[NGSC] Webinar: Disaster Debris Modeling for Coupled Human-Built-Natural Systems 30March2022

[Todorov, Niko]

Dear NGSC colleagues,

If you're curious about natural hazard debris modeling in a coupled human-built-natural environment using Jupyter notebooks and Quantum GIS this webinar is for you!

WHAT: Debris modeling
WHEN: Wed 3/30/2022 2:00-3:30 EDT

Registration link<https://www.designsafe-ci.org/learning-center/training/webinars/ds/2022/leveraging-designsafe-disaster-debris-modeling/>

Thanks,
Niko Grisel Todorov
Chapman University
(424) 262-5354
todorov at chapman.edu<mailto:todorov at chapman.edu>

[https://x9h3j.mjt.lu/img/x9h3j/b/xksp/i2rp.png]
30  Mar 2022               1:00pm - 2:30pm US Central Time

LEVERAGING DESIGNSAFE FOR DISASTER DEBRIS MODELING:

A WORKFLOW FOR COUPLED HUMAN-BUILT-NATURAL SYSTEMS


Registration is required <https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fx9h3j.mjt.lu%2Flnk%2FAUwAAEyvmwkAAAAFbiAAAAWhSDYAAAAAhZcAAJmEABiSlwBiOdbwBEVOVycDTSiCDy9joJWgowAX-t0%2F1%2FTEi3kAc5Ok0-LnpCgYL11g%2FaHR0cHM6Ly93d3cuZGVzaWduc2FmZS1jaS5vcmcvbGVhcm5pbmctY2VudGVyL3RyYWluaW5nL3dlYmluYXJzL2RzLzIwMjIvbGV2ZXJhZ2luZy1kZXNpZ25zYWZlLWRpc2FzdGVyLWRlYnJpcy1tb2RlbGluZy8&data=04%7C01%7Ctodorov%40chapman.edu%7C604d67ff769d431a7c7f08da0c13c6f2%7C809929af2d2545bf9837089eb9cfbd01%7C1%7C0%7C637835576349673113%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=NFFsTawzay%2FTaIU5omLCpBVFj8PH87VZBMGFD1HPWT0%3D&reserved=0> to receive connection information for the webinar.

About the Webinar

The complex interactions of natural hazards, such as hurricanes, with the dynamics of coastal areas lead to important challenges in the estimation of disaster impacts and consequences in these regions. For instance, the large amount of hurricane-induced debris on coastal areas can cause severe financial and logistical burdens to coastal communities, jeopardize the accessibility of vulnerable communities to critical facilities such as hospitals or shelters due to its accumulation on roads as bridges, and lead to adverse health consequences to the community due to its improper disposal or the immediate spreading of toxic debris. The load effects of storms in the built- and natural-environment, the land-cover characteristics of the region, and the shifting patterns of coastal landscapes, its socio-demographics and climate, contribute and have a direct influence on the debris generation and spreading process in the aftermath of hurricane events.

However, existing debris estimation mainly focus on wind-induced debris and produce estimates with errors of nearly 50%, highlighting the importance of developing more comprehensive models that can account for the multi-dimensional aspects involved in the debris generation and propagation process while improving accuracy. Therefore, in order to support mitigation strategies and debris management plans, it is necessary to create models that can capture the coupling of human-built-natural systems in coastal regions exposed to hurricane events.

The objective of this study is to develop a framework to estimate the amount of waterborne debris following a severe storm using machine learning techniques. In the talk, emphasis will be given as to how different DesignSafe tools enable the analysis of complex systems and support regional risk assessment studies. Examples of how to combine Geographical Information Software, Jupyter notebooks, and data management tools within DesignSafe will be presented and leveraged to do a hands-on demonstration of storm and built-environment coupling in the context of hurricane-induced debris modeling. Participants will be able to use and modify a python script to use within QGIS which will allow to extract important storm intensity parameters such as surge elevation and wave height at specific locations, visualize outputs in QGIS, and export them as a web map.



About the Presenters

Jamie E. Padgett is a Professor in the Department of Civil and Environmental Engineering at Rice University in Houston, TX. Dr. Padgett's research focuses on the application of probabilistic methods for risk assessment of infrastructure, including the subsequent quantification of resilience and sustainability. Her work emphasizes structural portfolios such as regional portfolios of bridges or oil storage tanks exposed to multiple hazards, including earthquakes, hurricanes, or aging and deterioration. She has published over 200 articles in journals or archived conference proceedings in the general area of structural response, reliability and life-cycle assessment. Among other projects, Dr. Padgett currently serves in leadership roles within several large national or regional research efforts including the NIST Center of Excellence for Community Disaster Resilience (headquartered at Colorado State University), the NSF NHERI Cyberinfrastructure "DesignSafe-CI" (headquartered at University of Texas, Austin), and the Severe Storm Prediction Education and Evacuation from Disasters (SSPEED) Center (headquartered at Rice University).

Catalina González-Dueñas is a Ph.D. candidate in the Department of Civil and Environmental Engineering at Rice University working under the supervision of Professor Jamie E. Padgett. She obtained both her M.S. and B.S. degree in Civil Engineering from Universidad de Los Andes, Colombia, with an emphasis on structural engineering. Her doctoral dissertation focuses on the performance assessment of coastal systems considering time-varying factors and cascading effects, such as debris. Her research interests include the application of probabilistic methods to assess risks under extreme hazard events, community resilience under climate change conditions, and the interaction of built-, natural-, and social-systems.





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