H43J:
Modeling Hydrological Processes and Changes I


Session ID#: 10549

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, and uncertainties. This session aims to discuss these challenges, propose solutions and report latest results on modeling the hydrological processes and changes of river systems and urban areas. Topics to be addressed are observed and simulated hydrological processes and changes, including but not limited to evaportranspiration, soil moisture, runoff, groundwater, floods, drought, landslides and mudflows, hydrological models and tools, the uncertainties associated and the controlling methods, and in-situ and remote sensing observation, data fusion and assimilation. Case studies in large rivers and greater urbanized areas, distributed hydrological models and long series of hydrological forcing that could drive the hydrological model are particularly welcome.
Primary Convener:  Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Conveners:  Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States, Xingnan Zhang, Hohai University, Nanjing, China and Shuguang Liu, Tongji University, Department of Hydraulic Engineering, Shanghai, China
Chairs:  Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China and Xingnan Zhang, Hohai University, Nanjing, China
OSPA Liaison:  Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

1836 Hydrological cycles and budgets [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
1879 Watershed [HYDROLOGY]

Abstracts Submitted to this Session:

“As-If” the Climate Has Changed; What We Can Expect in Hydrologic Response (Invited) (79792)
Baxter E. Vieux, University of Oklahoma Norman Campus, Norman, OK, United States and Jonathan Looper, Oklahoma Department of Environmental Quality, Oklahoma City, OK, United States
Assessing evapotranspiration variability in contiguous United States: Comparing the various remote-sensed observations (Invited) (61425)
Ximing Cai, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States and Ruijie Zeng, University of Illinois at Urbana Champaign, Urbana, United States
Towards a generalized catchment flood processes simulation system with distributed hydrological model (66030)
Yangbo Chen, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China
Improved Large-Scale Inundation Modelling by 1D-2D Coupling and Consideration of Hydrologic and Hydrodynamic Processes – a Case Study in the Amazon (58366)
Jannis M Hoch1, Marc FP Bierkens2, Rens Van Beek3, Hessel Winsemius4 and Arjen Haag4, (1)Utrecht University, Utrecht, Netherlands, (2)Utrecht University, Department of Physical Geography, Utrecht, Netherlands, (3)Utrecht University, Department of physical geography, Utrecht, Netherlands, (4)Deltares, Delft, Netherlands
Key Techniques and Challenges of Developing Real-Time Flood Forecasting Systems based on the Xin’anjiang Model (68410)
Xingnan Zhang1, Yuanhao Fang2 and Bo Qu1, (1)Hohai University, Nanjing, China, (2)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Hyper-Resolution Large Scale Flood Inundation Modeling: Development of AutoRAPID Model (82380)
Ahmad A Tavakoly1, Michael L Follum2, Mark Wahl3 and Alan D Snow3, (1)Engineer Research and Development Center Vicksburg, Coastal and Hydraulic Laboratory, River Engineering Branch, Vicksburg, United States, (2)Engineer Research and Development Center Vicksburg, Coastal and Hydraulics Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States, (3)Engineer Research and Development Center Vicksburg, Coastal and Hydrualic Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States
Basin Management under the Global Climate Change (Take North-East Asia Heilongjiang -Amur Basin and Taihu Basin For Example) (68897)
Shuguang Liu1,2, Zhengzheng Zhou1,2, Guihui Zhong3 and Xiaoming Zhang2, (1)UNEP-Tongji Institute of Environment for Sustainable Development, Shanghai, China, (2)Tongji University, Deparment of Hydraulic Engineering, Shanghai, China, (3)Tongji University, Department of Hydraulic Engineering, Shanghai, China
Development of a Long-Term (1884-2006) Serially Complete Dataset of U.S. Temperatures and Precipitation for Climate Services (73871)
Jinsheng You1, Martha Shulski2, Kenneth G. Hubbard1, Michael J Hayes3 and Mark D. Svoboda4, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)Univ of Nebraska--Lincoln, Lincoln, NE, United States, (3)University of Nebraska Lincoln, School of Natural Resources, Lincoln, NE, United States, (4)University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States

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