H003
Advances in Adaptation Methods for Extreme Precipitation and Flooding
Session ID#: 75957
Session Description:
Extreme precipitation events continue to increase in occurrence and severity in the United States and globally. In 2017 Hurricane Harvey dropped unprecedented amounts of rainfall in the Houston area, in some locations approaching 50 inches or more over a three day period. Increases in these kinds of events are expected to continue in the future as the climate warms. Adaptation of infrastructure to these kinds of extreme precipitation events requires the use of intensity-duration-frequency curves (IDF) modified for expected increases in extreme precipitation. This session will explore methods to produce next-generation IDF curves that account for expected increases in extreme precipitation. This includes the use of information from climate model simulations, methods for incorporating snow into IDF values, use of hydrologic models to estimate runoff and flood risk with extreme precipitation.
Index Terms:
1807 Climate impacts [HYDROLOGY]
1817 Extreme events [HYDROLOGY]
1821 Floods [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
Primary Convener: David R Easterling, NOAA Asheville, Asheville, NC, United States
Convener: Yonas Demissie, Washington State University, Civil and Environmental Engineering, Richland, WA, United States
Primary Liaison: Kenneth Kunkel, NOAA Asheville, Asheville, NC, United States; Cooperative Institute for Climate and Satellites North Carolina State, Asheville, NC, United States
A 2D hydrologic and hydraulic modeling approach for the storm triggered cascading flood inundation- a case study of Hurricane Harvey (484696)
Mengye Chen, The University of Oklahoma, Norman, OK, United States, Xiangyu Luo, Pacific Northwest National Laboratory, Richland, WA, United States and Yang Hong, University of Oklahoma, Norman, OK, United States
Changes in Eastern North Carolina PIDF Curves Projected in Dynamically Downscaled CESM and CM3 Models, Under Future Scenarios (2025-2100) Using WRF (526257)
Anna Jalowska, US Environmental Protection Agency Research Triangle Park, Environmental Futures Analysis Branch, Durham, NC, United States, Jared Bowden, U.S. Geological Survey Southeast Climate Science Center, North Carolina State University, Raleigh, NC, United States and Tanya Spero, US Environmental Protection Agency, Research Triangle Park, NC, United States
Suggestion of heavy rain criteria based on the regional characteristics (530549)
Myungjin Lee1, Junhyeong Lee1, Jongsung Kim1, YoungHoon Yoo2, Hung Soo Kim2 and Soojun Kim1, (1)Inha University, Incheon, South Korea, (2)Inha University, Incheon, Korea, Republic of (South)
Application of rainfall ensemble and blending technique in Jungrang basin (532000)
Taewoo Lee1, Myungjin Lee2, YoungHoon Yoo1, Jonghun Lim2, Soojun Kim2 and Hung Soo Kim1, (1)Inha University, Incheon, Korea, Republic of (South), (2)Inha University, Incheon, South Korea
Effect of Synoptic Storm Type on Areal Reduction Factor Estimation: a Case Study in the Mediterranean Region (533587)
Daniela Biondi, University of Calabria, Calabria, Italy, Davide Luciano De Luca, university of Calabria, Rende, Italy, Aldo Greco, University of Calabria, Rende, Italy and Pasquale Versace, University of Calabria, Dimes, Rende, Italy
Evaluation of record-breaking rainfall events in South Korea using an index of surprise (552502)
Hyunjun Ahn1, Thomas R Kjeldsen2, Changsam Jeong3 and Jun-Haeng Heo1, (1)Yonsei University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South), (2)University of Bath, Department of Architecture and Civil Engineering, Bath, United Kingdom, (3)Induk University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South)
Leap from Design Storm to Design Flood: A Revised Intensity-Duration-Frequency Curves (555417)
Yonas Demissie1, Md Rubayet Mortuza1 and Eugene Yan2, (1)Washington State University, Civil and Environmental Engineering, Richland, WA, United States, (2)Argonne Natl Lab-Bldg 203, Argonne, IL, United States
Integrating future climate extremes into hydrologic design concepts (560430)
Aneseh Alborzi1, Firas Jasim2, Iman Mallakpour1, Farshid Vahedifard3 and Amir AghaKouchak4, (1)University of California Irvine, Irvine, CA, United States, (2)Mississippi State University, Starkville, United States, (3)Mississippi State University, Civil and Environmental Engineering, Mississippi State, MS, United States, (4)University of California, Irvine, Civil and Environmental Engineering, Irvine, CA, United States
Runoff analysis using GRM Model and radar rainfall data in Taehwa river basin (568908)
YoungHoon Yoo1, Myungjin Lee2, Young Hye Bae1, Jonghun Lim2, Soojun Kim2 and Hung Soo Kim1, (1)Inha University, Incheon, Korea, Republic of (South), (2)Inha University, Incheon, South Korea
Classification of homogeneous regions using artificial neural network considering climate change for the Han River basin, South Korea (572334)
Changsam Jeong1, Hyunjun Ahn2, Sunghun Kim3 and Jun-Haeng Heo2, (1)Induk University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South), (2)Yonsei University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South), (3)Yonsei University, Seoul, Korea, Republic of (South)
Evaluating Next-Generation Intensity-Duration-Frequency Curves for Design Flood Estimates at Snow-Dominated River Basin Scale: The Need to Develop Snowmelt Hyetograph (602688)
Hongxiang Yan1, Ning Sun2, Mark S Wigmosta1 and L. Ruby Leung2, (1)Pacific Northwest National Laboratory, Energy and Environment Directorate, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States
Next-Generation Intensity-Duration-Frequency Curves for Hydrologic Design: Concepts, Advances, and Future Prospects (Invited) (614385)
Mark S Wigmosta1, Hongxiang Yan2, Ning Sun1, L. Ruby Leung2, Zhangshuan Hou1 and Andre M Coleman1, (1)Pacific Northwest National Laboratory, Energy and Environment Directorate, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States
Evaluating Causes of Enhanced Soil Aggregation in Biochar-Amended Roadway Soils (615367)
Reid Williams1, Seyyed Ali Akbar Nakhli1, Joseph D Brown2 and Paul Thomas Imhoff3, (1)University of Delaware, Civil and Environmental Engineering, Newark, DE, United States, (2)University of Delaware, Newark, United States, (3)University of Delaware,, Newark, DE, United States
Spatial Extreme Precipitation Modeling for The Pacific Northwest United States Using Satellite Information and Max-Stable Processes (618868)
Mohammad Faridzad1, Tiantian Yang2, Kuo-lin Hsu1 and Soroosh Sorooshian1, (1)University of California Irvine, Irvine, CA, United States, (2)The University of Oklahoma, Norman, OK, United States
Future change of extreme rainfall quantile in Korea: Multi Model Ensemble (MME) scenarios from regional climate models (624128)
Sunghun Kim, Yonsei University, School of Civil and Environmental Engineering, Seoul, Korea, Republic of (South), Joohyung Lee, Yonsei University, Seoul, South Korea, Taereem Kim, Yonsei University, Seoul, Korea, Republic of (South) and Jun-Haeng Heo, Yonsei University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South)
Impacts of snowmelt effects and changing climate on design values of future extreme precipitation events (631818)
Eugene Yan1, Getnet Betrie1, Alissa Jared1, Yonas Demissie2 and Md Rubayet Mortuza2, (1)Argonne National Laboratory, Argonne, IL, United States, (2)Washington State University, Civil and Environmental Engineering, Richland, WA, United States
