249 Symposium--Recent Advances in Watershed-Scale Modeling

Oral Session
ASA Section: Environmental Quality
According to the US EPA, a watershed approach is the most effective framework to address today’s water resource challenges. Watershed-scale computer models are used to develop total water quality standards and evaluate landuse scenarios to meet the standards in the US under the Total Maximum Daily Load program and in Europe under the Water Framework Directive. This oral session (with a supporting poster session) will describe recent changes to models designed to improve the simulation of variable source area hydrology, onsite septic systems, stormwater BMPs, ephemeral gullies, riparian buffers, and wetland processes. Auto-calibration tools and down-scaling climate change model data will also be discussed.
Cosponsor(s):

Soil Physics

Tuesday, November 4, 2014: 7:55 AM-12:00 PM
Hyatt Regency Long Beach, Shoreline B

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Organizers:
Kurt A. Spokas , David E. Radcliffe and Glenn V. Wilson
Presiders:
David E. Radcliffe and Glenn V. Wilson
7:55 AM
Introductory Remarks
8:00 AM
Can Hydrologic Complexity Simplify Watershed Modeling.
Zachary Easton, Virginia Tech; Amy Collick, USDA-ARS; Daniel Fuka, Virginia Tech
8:40 AM
New Ephemeral Gully, Riparian Buffer, and Wetland Components within the USDA Annualized Agricultural Non-Point Source (AnnAGNPS) Watershed Pollution Management Model.
Ronald Bingner, USDA-ARS National Sedimentation Laboratory; Henrique G. Momm, Middle Tennessee State University; Yongping Yuan, US EPA- Office of Research and Development; Robert R. Wells, USDA-ARS National Sedimentation Laboratory
9:20 AM
SWAT Model Calibtration and Uncertainty Using SWAT-CUP.
Prasad Daggupati, Texas A&M University
9:40 AM
Break
10:00 AM
10:15 AM
Extending Apex to Model Microorganism Fate and Transport.
Yongeun Park, Gwangju Institute of Science and Technology; Yakov A. Pachepsky, USDA-ARS; Jaehak Jeong, Texas A&M AgriLife Research-Blackland Center
10:45 AM
On-Site Wastewater Treatment Systems Effect on Watershed Nitrogen Load: SWAT Model Predictions.
David E. Radcliffe, University of Georgia-Athens; Nahal Hoghooghi, University of Georgia-Athens
11:00 AM
11:15 AM
11:45 AM
Discussion