is correct. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10017-0 00:50:21.383 --> 00:50:24.418 Yeah, it would be interesting to look at the inferred whatever b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10017-1 00:50:24.418 --> 00:50:26.923 sites that we have from that have inferred bias 30. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10020-0 00:50:28.843 --> 00:50:29.253 Right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10048-0 00:50:30.183 --> 00:50:32.540 Yeah, I like I said, I have a lot of questions, but I'm gonna b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10048-1 00:50:32.540 --> 00:50:33.643 just keep it to that for now. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10045-0 00:50:33.903 --> 00:50:34.403 Yeah, sure. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10049-0 00:50:34.413 --> 00:50:34.833 No ways. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10053-0 00:50:36.883 --> 00:50:37.243 Thank you. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10056-0 00:50:38.063 --> 00:50:38.693 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10064-0 00:50:38.813 --> 00:50:39.123 Thank you. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10068-0 00:50:39.023 --> 00:50:41.703 Yes, she thinks that was really nice talking. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10081-0 00:50:41.713 --> 00:50:43.973 I'll echo Alan Sayings an important topic. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10099-0 00:50:43.983 --> 00:50:46.453 So I'm glad you all are looking at it in so much detail. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10134-0 00:50:47.243 --> 00:50:51.117 I in the middle part of your talk, you were going through all b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10134-1 00:50:51.117 --> 00:50:55.179 the parameters and it looked to me like the distance to the edge b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10134-2 00:50:55.179 --> 00:50:58.803 of the base end had a pretty strong and consistent trend. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10165-0 00:50:59.443 --> 00:51:02.954 And I don't know, maybe I'm not an expert at at looking all b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10165-1 00:51:02.954 --> 00:51:06.114 these scatter plots, but to me that seems like pretty b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10165-2 00:51:06.114 --> 00:51:07.343 consistent parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10184-0 00:51:08.163 --> 00:51:12.042 Umm, but then I noticed you didn't incorporate that into the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10184-1 00:51:12.042 --> 00:51:12.933 model and see. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10185-0 00:51:14.663 --> 00:51:14.903 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10196-0 00:51:16.823 --> 00:51:18.093 Yeah, there there was some. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10203-0 00:51:17.213 --> 00:51:18.133 Is there reason? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10205-0 00:51:18.143 --> 00:51:19.723 Yeah, there there is a good observation. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10232-0 00:51:19.733 --> 00:51:22.831 There was some trend we did try incorporate that parameter b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10232-1 00:51:22.831 --> 00:51:25.510 initially, but that that parameter didn't show any b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10232-2 00:51:25.510 --> 00:51:27.033 appreciable like performance. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10280-0 00:51:27.583 --> 00:51:31.424 A benefit that we were hoping to look at, we tried some other b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10280-1 00:51:31.424 --> 00:51:35.265 parameters that still showed some trend, but that didn't work b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10280-2 00:51:35.265 --> 00:51:38.920 out as well, but it did help us to look at Basin and basin b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10280-3 00:51:38.920 --> 00:51:42.203 exercises that we further hope to explore in detail. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10292-0 00:51:42.613 --> 00:51:45.323 So there is a good observation that did that. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10327-0 00:51:45.333 --> 00:51:48.912 Parameter did show some trend but it didn't work out as well b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10327-1 00:51:48.912 --> 00:51:52.550 for the that in comparison to the parameters that we selected b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10327-2 00:51:52.550 --> 00:51:53.313 for modeling. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10322-0 00:51:54.333 --> 00:51:54.643 OK. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10324-0 00:51:54.653 --> 00:51:54.853 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10331-0 00:51:54.863 --> 00:51:55.893 So then I had a second question. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10350-0 00:51:55.903 --> 00:52:00.532 You were talking about this 2 kilometer kind of distance away b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10353-0 00:52:00.513 --> 00:52:00.733 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10350-1 00:52:00.532 --> 00:52:01.503 from the end. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10393-0 00:52:01.593 --> 00:52:05.804 I mean, to me it looked maybe like 3 or 4 kilometers work a b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10393-1 00:52:05.804 --> 00:52:09.946 little better, but is that then correlated with your other b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10393-2 00:52:09.946 --> 00:52:14.438 parameters like something about a radius of a couple kilometers b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10393-3 00:52:14.438 --> 00:52:16.123 is influencing the site. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10399-0 00:52:16.133 --> 00:52:17.933 So you have that I. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10414-0 00:52:18.003 --> 00:52:23.013 I forget that the SA I that the one I didn't catch. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10409-0 00:52:20.123 --> 00:52:20.343 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10449-0 00:52:23.023 --> 00:52:27.435 Like what size areas that related to that kind of two or b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10449-1 00:52:27.435 --> 00:52:31.383 three people on their face and edge kind of thing? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10428-0 00:52:27.563 --> 00:52:27.833 Yes. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10441-0 00:52:27.843 --> 00:52:29.013 So the yeah, the. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10461-0 00:52:31.393 --> 00:52:33.563 Is that inherently kind of picking that up? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10473-0 00:52:34.123 --> 00:52:37.773 Yeah, we did not correlate based in edge with this parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10479-0 00:52:37.783 --> 00:52:39.433 But yeah, we this parameter. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10492-0 00:52:39.443 --> 00:52:41.646 I think you were talking about this parameter which worked b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10492-1 00:52:41.646 --> 00:52:41.833 well. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10505-0 00:52:42.323 --> 00:52:44.933 If you look at, yeah, so. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10500-0 00:52:42.573 --> 00:52:42.773 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10518-0 00:52:44.433 --> 00:52:50.130 If you go back a slide, I can't read that there, but like 2500 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10518-1 00:52:50.130 --> 00:52:50.763 meters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10520-0 00:52:50.773 --> 00:52:51.223 OK. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10541-0 00:52:51.293 --> 00:52:54.350 So those two and half dollars, so you use a circular area b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10541-1 00:52:54.350 --> 00:52:55.773 radius of 2 1/2 kilometers. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10552-0 00:52:57.883 --> 00:52:58.093 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10561-0 00:52:57.963 --> 00:53:01.573 Right to to to define this as a I. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10591-0 00:53:03.003 --> 00:53:06.534 So maybe that's sort of capturing some of that two to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10566-0 00:53:03.563 --> 00:53:03.833 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10591-1 00:53:06.534 --> 00:53:10.261 three kilometer distance away from the base and edge and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10591-2 00:53:10.261 --> 00:53:10.653 thing? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10594-0 00:53:11.633 --> 00:53:12.663 Yeah, it could be. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10601-0 00:53:12.673 --> 00:53:13.943 And yeah, you were right. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10663-0 00:53:13.953 --> 00:53:17.762 If you look at this plot, you can see it might look at might b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10663-1 00:53:17.762 --> 00:53:21.633 look like 2-3 to four or two to three kilometers, but we also b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10663-2 00:53:21.633 --> 00:53:25.254 fit like a generic genetic algorithm based breakpoint and b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10663-3 00:53:25.254 --> 00:53:28.876 it was kind of consistent with two kilometers, although 2 b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10663-4 00:53:28.876 --> 00:53:31.873 kilometer is like not a very uh fixed boundary. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10711-0 00:53:31.883 --> 00:53:35.159 This is something that we came up with just like we still have b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10711-1 00:53:35.159 --> 00:53:38.487 to look into it as in detail and it's still not very consistent b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10711-2 00:53:38.487 --> 00:53:41.711 in different parts and it could change depending on different b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10711-3 00:53:41.711 --> 00:53:43.583 types of sedimentary basin as well. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10728-0 00:53:43.883 --> 00:53:46.130 But it is a good point to correlate this with the b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10728-1 00:53:46.130 --> 00:53:47.433 parameters that we looked at. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10740-0 00:53:47.483 --> 00:53:50.753 That is Siri average and like 2500 meters. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10751-0 00:53:51.003 --> 00:53:51.943 So it could be interesting. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10760-0 00:53:52.983 --> 00:53:54.493 Your face and edge back. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10769-0 00:53:54.503 --> 00:53:56.773 A slide also shows a frequency dependence. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10787-0 00:53:56.783 --> 00:53:59.967 So you could consider a frequency dependent radius to b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10787-1 00:53:59.967 --> 00:54:01.383 your essai or something. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10795-0 00:54:01.933 --> 00:54:04.603 Yeah, yeah, that is also a good point. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10803-0 00:54:04.703 --> 00:54:06.373 Yeah, it does show frequency dependence. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10816-0 00:54:08.533 --> 00:54:09.283 They're really nice work. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10819-0 00:54:09.293 --> 00:54:10.973 Thanks. Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10814-0 00:54:10.003 --> 00:54:10.293 Yeah. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10818-0 00:54:10.303 --> 00:54:10.603 Thank you. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10822-0 00:54:13.543 --> 00:54:14.133 Anybody else? b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10827-0 00:54:17.393 --> 00:54:18.433 Last call for online. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10832-0 00:54:21.343 --> 00:54:21.663 OK. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10837-0 00:54:21.673 --> 00:54:22.573 Well, let's give one more. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10845-0 00:54:22.583 --> 00:54:23.603 Thanks for receipt. b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/10846-0 00:54:24.733 --> 00:54:25.173 Thank you.