WEBVTT
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/63-0
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Please, it's my pleasure to
introduce Rashid Shams as the
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Earthquake Science Center
seminar speaker today.
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Rashid is a PhD student in the
USC Department of Civil
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Engineering, working with
Professor Hueneke. Umm.
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Before USC, before you started
at USC here in the master
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Masters of Technology in
earthquake science and
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engineering from IIT Dombak and
he also has a Bachelor of
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Technology in Civil Engineering.
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/156-0
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I've been working with Rashid
and uh Buca for the past couple
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/156-1
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of years on a USGS funded
project related to.
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Developing new predictive
parameters for site response and
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base and response in Los
Angeles.
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And I was so impressed by the
work that rashi's been doing in
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/213-1
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his only his first two years as
PhD, that I thought ESC would
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also be interested to hear what
he's been up to.
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And with that, I'll pass it over
to him.
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Yes.
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Hi everyone.
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You.
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Thank you for the introduction,
Doctor Parker, and I'm very I'm
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very thankful for the
opportunity to present at this
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platform.
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So I am Rashid Shams.
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/281-0
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Uh, I'm a PhD student at Civil
Environmental Engineering
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Department at University of
Southern California.
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I work with Doctor Buchanan and
we get a search group and today
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I will be presenting uh uh.
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My talk, titled geometric
parametrization of Basins for
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Cyrus Sponse analysis and
modeling, where I will discuss
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different geometric parameters
that we explored and identified
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to understand and look into uh
based inside relative inside
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related effects in sedimentary
basins.
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I wanted to acknowledge my
collaborators, my advisor,
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Professor Nuke and Doctor Parker
for all the help and the
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insights while carrying out this
work.
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So I'll just start.
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So the outline of the
presentation, this presentation
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will be in three major parts.
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In the first part, I will
discuss the introduction and the
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motivation behind this work.
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-0
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The data set that we use in the
side response in Los Angeles and
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/490-1
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the VS 30, the second part will
discuss the geometric parameters
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that we looked at and explored
for Los Angeles basin and
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different symmetry basins and so
Cal, which will be detailed
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about the description of the
parameter.
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Our intuition behind the
parameters they use and how did
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we estimate those parameters?
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The third part will go over the
model development that we did
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based on those geometric
parameters and the performance
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of the developed model in
comparison to the ground motion
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models and ending with key
takeaways and future scope of
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the work.
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-0
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So moving on, so we know the
current ground motion model that
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/623-1
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we have, they capture site
related effects in a form of a
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site component or some kind of
site component which is based on
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majorly 1 dimensional site
parameters such as VS 30 or base
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in depth such as 0.5 or 0.5, ISO
surface depths.
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So this approach captures most
of the site related features and
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00:03:18.382 --> 00:03:20.909
average size effects,
essentially based on sediment
b0889a18-2f9e-49ed-a1c1-c2b0e584f25a/668-2
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deposit, but it is limited in
capturing data and multi
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dimensional 2 dimensional and
three dimensional side effects.
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So our major aim or overarching
aim of this work was to export
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geometric parameters which can
complement or work in
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conjunction with one decided
parameters such as VS theory and
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00:03:38.295 --> 00:03:39.193
base in depths.
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And we worked on this exporting
these parameters, incorporating
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the geometric parameters and
models in commotion model to
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finally reduce variability and
site to site dispersion.
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So we carried out this work in
three major steps.
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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
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00:03:59.364 --> 00:04:02.193
geological cross sections and
basement depths.
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00:04:03.973 --> 00:04:05.613
Second step involved.
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00:04:06.413 --> 00:04:10.330
Uh, deriving base in geometric
parameters, exploring different
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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
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00:04:17.480 --> 00:04:21.459
effects and commotion models we
usually we mostly used basement
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00:04:21.459 --> 00:04:25.190
depths and geomorphological
features for deriving different
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geometric parameters, and the
third is the final step involves
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00:04:29.107 --> 00:04:32.713
evaluation of some selected suit
of geometric parameters.
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00:04:32.823 --> 00:04:35.644
Incorporation of those
parameters in models, model
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00:04:35.644 --> 00:04:39.073
development and evaluation of
the performance of the model in
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comparison to the original
ground motion models.
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00:04:44.273 --> 00:04:47.847
So moving on with the data set
that we use, our data set mostly
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00:04:47.847 --> 00:04:51.253
comprise of NGS two, so Cal data
and the rich cast sequence.
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00:04:52.083 --> 00:04:56.145
The top plot shows the
recordings with magnitude and
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distance bonjour distance, where
the red clear triangles are the
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00:05:01.126 --> 00:05:05.724
Socal data that we mostly use
and the bottom plot shows the
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00:05:05.724 --> 00:05:10.705
number of recordings with period
and where the black dashed line
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00:05:10.705 --> 00:05:15.533
is the NCVS 2 data from 2014 and
where the blue dashed line is
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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
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00:05:41.350 --> 00:05:45.833
931 sites in Socal and 182 sites
in Los Angeles.
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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.