NH007
Data Science and Machine Learning for Natural Hazard Sciences II Posters

Tuesday, 8 December 2020: 04:00-20:59
Poster
Primary Convener:  Hui Tang, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany
Conveners:  Eileen Rose Martin, Virginia Polytechnic Institute and State University, Department of Mathematics & CMDA Division, Blacksburg, VA, United States, Robert Weiss, Virginia Tech, Blacksburg, VA, United States and Lin Ji, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Primary Liaison:  Hui Tang, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany
Chairs:  Hui Tang, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 4.7 Earth Surface Process Modelling, Potsdam, Germany, Eileen Rose Martin, Stanford University, Stanford, CA, United States and Lin Ji, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
OSPA Liaison:  Robert Weiss, Virginia Tech, Blacksburg, VA, United States
 
The enhanced global landslide nowcast and recent major events (670397)
Thomas Stanley1,2, Dalia Kirschbaum2, Garrett Benz3,4, Robert Emberson2,4, Pukar Man Amatya1,2 and Marin Kristen Clark5, (1)Universities Space Research Association, GESTAR, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)Universities Space Research Association, Greenbelt, MD, United States, (5)Univ Michigan, Ann Arbor, MI, United States
 
Difference between "natural" and "provoked" disaster in terms of the concept of Kontarianstvo. (670630)
Vladimir A Kontar and Lyubov M Shlafman, Federal GEOS Funding, Phoenix, AZ, United States
 
Nowcasting earthquakes with Machine Learning:How Aftershocks and swarms may signal regional tectonic stress (671047)
John B Rundle, University of California Davis, Department of Earth and Planetary Sciences, Davis, CA, United States and Andrea Donnellan, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Natural disaster as a samost-community in terms of the concept of Kontarianstvo. (677330)
Lyubov M Shlafman and Vladimir A Kontar, Federal GEOS Funding, Phoenix, AZ, United States
 
Random Forest Predictions of Fine Ash Content Using Properties of Electric Discharges in Shock Tube Experiments (687071)
Lindsey Rayborn, University of British Columbia, Vancouver, BC, Canada and Mark Jellinek, Univ British Columbia, Vancouver, BC, Canada
 
Analysis on Structural Uncertainty of Ensemble Method for Landslide Susceptibility Analysis (689747)
Hyojin CHO1, Sung Joo Lee1, Yuyoung Choi2, Hye In Chung2 and Seong Woo Jeon2, (1)Korea University, Environmental Science & Ecological Engineering, Seoul, Korea, Republic of (South), (2)Korea University, Environmental Science & Ecological Engineering, Seoul, South Korea
 
Predicting Tropical Storms Power Outages with Multidisciplinary Information for the Continental United States (698852)
Peter Lawrence Watson, University of Connecticut, Civil and Environmental Engineering, Groton, CT, United States, Emmanouil N Anagnostou, University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States and Donatella Pasqualini, Los Alamos National Laboratory, Los Alamos, NM, United States
 
Machine Learning-assisted Agent-Based Modeling for Hurricane Track Prediction (703293)
Arthur Drake, University of Maryland College Park, College Park, MD, United States, Favour Nerrise, University of Maryland, College Park, College Park, MD, United States, Emily Kaplitz, University of Maryland College Park, College Park, United States and Michelle Bensi, University of Maryland College Park, Department of Civil and Environmental Engineering, College Park, MD, United States
 
Machine learning analysis of morphometry-extreme flood links in the Lower Colorado River Basin (704523)
Lin Ji1, Victor R Baker1, Hoshin Vijai Gupta1, Ty P A Ferre1 and Tao Liu2, (1)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of Arizona, Tucson, AZ, United States
 
Democratizing Safety During an Earthquake: Multi-Disciplinary Spatial Optimization for Defining Evacuation Centers with Fair Access in L.A. County (717164)
Yueqi Gu1, Jacqueline Sosa1 and Orhun Aydin1,2, (1)University of Southern California, Los Angeles, CA, United States, (2)ESRI, Redlands, CA, United States
 
An Unsupervised Misinformed Users and Content Identification of Covid-19 on Twitter Leveraging Frequency of Posts (725985)
Aarzoo Dhiman, Indian Institute of Technology Roorkee, Roorkee, India and Durga Toshniwal, Indian Institute of Technology Roorkee, Computer Science and Engineering, Roorkee, India
 
Gaussian Process Emulation for Landslide Run-out Modeling (729494)
Hu Zhao1 and Julia Kowalski1,2, (1)RWTH Aachen University, Aachen Institute for Advanced Study in Computational Engineering Science, Aachen, Germany, (2)University of Göttingen, Geoscience Centre, Göttingen, Germany
 
Mapping Inundation from Hurricane Florence (2018) with L-Band Synthetic Aperture Radar, Commercial Imagery, and Ancillary Data via Machine Learning Classification (734486)
Alexander Melancon1, Andrew Molthan2, Lori A. Schultz1 and Jordan R Bell2, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)NASA Marshall Space Flight Center, Huntsville, AL, United States
 
Prediction of Wave Overtopping from Coastal Defence Structures using Neural Networks and Ensemble Machine Learning Approach (734783)
Juliana Negrini1,2, Soroush Abolfathi3 and Alireza Daneshkhah2, (1)University of Warwick, School of Engineering, Coventry, CV4, United Kingdom, (2)Coventry University, School of Computing, Electronics and Mathematics, Coventry, United Kingdom, (3)University of Warwick, School of Engineering, Coventry, United Kingdom
 
Deep Learning to Locate Seafloor Landslides in High Resolution Bathymetry (745251)
Alec Dyer1,2, Dakota Zaengle1,3, MacKenzie Mark-Moser1,3, Rodrigo Duran4,5, Anuj Suhag6,7, Kelly Rose1 and Jennifer Bauer1, (1)National Energy Technology Laboratory, Albany, OR, United States, (2)Leidos, San Diego, CA, United States, (3)Leidos Research Support Team, Albany, OR, United States, (4)National Energy Technology Laboratory, Oak Ridge Institute for Science and Education, Albany, OR, United States, (5)Theiss Research, Davis, OR, United States, (6)National Energy Technology Laboratory, Oak Ridge, United States, (7)Oak Ridge Institute for Science and Education, Oak Ridge, United States
 
QuakeCast, an Earthquake Forecasting System Using Ionospheric Anomalies and Machine Learning (750542)
Jessica Reid, Jeffrey Liu and Bhavani Ananthabhotla, MIT Lincoln Laboratory, Lexington, MA, United States
 
Automated Early Detection of Wildfire Smoke Using Deep Learning with Combined Spatial-Temporal Information (751418)
Aristana Scourtas, Northwestern University, Evanston, IL, United States, Ismael Perez, San Diego Supercomputer Center, La Jolla, United States, Mai Nguyen, University of California San Diego, La Jolla, United States and Ilkay Altintas, University of California San Diego, La Jolla, CA, United States
 
Using Lightning Data in the Quest for Real-time Detection of Wild Fires Using the ABI Instrument Onboard GOES-16 (766388)
Nihar Gupte1, Istvan Kereszy1 and Imre Bartos2, (1)University of Florida, Ft Walton Beach, FL, United States, (2)University of Florida, Gainesville, FL, United States
 
Social and Environmental Impact of Karst Erosion on the Atoyac River, Mexico (771824)
Iliana Guadalupe Hernandez Lopez and Enrique Gonzalez-Sosa, Autonomous University of Queretaro, Engineering Faculty, Queretaro, Mexico
 
A SURROGATE-AIDED MODEL FOR NEARSHORE WAVE ESTIMATIONS OVER THE SHALLOW NGOM WATERS (772311)
Azadeh Razavi Arab, University of Southern Mississippi, Stennis Space Center, MS, United States
 
Spatio-Temporal Colocation Causality Analysis of Injected Water and Induced Earthquakes in Oklahoma (774452)
Orhun Aydin, University of Southern California, Los Angeles, CA, United States
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