H54A:
DEM-Based Watershed Hydrologic and Water Quality Modeling: Present and Future II


Session ID#: 10626

Session Description:
Digital elevation models (DEMs) have been widely used for watershed hydrologic, environmental, and ecologic modeling. The selection of DEMs depends upon their acquisition techniques, resolutions, interpolation methods, etc. Those factors and DEM-based delineation methods may significantly affect the quality of related watershed modeling. This session will cover all aspects associated with DEM-based, watershed-scale water quantity and quality modeling. The topics of potential contributions may include DEM-based delineation methods, extraction of drainage networks, DEM resolution effects, scale issues and multi-scale modeling, topographic characterization and parameterization, hydrologic connectivity analysis, depression filling-spilling dynamics, and identification of runoff/contaminant contributing areas. Novel methods and techniques for improving DEM-based watershed delineation and modeling are particularly encouraged.
Primary Convener:  Xuefeng Chu, North Dakota State University Main Campus, Civil and Environmental Engineering, Fargo, ND, United States
Conveners:  Xixi Wang, Old Dominion University, Civil and Environmental Engineering, Norfolk, VA, United States and Ximing Cai, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States
Chairs:  Xuefeng Chu, North Dakota State University Main Campus, Civil and Environmental Engineering, Fargo, ND, United States and Ximing Cai, University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States
OSPA Liaison:  Xuefeng Chu, North Dakota State University Main Campus, Civil and Environmental Engineering, Fargo, ND, United States

Cross-Listed:
  • EP - Earth and Planetary Surface Processes
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1839 Hydrologic scaling [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1879 Watershed [HYDROLOGY]

Abstracts Submitted to this Session:

DEM-based Modeling at the Hillslope Scale: Recent Results and Future Process Research Needs (Invited) (59356)
Jeffrey McDonnell1, Anna Coles2, Christopher Gabrielli2, Willemijn M Appels2 and Ali Ameli3, (1)University of Saskatchewan, School of Environment and Sustainability, Global Institute for Water Security, Saskatoon, SK, Canada, (2)University of Saskatchewan, Saskatoon, SK, Canada, (3)University of Waterloo, Waterloo, ON, Canada
DEM Based Modeling: Grid or TIN? The Answer Depends (Invited) (68803)
Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States and Hernan A Moreno, University of Oklahoma Norman Campus, Geography and Environmental Sustainability, Norman, OK, United States
Use of Point Clouds for River Corridor Analysis, Management, and Design (Invited) (75362)
Gregory B Pasternack, University of California Davis, Land, Air, and Water Resources, Davis, CA, United States
Improving the spatial representation of soil properties and hydrology using topographically derived watershed model initialization processes (78459)
Zach M Easton1, Daniel R Fuka2, Amy Collick3, Peter J A Kleinman3, Daniel Auerbach4, Andrew Sommerlot5 and Moges Berbero Wagena5, (1)Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, (2)Virginia Tech, Department of Biological and Systems Engineering, Blacksburg, VA, United States, (3)USDA-ARS Pasture Systems and Watershed Management Research Unit, University Park, PA, United States, (4)EPA, DC, United States, (5)Virginia Tech, Blacksburg, VA, United States
A Vectorial Model to Compute Terrain Parameters, Local and Remote Sheltering, Scattering and Albedo using TIN Domains for Hydrologic Modeling. (76902)
Hernan A Moreno, University of Oklahoma Norman Campus, Geography and Environmental Sustainability, Norman, OK, United States, Fred L Ogden, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Robert Christian Steinke, University of Wyoming, Laramie, WY, United States and Laura Veronica Alvarez, University of Oklahoma and Simon Fraser University, Geography, Norman, OK, United States
Wet Channel Network Extraction based on LiDAR Data (65082)
Milad Hooshyar, University of Central Florida, Orlando, FL, United States, Seoyoung Kim, Univ of Central FL-ENGR2-324, Orlando, FL, United States, Dingbao Wang, University of Central Florida, Orlando, United States and Stephen C Medeiros, Univ of Central FL-ENGR2-324, Orlando, United States
Enhancements to TauDEM to support Rapid Watershed Delineation Services (73282)
Nazmus Shams Sazib, Utah State University, Logan, UT, United States and David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States

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