WEBVTT Kind: captions Language: en-US 00:00:01.840 --> 00:00:04.720 Good afternoon. I’m Jonathan Stewart. 00:00:04.720 --> 00:00:07.520 I’m glad to be joining you by video today. 00:00:07.520 --> 00:00:11.440 I will be talking about the GEER response 00:00:11.440 --> 00:00:15.920 for a potential future northern California earthquake. 00:00:15.920 --> 00:00:20.240 So I am a co-PI of the Geotechnical Extreme Events Reconnaissance 00:00:20.240 --> 00:00:25.016 Association, GEER. I’ll be making this video presentation. 00:00:25.040 --> 00:00:30.000 Due to a scheduling conflict, I’m unable to join you live. 00:00:30.000 --> 00:00:34.240 Thankfully, the live analyst from GEER who is joining you, to whom 00:00:34.240 --> 00:00:38.640 I’m very grateful, is Robb Moss from Cal Poly-San Luis Obispo. 00:00:38.640 --> 00:00:41.760 And Robb is a very experienced of GEER 00:00:41.760 --> 00:00:45.016 and a member of our steering committee. 00:00:45.040 --> 00:00:48.720 What I’d like to do in this presentation is really two things – to tell you just 00:00:48.720 --> 00:00:53.840 a few things about GEER, for those of you who may not be familiar with 00:00:53.840 --> 00:00:59.256 our organization, and then to talk about some resources that the GEER team 00:00:59.280 --> 00:01:04.236 would likely use when they deploy for an event in northern California. 00:01:05.840 --> 00:01:08.560 What is GEER? GEER is a volunteer organization 00:01:08.560 --> 00:01:11.120 of geotechnical engineers, engineering geologists, 00:01:11.120 --> 00:01:16.120 Earth scientists from a broad spectrum of backgrounds. 00:01:16.720 --> 00:01:21.200 We respond to geotechnical extreme events, like earthquakes, within the 00:01:21.200 --> 00:01:26.000 United States and around the world. And we conduct reconnaissance, 00:01:26.000 --> 00:01:31.176 and we document our observations, hopefully in a timely way. 00:01:31.200 --> 00:01:36.080 We seek to collect valuable perishable data that can be used 00:01:36.080 --> 00:01:39.680 to advance research and improve engineering practice 00:01:39.680 --> 00:01:43.088 due to the development of improved models. 00:01:44.400 --> 00:01:49.280 As we do our work, we try to form diverse reconnaissance teams that 00:01:49.280 --> 00:01:54.856 would have the required expertise given the circumstances of an event 00:01:54.880 --> 00:01:59.040 and would have both experienced researchers, established experts, 00:01:59.040 --> 00:02:01.600 as well as more junior researchers who are interested 00:02:01.600 --> 00:02:04.029 in working with reconnaissance. 00:02:05.200 --> 00:02:08.000 GEER is part of a broader reconnaissance community 00:02:08.000 --> 00:02:10.856 that is supported by the National Science Foundation. 00:02:10.880 --> 00:02:16.080 GEER is part of this CONVERGE organization with 00:02:16.080 --> 00:02:21.576 seven different so-called EERs. Of these seven, GEER is the first. 00:02:21.600 --> 00:02:26.480 It was founded over 20 years ago and has responded to a large number 00:02:26.480 --> 00:02:29.840 of events. GEER basically was the model under which 00:02:29.840 --> 00:02:33.096 these other organizations were formed. 00:02:33.120 --> 00:02:37.600 Aside from the EERs, there is support from the reconnaissance enterprise 00:02:37.600 --> 00:02:41.496 through DesignSafe Cyberinfrastructure at University of Texas. 00:02:41.520 --> 00:02:44.480 And, among other things, DesignSafe is the repository 00:02:44.480 --> 00:02:48.136 where our data goes after our work is complete. 00:02:48.160 --> 00:02:51.920 We also are supported by the Natural Hazards Reconnaissance Facility – 00:02:51.920 --> 00:02:54.320 RAPID – at the University of Washington, which provides 00:02:54.320 --> 00:02:58.511 equipment and the expertise on how to use it. 00:02:59.360 --> 00:03:03.680 GEER has responded to over 70 events during its history, 00:03:03.680 --> 00:03:07.120 and the locations are shown here. You can see it’s truly global, 00:03:07.120 --> 00:03:09.120 and it’s not just earthquakes. There’s a variety of 00:03:09.120 --> 00:03:12.202 extreme events that we’ve responded to. 00:03:13.040 --> 00:03:18.456 Part of GEER’s work is education and outreach. 00:03:18.480 --> 00:03:22.000 Back in the days before COVID, we would do in-person events, 00:03:22.000 --> 00:03:28.720 either for a major event briefing or to provide training. 00:03:28.720 --> 00:03:32.696 And this training would usually be talking about strategies for 00:03:32.720 --> 00:03:40.294 conducting effective reconnaissance and hands-on equipment training. 00:03:42.000 --> 00:03:46.160 Of course, we also do online events, especially for the last few years – 00:03:46.160 --> 00:03:49.280 webinars and workshops, again, related to 00:03:49.280 --> 00:03:53.334 a particular earthquake or more general training. 00:03:54.160 --> 00:03:58.000 We also do joint training with our sister organizations, RAPID, 00:03:58.000 --> 00:04:02.560 DesignSafe, and CONVERGE. And we have sponsored 00:04:02.560 --> 00:04:06.102 special sessions at major conferences. 00:04:06.800 --> 00:04:09.920 Now, the second part of my remarks, I just want to comment on some of 00:04:09.920 --> 00:04:15.440 the resources that we would likely use in a team that is responding 00:04:15.440 --> 00:04:17.600 to a northern California earthquake. 00:04:17.600 --> 00:04:21.256 It would be much the same for a southern California earthquake. 00:04:21.280 --> 00:04:24.240 One of the most basic resources we would use anywhere in the world, 00:04:24.240 --> 00:04:26.526 actually, is the USGS ShakeMap. 00:04:26.526 --> 00:04:31.280 It gives a very rapid sense of where shaking is stronger and weaker. 00:04:31.280 --> 00:04:34.936 So here’s one for the Loma Prieta earthquake. 00:04:34.960 --> 00:04:42.320 A tool from USGS we’ve been using recently is the near-real-time 00:04:42.320 --> 00:04:45.976 liquefaction map using liquefaction geospatial models. 00:04:46.000 --> 00:04:51.120 And these models provide liquefaction probabilities, which are marked 00:04:51.120 --> 00:04:56.320 over here, with hotter colors indicating higher probabilities. 00:04:56.320 --> 00:05:00.160 And you can basically overlay where you actually see liquefaction effects 00:05:00.160 --> 00:05:05.680 on these probability maps, and this type of result is, I think, increasingly going 00:05:05.680 --> 00:05:12.536 to be featured in future GEER reports, for earthquakes anyhow. 00:05:12.560 --> 00:05:16.400 Now, one thing that’s particular to urban California – the Bay Area 00:05:16.400 --> 00:05:20.080 and southern California – is California Geological Survey 00:05:20.080 --> 00:05:24.240 has maps of zones of required investigation for liquefaction 00:05:24.240 --> 00:05:27.200 and landslides. Also surface fault rupture. 00:05:27.200 --> 00:05:30.320 So you see here, for example, the green are liquefaction zones. 00:05:30.320 --> 00:05:35.559 The sort of darker brown are landslide zones. 00:05:36.320 --> 00:05:43.520 And these would be an extremely valuable resource to a team that 00:05:43.520 --> 00:05:46.880 is deploying into the field because it’s where you 00:05:46.880 --> 00:05:50.327 might expect to see these different hazards. 00:05:51.360 --> 00:05:57.656 One of the things that we do very often in recent reconnaissance exercises is 00:05:57.680 --> 00:06:03.096 conduct detailed reconnaissance in the area around a ground motion station. 00:06:03.120 --> 00:06:06.400 Again, if you think about the fact that we’re trying to use these observations 00:06:06.400 --> 00:06:10.880 to support model development in the area near a ground motion station, 00:06:10.880 --> 00:06:12.779 you know what the ground motion was. 00:06:12.779 --> 00:06:15.736 So it’s a better case history than one where you don’t know it. 00:06:15.760 --> 00:06:22.296 And so we have these locations. It’s saved in NGA relational databases. 00:06:22.320 --> 00:06:24.000 And these would be ground motion stations that have 00:06:24.000 --> 00:06:27.280 recorded past earthquakes. And so this is the type of information 00:06:27.280 --> 00:06:31.736 we would certainly send with a team going into the field. 00:06:31.760 --> 00:06:36.720 And then the last item I’ll mention, which is a fairly recent one, GEER has 00:06:36.720 --> 00:06:42.056 begun working with the NGL project – Next Generation Liquefaction. 00:06:42.080 --> 00:06:47.920 And, in this collaboration, we can take the NGL database, 00:06:47.920 --> 00:06:53.096 which is a database of case histories of liquefaction, or non-liquefaction. 00:06:53.120 --> 00:06:56.240 Each case history has, of course, a location. 00:06:56.240 --> 00:07:00.560 It has an observed field performance. And it has geotechnical data, 00:07:00.560 --> 00:07:04.720 among other things. And, by re-occupying these sites 00:07:04.720 --> 00:07:08.880 where there’s been prior observations, we can really learn something about, 00:07:08.880 --> 00:07:11.440 you know, what kinds of events would trigger liquefaction 00:07:11.440 --> 00:07:13.416 and what ones would not. 00:07:13.440 --> 00:07:17.200 The map here is a static image, but in the – in the real database, 00:07:17.200 --> 00:07:21.280 you can zoom in as much as you want and see rather specifically where 00:07:21.280 --> 00:07:26.616 different observations were made for the case histories in the database. 00:07:26.640 --> 00:07:28.400 So, with that, I’ll conclude my remarks. 00:07:28.400 --> 00:07:32.985 I appreciate your attention, and I wish you a productive meeting. 00:07:34.600 --> 00:07:39.599 [silence]