H32F:
Modeling Hydrological Processes and Changes Under a Changing Environment II


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Session ID#: 62455

Session Description:
Hydrological processes have been changing due to the dual impacts of climate changes and human activities, and modeling the hydrological processes and changes has long been the goal of the global hydrological communities. Challenges still exist, such as lacking effective models and in-situ observation data, uncertainties related to the climate change prediction and human activities estimation and monitoring. This session aims to discuss these challenges, propose solutions and report latest progress on modeling the hydrological processes and changes of world river systems and urban areas. Topics to be addressed, but not limited to, are urbanization and climate changes in the past and future at city, watershed or regional scale, from the continent to the coastal areas; observation and simulation of hydrological processes and changes in large rivers and greater urbanized areas; hydrological models and tools, uncertainties and controlling methods; and hydrological response changes induced by climate changes and human activities.
Primary Convener:  Zhuping Sheng, Texas A&M University, Texas A&M AgriLife Research, El Paso, United States
Conveners:  Zongxue Xu, Beijing Normal University, Beijing, China, Gil Marie Mahe, Research Institute for Development, MONTPELLIER, France and Alberto Viglione, Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
Primary Liaison:  Zhuping Sheng, Texas A&M University, Texas A&M AgriLife Research, El Paso, United States
Chairs:  Zhuping Sheng, Texas A&M University, Texas A&M AgriLife Research, El Paso, United States and Alberto Viglione, Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria
OSPA Liaison:  Di Long, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
Index Terms:

1807 Climate impacts [HYDROLOGY]
1834 Human impacts [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]

Abstracts Submitted to this Session:

Watershed flood responses to land use/cover changes under rapid urbanization: a case study of Hanxi watershed in the Pearl River Delta Area (Invited) (346136)
Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Detection of changes in flood types and their impact on flood statistics (347267)
Svenja Fischer and Andreas H Schumann, Ruhr University Bochum, Bochum, Germany
Using HEC-HMS and HEC-RAS Models for Rainfall-Runoff Simulation and Flood Inundation Mapping: Case Studies from Nepal and Sweden (383295)
Jeevika Khadka1, Jagritee Bhaukajee2, Linus Zhang1 and Mattias Frisk3, (1)Lund University, Lund, Sweden, (2)Lund University, Kathmandu, Nepal, (3)4IT AB, Lund, Sweden
Hydrological response to land degradation and rehabilitation in the important tributary of the Nile River basin using Wflow-PCRaster/python modelling framework (341239)
Tesfay G Gebremicael1,2, Yasir Mohamed1,2 and Pieter Vanderzaag2,3, (1)IHE Delft Institute for Water Education, Delft, Netherlands, (2)Delft University of Technology, Water Resources, Delft, Netherlands, (3)IHE Delft Institute for Water Education, Land and Water Management, Delft, Netherlands
Can reduced forest density increase resilience to severe drought in municipal water supply watersheds across a gradient of urbanization? (437678)
Katherine L Martin, North Carolina State University, Center for Geospatial Analytics, Raleigh, United States, James M Vose, United States Forest Service, Southern Research Station, Center for Integrated Forest Science, Raleigh, NC, United States, Taehee Hwang, Indiana University Bloomington, Geography, Bloomington, IN, United States, John Coulston, USDA Forest Service Southern Research Station Forest Inventory and Analysis Unit, Blacksburg, VA, United States, Lawrence E Band, University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States and David N Wear, United States Forest Service, Southern Research Station, Raleigh, NC, United States
Nonsationarity in Climate - a Big Challenge for Efficient Hydroglogic Modeling and Prediction in the Northern Great Plains (456992)
Ganming LIU, Bowling Green State University, School of Earth, Environment and Society, Bowling Green, United States and Frank W Schwartz, The Ohio State University, School of Earth Sciences, Columbus, OH, United States
Streamflow Prediction under Extreme Data-scarcity (SPED): Development and comprehensive test of performance (375866)
Mohammadhossein Alipour, University of Central Florida, Orlando, FL, United States and Kelly Maren Kibler, University of Central Florida, Department of Civil, Environmental and Construction Engineering, Orlando, United States

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