H162
Advances in Integrated and Coupled Systems Modeling for Improved Urban Flood Risk and Impact Assessment II Posters

Tuesday, 15 December 2020: 04:00-20:59
Poster
Primary Convener:  Siddharth Saksena, Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States
Conveners:  Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States and Venkatesh Merwade, Purdue University, West Lafayette, IN, United States
Primary Liaison:  Siddharth Saksena, Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States
Chairs:  Siddharth Saksena, Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States, Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States and Venkatesh Merwade, Purdue University, West Lafayette, IN, United States
OSPA Liaison:  Siddharth Saksena, Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, United States
 
Mitigation of Radar Partial Beam Blocking in urban environmentusing statistical analysis of dual-polarization parameters (719496)
DaeHyung Lee, Daegu, Kyungpopk, South Korea, Choeng-lyong Lee, Kyungpook National University, Daegu, Korea, Republic of (South), Wonbae Bang, Kyungpook National University, Center for Atmospheric REmote sensing (CARE), Daegu, South Korea, Geunsu Lyu, Kyungpook National. Univ, Daegu, South Korea, Gyuwon Lee, Kyungpook National University, Department of Astronomy and Atmospheric Sciences, Daegu, South Korea, Alexander Ryzhkov, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States and Hong-Mok Park, Kyungpook National Univ., Daegu, South Korea
 
There is no vaccine for sea level rise (751431)
Alan F Blumberg, Jupiter Intelligence, New York, NY, United States and Rich Sorkin, Jupiter Intelligence, San Mateo, United States
 
A GIS-based DEM Correction Method to Improve Urban Flood Simulation Results (698860)
Yun Xing1, Qiuhua Liang2, Huili Chen2 and Xieyao Ma1, (1)Nanjing University of Information Science & Technology, School of Hydrology and Water Resources, Nanjing, China, (2)Loughborough University, School of Architecture, Building and Civil Engineering, Loughborough, United Kingdom
 
A novel raster and vector coupled model for urban storm water routing simulation in the plain river network region: A case in Beijing Municipal Administrative Center (720390)
Yichi Zhang, Beijing Normal University, State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing, China and Shengtian Yang, Beijing Normal University, Beijing, China
 
Assessing the impacts of urbanization on flooding using WRF-Hydro, a process-based hydrological modeling system (712040)
Ulysse Pasquier1, Pouya Vahmani1 and Andrew D Jones2, (1)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Assessment of Channel Flow Depth in a Data-Scarce Urban Catchment of Eastern India (723469)
Ashutosh Pati and Bhabagrahi Sahoo, Indian Institute of Technology Kharagpur, School of Water Resources, Kharagpur, India
 
Comparing simplistic versus complex modeling approaches for simulating localized urban flooding (705535)
Siddharth Saksena1, Lin Zeng2, Neel Arun Salvi3, Sayan Dey3, Venkatesh Merwade3, Anu Ramaswami4 and Peter Singhofen5, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, VA, United States, (2)Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States, (3)Purdue University, West Lafayette, IN, United States, (4)Princeton University, Department of Civil & Environmental Engineering; Princeton Environmental Institute & M.S. Chadha Center for Global India, Princeton, NJ, United States, (5)Streamline Technologies, Winter Springs, FL, United States
 
Effect of data and model resolution on urban flood modeling (699155)
Ashish Shrestha1, Margaret Ellen Garcia1 and Giuseppe Mascaro2, (1)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States, (2)Arizona State University, Tempe, AZ, United States
 
Forecasting Inundation Extents using REOF analysis (FIER) over Greater Houston in Texas (764956)
Hyongki Lee, University of Houston, Civil and Environmental Engineering, Houston, TX, United States, Chi-Hung Chang, University of Houston, Houston, TX, United States, Abebe S Gebregiorgis, Harris County Flood Control District, Risk Mitigation Department, Houston, TX, United States and Kristopher Lander, NOAA Fort Worth, Fort Worth, TX, United States
 
Improving the Characterization of Urban Flash Floods through Application of Local Knowledge (700184)
Koorosh Azizi and Claudio I Meier, University of Memphis, Department of Civil Engineering, Memphis, TN, United States
 
Predicting roadway flood susceptibility using crowdsourced traffic data (766063)
Arefeh Safaei Moghadam1, Barbara E Minsker1 and David G Tarboton2, (1)Southern Methodist University, Dallas, TX, United States, (2)Utah State University, Logan, UT, United States
 
Smart Fabrics Prevent Water Flooding (770468)
Gelareh Raoufi, Wayne State University, Detroit, MI, United States
 
The dynamic fine-scale urban flood risk map based on insurance data, machine learning, and GPU-WRF (771701)
Zhihao Liang1, Simin Zeng1, Xing Yu2, Kaihao Long1, Yihong Guo1, Bingyi Hu1, Jack Zhang1, Jing Lin1 and Yue Zheng1, (1)Ping An Property & Casualty Insurance Company of China， Ltd., Shenzhen, China, (2)Shenzhen Institute of Artificial Intelligence and Robotics for Society,and Institute of Robotics and Intelligent Manufacturing,The Chinese University of Hong Kong, Shenzhen, China
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