H009
Advances in integrated data collection, analyses and flood modeling of complex urban systems
Session ID#: 85529
Session Description:
Recent unprecedented extreme events have highlighted that the existing approach for managing flood risk is inadequate for complex urban systems because of its over reliance on simplistic methods, lack of model physicality and inadequate treatment of interconnectedness of the HydroGrid, a complex multi-layer network of water in natural and built environments. To increase flood resilience in urban environments, we must leverage current advances in integrated modeling of physical processes, and emerging technologies in data collection and analysis across the urban system. This session invites studies demonstrating: (i) the application of hyper-resolution flood modeling and forecasting frameworks for urban systems, (ii) systems analysis and data science techniques for advancing flood resilience, (iii) information delivery technologies for real-time decision-making across the entirety of the urban system, (iv) use of novel data collection methods, including citizen science for improving urban flood prediction, and (v) integrated modeling, and physical and financial flood mitigation strategies.
Index Terms:
1821 Floods [HYDROLOGY]
1834 Human impacts [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1932 High-performance computing [INFORMATICS]
Primary Convener: Venkatesh Merwade, Purdue University, West Lafayette, IN, United States
Conveners: Lilit Yeghiazarian, University of Cincinnati, Cincinnati, OH, United States, David Farnham, Carnegie Institution for Science Stanford, Dept. of Global Ecology, Stanford, CA, United States and Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Primary Liaison: Venkatesh Merwade, Purdue University, West Lafayette, IN, United States
Rapid Simulation of Urban Rainstorm Flood Based on WCA2D and SWMM Model (492822)
Zhaoyang Zeng1, Chengguang Lai2, Zhaoli Wang2, Jiachao Chen2, Peiqi Chen2, Sijing He2 and Shanshan Li2, (1)South China University of Technology, Tianhe, China, (2)South China University of Technology, Guangzhou, China
An enhanced water quality module of the SWMM model for evaluating Low Impact Development (LID) in Urban area (504130)
Sangsoo Baek1, Mayzonee Ligaray1, JongCheol Pyo2, Jong-Pyo Park3, Joo-Hyon Kang4, Jong A Chun5, Hong Seokimin1 and Kyung Hwa Cho6, (1)Ulsan National Institute of Science and Technology, Ulsan, South Korea, (2)Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South), (3)HECOREA. INC, Seoul, South Korea, (4)Dongguk University, Seoul, South Korea, (5)APEC Climate Center, Busan, Korea, Republic of (South), (6)School of Urban and Environmental Engineering, Ulsan National Institute Science and Technology (UNIST), Ulsan, South Korea
A national-scale real-time data analytics application for assessing the potential impacts of flooding on communities (513539)
Vidya Samadi, University of South Carolina Columbia, Civil and Environmental Engineering, Columbia, SC, United States, Nattapon Donratanapat, University of South Carolina Columbia, Department of Computer Science and Engineering, Columbia, SC, United States and Jose M Vidal, University of South Carolina Columbia, Department of Computer Science and Engineering, Columbia, United States
Automated Hyper-Resolution Flood Forecasting in a Coastal Urban Setting (521141)
Peter Singhofen1, Yonggang Liu2 and Robert H Weisberg2, (1)Streamline Technologies, Winter Springs, FL, United States, (2)University of South Florida, College of Marine Science, St. Petersburg, FL, United States
Interactive and Real-time Flood Inundation Mapping on Client-Side Web Systems (530593)
Ibrahim Demir, University of Iowa, Iowa City, IA, United States, Anson Hu, Massachusetts Institute of Technology, Cambridge, MA, United States, Zhouyayan Li, University of Iowa, Iowa City, United States and Aman Manazir, University of Wisconsin-Madison, Madison, WI, United States
In-Situ Determination of Volumetric Flow Rate via Surface Imaging Techniques (561669)
Greg Hendrickson, University of Texas at Austin, Austin, TX, United States and Blair A Johnson, University of Texas at Austin, Civil, Architectural, & Environmental Engineering, Austin, TX, United States
Application of Databank-Based Data Assimilation and Sensitivity Analysis of Pumping Operation for Improvement of Urban Inundation Model (571464)
Yoshihiro Shibuo1, Lianhui Wu1, Yoshimitsu Tajima2, Dai Yamazaki3, Hiroshi Sanuki4 and Hiroaki Furumai1, (1)The University of Tokyo, Tokyo, Japan, (2)University of Tokyo, Bunkyo-ku, Japan, (3)The University of Tokyo, Institute of Industrial Sciences, Tokyo, Japan, (4)Penta-Ocean Co., Ltd., Nasushiobara, Japan
Development of an urban flood forecast model for near real time flood forecast (574514)
Gwangseob Kim1, Myojeong Kim2 and Ting Li1, (1)Kyungpook National University, School of Architectural, Civil, Environmental and Energy Engineering, Daegu, South Korea, (2)Kyoungpook National University, Civil engineering, Daegu, South Korea
An Improved Flood Forecasting Framework with a Quantile based Probabilistic Approach for a Coastal Urban Catchment (576214)
Mousumi Ghosh, Indian Institute of Technology Bombay, Mumbai, India, Hiteshri K Shastri, Charotar University of Science and Technology, M.S. Patel Department of Civil Engineering, Anand, India, Subhankar Karmakar, Indian Institute of Technology Bombay, Mumbai-400076, India, Centre for Environmental Science and Engineering, Mumbai, India and Subimal Ghosh, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India
AQPI: SYSTEMS REQUIREMENTS FOR HYDROLOGICAL FUNCTIONS (587411)
Lynn E Johnson, NOAA Boulder, PSD2, Boulder, CO, United States, Greg Pratt, NOAA Earth System Research Laboratory, Global Systems Division, Boulder, CO, United States, Jungho Kim, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and Robert Cifelli, NOAA Earth System Research Laboratory, Boulder, CO, United States
Safer_RAIN: a Fast-Processing DEM-Based Algorithm for Pluvial Flood Hazard Assessment Across Large Urban Areas (600008)
Attilio Castellarin1, Caterina Samela2, Simone Persiano Sr3, Stefano Bagli4, Valerio Luzzi5, Paolo Mazzoli6, Jaroslav Mysiak7, Günter Humer8 and Andreas Reithofer8, (1)University of Bologna, Bologna, Italy, (2)University of Basilicata, DICEM, Potenza, Italy, (3)University of Bologna, DICAM, Bologna, Italy, (4)GECOsitema Srl, R&D, Rimini, Italy, (5)Gecosistema Srl, R&D, Rimini, Italy, (6)GECOSistema Srl, R&D, Rimini, Italy, (7)CMCC Euro-Mediterranean Center on Climate Change, Ca’ Foscari University of Venice, Venice, Italy, (8)Dipl.-Ing. Günter Humer GmbH, Geboltskirchen, Austria
Pre-training of urban flood simulation for real-time flood forecasting within uncertainty quantification framework (601223)
Donghui Xu1, M. Chase Dwelle2, Daniel B. Wright3, Jongho Kim1, Khachik Sargsyan4 and Valeriy Yu Ivanov5, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)University of Michigan, Ann Arbor, MI, United States, (3)University of Wisconsin Madison, Madison, WI, United States, (4)Sandia National Laboratories, Albuquerque, NM, United States, (5)University of Michigan, Department of Civil and Environmental Engineering, Ann Arbor, MI, United States
Dynamic Operation of Chicago’s Waterways System using Hydraulic Performance Graphs (HPGs) (602725)
Andres Rojas1, Dimitrios K Fytanidis2 and Marcelo H Garcia2, (1)University of Illinois at Urbana Champaign, Champaign, IL, US, IL, United States, (2)University of Illinois at Urbana Champaign, Urbana, IL, United States
A Revisit of Temporal and Spatial Variability and Resolution of Rainfall Measurements Relevant for Urban Hydrology (609101)
Hao Luo1, Irene Crisologo2, Daniel E Horton3, Marcelo H Garcia1, Scott M Collis4 and Aaron Ian Packman5, (1)University of Illinois at Urbana Champaign, Urbana, IL, United States, (2)Northwestern University, Department of Earth and Planetary Sciences, Evanston, United States, (3)Northwestern University, Earth & Planetary Science, Evanston, IL, United States, (4)Argonne National Laboratory, Argonne, IL, United States, (5)Northwestern Univeristy, Evanston, IL, United States
Simulating the flood hydrodynamics of complex urban systems using a hyper resolution integrated modeling framework (612633)
Siddharth Saksena1, Neel Arun Salvi1, Sayan Dey1, Venkatesh Merwade1, Peter Singhofen2, Lin Zeng3 and Anu Ramaswami4, (1)Purdue University, West Lafayette, IN, United States, (2)Streamline Technologies, Winter Springs, FL, United States, (3)University of Minnesota, Minneapolis, United States, (4)Princeton University, Department of Civil & Environmental Engineering, Princeton, NJ, United States
A Benchmarking Library for Making Smart Stormwater Research Accessible (616335)
Sara Troutman1, Sara Rimer2, Abhiram Mullapudi1 and Branko Kerkez1, (1)University of Michigan Ann Arbor, Civil and Environmental Engineering, Ann Arbor, MI, United States, (2)Argonne National Laboratory, Argonne, IL, United States
Integrating Parcel Scale Tidal and Rainfall Runoff Modeling for Municipal and County Planning in Charleston, South Carolina (617094)
Landon Knapp, Organization Not Listed, Washington, DC, United States and Norman S Levine, College of Charleston, Department of Geology and Environmental Geosciences, Charleston, SC, United States
AQPI: Improved Operational Response to Precipitation Events in the San Francisco Bay Area (620463)
Greg Pratt, NOAA Earth System Research Laboratory, Global Systems Division, Boulder, CO, United States, Lynn Johnson, Cooperative Institute for Research in the Atmosphere and NOAA ESRL, Physical Sciences Division, Fort Collins, CO, United States and Robert Cifelli, NOAA Earth System Research Laboratory, Boulder, CO, United States
Vehicles as sensors: high-accuracy rainfall maps from windshield wiper measurements (624190)
Matthew David Bartos1, Hyongju Park2, Tian Zhou3, Branko Kerkez4 and Ramanarayan Vasudevan3, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)University of Michigan, Ann Arbor, MI, United States, (3)University of Michigan, Ann Arbor, United States, (4)University of Michigan Ann Arbor, Civil and Environmental Engineering, Ann Arbor, MI, United States
Performance of a Conceptual and a Physically-Based, Distributed Model in Simulating Extreme Events over a Semi-Urbanized Watershed in San Antonio, Texas (625171)
Hatim Osman Sharif, University of Texas at San Antonio, Department of Civil and Environmental Engineering, San Antonio, TX, United States, Dawit Ghebreyesus, University of Texas at San Antonio, San Antonio, United States, Charles W Downer, Engineer Research and Development Center, Coastal and Hydrualic Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States and Sheeba Mary Thomas, San Antonio River Authority, San Antonio, TX, United States
Measuring and modeling groundwater flooding in coastal urban areas (626985)
Xin Su, Stevens Institute of Technology, Union City, NJ, United States and Valentina Prigiobbe, University of Texas at Austin, Castle point on Hudson, 07030 Hoboken NJ USA, Austin, TX, United States
Large-domain high-resolution urban flood modeling in the cloud (634500)
Firas Saleh, Jupiter, New York City, NY, United States, Venkatsundar Ramaswamy, Jupiter, New York, NJ, United States and Victor Rodriguez, Jupiter, New York, United States
