H53F:
Urban Flooding: Data, Modeling, Rainfall, and Impacts I


Submit an Abstract to this Session


Session ID#: 62203

Session Description:
Urban flooding is a major threat to cities around the world and may be caused by a combination of heavy rainfall, insufficient local conveyance system (sewers, streams, and ditches) capacity, and high coastal water level events. Urban flooding studies require high-resolution datasets and hydrologic models along with consideration of human interventions. Humans both influence and suffer the impacts of urban flooding. We are soliciting abstracts from the multiple disciplines which study the complex urban water and human system. Examples of relevant work may include: risk assessment, spatial and temporal variability in urban stormwater hydrology, data collection strategies, heavy rainfall analysis and prediction, environmental social justice of urban flooding, flood mitigation strategies, and health impacts of flooding.
Primary Convener:  Brianne K Smith, CUNY Brooklyn College, Earth and Environmental Sciences, Brooklyn, NY, United States
Conveners:  Brian Colle, Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, NY, United States, Timu Gallien, University of California Los Angeles, Civil and Environmental Engineering, Los Angeles, United States and Ali Hamidi, University of California San Diego, La Jolla, CA, United States; Scripps Institution of Oceanography, La Jolla, CA, United States
Primary Liaison:  Ali Hamidi, University of California San Diego, La Jolla, CA, United States; Scripps Institution of Oceanography, La Jolla, CA, United States
Chairs:  Brianne K Smith, Princeton University, Princeton, NJ, United States and Ali Hamidi, University of California San Diego, La Jolla, CA, United States; Scripps Institution of Oceanography, La Jolla, CA, United States
OSPA Liaison:  Brianne K Smith, Princeton University, Princeton, NJ, United States

Cross-Listed:
  • A - Atmospheric Sciences
Index Terms:

1821 Floods [HYDROLOGY]
1834 Human impacts [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1847 Modeling [HYDROLOGY]

Abstracts Submitted to this Session:

Markus Disse, Technical University of Munich, Chair of Hydrology and River Basin Management, School of Engineering and Design, Munich, Germany and Maria Kaiser, Technical University of Munich, Chair of Hydrology and River Basin Management, Munich, Germany
Dong-Jun Seo1, Hamideh Habibi1,2, Ishita Dasgupta3, Matthew David Bartos4, Seongjin Noh1, Sunghee Kim1, Mike Zink5 and Branko Kerkez6, (1)University of Texas at Arlington, Arlington, TX, United States, (2)Prairie View A&M University, College of Agriculture and Human Sciences, Prairie View, TX, United States, (3)The University of Massachusetts Amherst, College of Information and Computer Sciences, Amherst, MA, United States, (4)University of Michigan, Department of Civil and Environmental Engineering, Ann Arbor, MI, United States, (5)The University of Massachusetts Amherst, Department of Electrical and Computer Engineering, Amherst, MA, United States, (6)University of Michigan, Civil and Environmental Engineering, Ann Arbor, MI, United States
Andrew J Miller, University of Maryland Baltimore County, Dept. of Geography and Environmental Systems, Baltimore, MD, United States, James A Smith, Princeton University, Civil and Environmental Engineering, Princeton, United States, Matthew Joseph Cashman, U.S. Geological Survey, Earth System Processes Division, Baltimore, United States, Jonathan J A Dillow, USGS Maryland/Delaware/District of Columbia Water Science Center, Baltimore, MD, United States, Edward J Doheny, USGS Maryland/Delaware/District of Columbia Water Scienc Center, Baltimore, United States, Mary Lynn Baeck, Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States and Molly Margaret Margaret Chaney, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
Brett F Sanders, University of California Irvine, Irvine, CA, United States, Jochen E Schubert, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, United States and Ai-Ling Jiang, University of California, Irvine, Civil and Environmental Engineering, Irvine, CA, United States
William Shuster, USEPA, Cincinnati, United States, Jinshi Jian, Virginia Polytechnic Institute and State University, Blacksburg, United States, Dustin Herrmann, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States, Anthony Parolari, Duke University, Durham, United States, Laura A Schifman, Boston University, Biology, Boston, United States, Aditi Bhaskar, University of Colorado Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States and Ryan D. Stewart, Virginia Polytechnic Institute and State University, Crop and Soil Environmental Sciences, Blacksburg, United States
Justin Vandever, AECOM, Fort Collins, CO, United States, Ricky Torres-Cooban, AECOM, New York, NY, United States and Michael Mak, Silvestrum Climate Associates, San Francisco, CA, United States
Lotte Wilhelmina de Vos1, Hidde Leijnse2, Aart Overeem2, Remko Uijlenhoet3, Dr. Timothy H Raupach4 and Alexis Berne5, (1)Wageningen University and Research Center, Wageningen, Netherlands, (2)Royal Netherlands Meteorological Institute, R&D Observations and Data Technology, De Bilt, Netherlands, (3)Wageningen University and Research, Environmental Sciences, Wageningen, Netherlands, (4)University of Bern, Bern, Switzerland, (5)EPFL, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland

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