H069
Innovations in operational flood forecasting, real time response, and risk mitigation

Session ID#: 161632

Session Description:
Floods cause more economic and human loss than most natural disasters in the U.S.. These losses have been increasing due to multiple factors, including climate change and urbanization. A key step towards minimizing these losses is to provide actionable information before, during, and immediately after extreme events. Lack of real time data on where, when, and how flood waters propagate across complex infrastructure systems makes real-time response and mitigation particularly challenging. 

Through this session, we welcome studies that address challenges in real time flood forecasting, including, but not limited to: real-time flood prediction and warning; flood communication and emergency response; rapid damage and socioeconomic impact assessment; application of observational sensor networks for real time control; and modeling failure cascades across infrastructure systems. We also encourage research and applications of exciting cloud-native geospatial and data science technologies for advancing these topics at large scales.

Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1821 Floods [HYDROLOGY]
4341 Early warning systems [NATURAL HAZARDS]
4346 Emergency response and evacuations [NATURAL HAZARDS]

Primary Convener:  Siddharth Saksena, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Conveners:  J. Michael Johnson, NOAA Affiliate, Lynker, Boulder, United States, Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States and Siddharth Saksena, Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States
Student/Early Career Convener:  Siddharth Saksena, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
 
Advancing real-time error correction of flood forecasting based on the hydrologic similarity theory and data mining techniques (1045371)
Hongshi Wu, Peng Shi and Simin Qu, Hohai University, College Of Hydrology and Water Resources, Nanjing, China
 
Automatic flood overtopping detection in an operational nationwide compound flood forecast system (1051980)
Liping Liu, One Concern Inc, Newark, United States
 
Significant Roles of Dams for Enhanced Supply of Electric-Energy Shortage and Frequent Flood Control - Coping with Heavy Rains and Stable Supply for Renewable Energy - (1075904)
Daijiro Kaneko, Remote Sensing Environmental Monitor, Inc., President, Yokohama, Japan
 
Integration of Satellite and Telemetry into Community Based Flood Early Warning System for Disaster Preparedness and Risk Reduction in Malawi. (1101745)
Calvince Wara1, Felix Kasiti1, James Wanjohi Nyaga1, Bikram Shakya2, HelKumar Shreshtha3, Shailendra Shakya4, Hasting Mbale5, Ted Nyekanyeka6, Anastasia Mumbi Wahome1, Denis Macharia7, Samuel Gama8, Fedson Chikuse9, Amos Mtonya10, Rabi Narayan11, Phoebe Oduor1 and Robinson M Mugo1, (1)Regional Centre for Mapping of Resources for Development (RCMRD), Nairobi, Kenya, (2)International Centre for Integrated Mountain Development (ICIMOD), Water & Hydrology, Kathmandu, Nepal, (3)Sustainable Eco Engineering Pvt (SEE), Engineering and Development, Kathmandu, Nepal, (4)International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal, (5)Department of Water Resources (DWR), Water Resources & Hydrology, Lilongwe, Malawi, (6)United Development Programme (UNDP), M-CLIMES, Lilongwe, Malawi, (7)Regional Center for Mapping Resources for Development (RCMRD), Nairobi, Kenya, (8)Department of Disaster Management Affairs (DoDMA),, Disaster Preparedness and Risk Reduction, Lilongwe, Malawi, (9)Department of Disaster Management Affairs (DoDMA), Disaster Preparedness and Risk Reduction, Lilongwe, Malawi, (10)Department of Climate Change and Meteorological Services (DCCMS), Meteorological Forecasting, Lilongwe, Malawi, (11)United Development Programme (UNDP), Lilongwe, Malawi
 
Development of a Route Search System considering the Risk of being involved in Flooded areas (1102435)
Kohei Ogawa, Mihara, Hiroshima, JAPAN, Takuya Inoue, Hiroshima University, Higashihiroshima, Japan and Yuki Hiramatsu, Civil Engineering Research Institute for Cold Region, Sapporo, Japan
 
Flood Evacuation Planning Tool: A New Prototype Combining Machine Learning, Transportation Networks, and Hydraulic Properties (1113926)
Keri Stephens, University of Texas at Austin, Austin, United States, Vidya Samadi, Clemson University, Agricultural Sciences Department, Clemson, SC, United States, Pamela Murray-Tuite, Clemson University, Clemson, United States, Amanda Hughes, Brigham Young University, Provo, United States and Rishav Karanjit, Clemson University, Clemson, SC, United States
 
Fast Flood Mapping with Synthetic Aperture Radar Data Using Google Earth Engine (1129090)
Seyed Mohammad Ebrahim Hamidi1,2, Brad G. Peter3,4, David F Muñoz5,6, Hamed Moftakhari5,7 and Hamid Moradkhani5,7, (1)University of Alabama, Department of Civil, Construction and Environmental Engineering, Tuscaloosa, United States, (2)University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (3)The University of Arkansas, Department of Geosciences, Fayetteville, United States, (4)University of Alabama, Department of Geography, Tuscaloosa, United States, (5)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (6)Virginia Tech, Department of Civil and Environmental Engineering, Blacksburg, United States, (7)The University of Alabama, Civil, Construction, and Environmental Engineering, Tuscaloosa, United States
 
Applying a Deep Convolutional Neural Network to Segment the Flooding Extent from Images of Urban Flooding: Toward an Urban Flood Monitoring System (1132064)
Yidi Wang1, Yawen Shen2, Behrouz Salahshour3, Mecit Cetin3, Khan Iftekharuddin4, Navid Tahvildari3, Devin K Harris1, Guoping Huang5 and Jonathan L Goodall1, (1)University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States, (2)One Concern, Inc., Menlo Park, CA, United States, (3)Old Dominion University, Civil and Environmental Engineering, Norfolk, VA, United States, (4)Old Dominion University, Electrical and Computer Engineering, Norfolk, VA, United States, (5)University of Richmond, Spatial Analysis Lab, Richmond, VA, United States
 
Stress-Testing a High-Resolution Explicit Stream-flow Forecast Modeling System on a Historic Flood Inundation event in SE North Carolina (Invited) (1132866)
John McHenry, Organization Not Listed, Washington, United States
 
Impact of Downstream Flow Contribution on the Flood Prone Areas of a Hydropower Project (1139797)
Dipsikha Devi and Arup Kumar Sarma, Indian Institute of Technology Guwahati, Department of Civil Engineering, Guwahati, India
 
Flash Flood Prediction for Effective Evacuation using Operational Deterministic Flood Forecast: Case Study of Small-to-Medium Sized River Basins in Japan (1150739)
Kodai Yamamoto1, Takahiro Sayama1 and Akihiko Yamaji2, (1)Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan, (2)Disaster Prevention Research Institute, Kyoto University, Uji, Japan
 
Utility of Satellite-based remotely sensed streamflow in a spatio-temporal hierarchical model for improving NWM forecasts (1151375)
Shiqi Fang, North Carolina State University Raleigh, Raleigh, NC, United States, Sankar Arumugam, North Carolina State Univ, Raleigh, NC, United States, Michael Johnson, NOAA Affiliate, Lynker, Fort Collins, United States and Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States
 
Quantifying social inequality arising from flood inundation and its impacts on infrastructure services (1162122)
Qasim Adegbite, NC State University, Raleigh, NC, United States, Victor Augusto de Faria, North Carolina State University Raleigh, Operations Research Program, Raleigh, NC, United States, Sankar Arumugam, North Carolina State Univ, Raleigh, NC, United States, Anderson Queiroz, NC State Univ-Civil & Env Engr, Raleigh, NC, United States; NC Central University, Durham, NC, Department of Decision Sciences, Economics, and Finance, Durham, United States, Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States, Ranji S Ranjithan, NC State University, Raleigh, United States and Victor Duraes De Faria, Sankar Arumugam, Anderson de Queiroz, Ranji Ranjithan
 
Helping Those Who Need It Most: Open Access Tool for Modeling Flood Hazards and Community Adaptive Capacity in Near-Real Time (1164841)
Matthew Preisser, University of Texas at Austin, Austin, United States, Paola Passalacqua, University of Texas at Austin, Dept. of Civil, Architectural, and Environmental Engineering, Austin, TX, United States and Patrick Bixler, University of Texas at Austin, Austin, TX, United States
 
A Framework for Metropolitan Scale Mechanistic Multi-Hazard Flood Inundation Forecasting (1166826)
Jochen E Schubert, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States, Adam Luke, Zeppelin Floods, LLC, Mission Viejo, CA, United States, Amir AghaKouchak, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States and Brett F Sanders, University of California Irvine, Irvine, CA, United States
 
Travel Route Planning Under Flood Inundation Conditions (1166951)
Victor Augusto de Faria, North Carolina State University Raleigh, Operations Research Program, Raleigh, NC, United States, Anderson Queiroz, NC State Univ-Civil & Env Engr, Raleigh, NC, United States, Ranji S Ranjithan, NC State University, Raleigh, United States, Sankar Arumugam, North Carolina State Univ, Raleigh, NC, United States and Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States
 
The Urban Flooding Open Knowledge Network: Delivering Flood Information to Anyone, Anytime, Anywhere (1172334)
Lilit Yeghiazarian, University of Cincinnati Main Campus, Cincinnati, OH, United States
 
Structural Controllability of Flooding Networks (1178725)
M. Sadegh Riasi, University of Cincinnati, Cincinnati, United States and Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States
 
AutoRAS - An Automated HEC-RAS based Short-Range Flood Forecast System at Building Level Resolution (1179826)
Sayan Dey1, Siddharth Saksena2, Venkatesh Merwade1 and Lilit Yeghiazarian3, (1)Purdue University, West Lafayette, IN, United States, (2)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States, (3)University of Cincinnati, Cincinnati, OH, United States
 
Fast and Economic Flood Risk Mapping in Large Basins (1181220)
Krutikkumar Patel, Texas A&M University Kingsville, Kingsville, TX, United States and Adnan Rajib, Texas A&M University Kingsville, Environmental Engineering, Kingsville, United States
 
Modeling Flood Peak Flows for Watersheds in the United States Using an XGBoost Model (1194322)
Jennifer Huang1, Keith A Sawicz2, Samyadeep Ghosh3, Srinivas Kondapalli3, Kiran Chinnayakanahalli2 and Hemant Chowdhary2, (1)Verisk Analytics, Boston, United States, (2)Verisk Analytics, Research, Boston, United States, (3)Verisk Analytics, Research, Hyderabad, India
 
Flood Forecasting and Assessment Using Deep Recurrent Neural Networks (1198849)
Sadegh Sadeghi Tabas, Clemson University, Department of Civil Engineering, Clemson, SC, United States and Vidya Samadi, Clemson University, Agricultural Sciences Department, Clemson, SC, United States
 
Subseasonal-to-Seasonal Prediction of River Flow for India’s Cauvery, Narmada, and Yamuna River Basins: Improving Predictability using a Multi-Scale Dynamical-Statistical Hybrid Approach (1200612)
Thomas M Hopson, National Center for Atmospheric Research, Boulder, CO, United States, David N Yates, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, Emily E Riddle, University of Massachusetts Amherst, Amherst, MA, United States and Jonathan Quebbeman, RTI International, Fort Collins, CO, United States
 
Can We Just Get Along? The Role of Human-In-The-Loop Machine Learning Protocol for Advancing Flood Evacuation Decision Making (1201010)
Vidya Samadi, Clemson University, Agricultural Sciences Department, Clemson, SC, United States, Keri Stephens, University of Texas at Austin, Austin, United States and Amanda Hughes, Brigham Young University, Provo, United States
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