H43A:
Large-Scale Watershed Modeling and Data Uncertainty on Hydrologic and Water Quality Processes II Posters

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Session ID#: 12406

Session Description:
In recent years, large-scale watershed modeling has been widely implemented in the field of water resources and environmental subjects. Engineering projects are developed and conducted based on simulated hydrologic, sediment, and nutrient processes. While most modeling efforts were performed by the assumption of deterministic approaches, it has been shown that model predictions could be substantially alternated by the associated uncertainty sources such as forcing inputs, algorithm parameters, model structure, and measured data from calibration/validation. In this session, watershed modeling and the associated uncertainty sources will be discussed to explore broader insights for advanced applications and also to provide potential benefits for decision making processes in the future.
Primary Convener:  Haw Yen, Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, Temple, TX 76502, USA, Blackland Research and Extension Center, College Station, United States
Conveners:  Daren Harmel, USDA-ARS, Grassland, Soil and Water Research Laboratory, Temple, TX, United States, Michael J White, USDA-ARS, Grassland, Soil and Water Research Laboratory, Temple, United States and Jeffrey G Arnold, USDA-ARS, Temple, United States
Chairs:  Haw Yen, Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, Temple, TX 76502, USA, Blackland Research and Extension Center, College Station, United States and Daren Harmel, USDA-ARS, Grassland, Soil and Water Research Laboratory, Temple, TX, United States
OSPA Liaison:  Haw Yen, Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, Temple, TX 76502, USA, Blackland Research and Extension Center, College Station, United States
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1879 Watershed [HYDROLOGY]

Abstracts Submitted to this Session:

Assessing Hydrological Uncertainties Using the SWAT Model to Simulate Streamflow Over the Alpine Himalayas (120038)
Brijesh Kumar1, Venkataraman Lakshmi2 and Kanhu Charan Patra1, (1)National Institute of Technology Rourkela, Rourkela, India, (2)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
An Improved Method for Interpretation of Concentration-Discharge Relationships in Riverine Water-Quality Data (120322)
Dr. Qian Zhang, Qian Zhang, University of Maryland Center for Environmental Science / U.S. Environmental Protection Agency Chesapeake Bay Program, Annapolis, United States; Johns Hopkins University, Baltimore, United States, Ciaran J Harman, Johns Hopkins University, Department of Geography and Environmental Engineering, Baltimore, MD, United States and William P Ball, Johns Hopkins University, Geography and Environmental Engineering, Baltimore, MD, United States; Chesapeake Research Consortium, Edgewater, MD, United States
Ensemble Modeling of Suspended Sediment in Steep Mountain Catchments (132678)
Jenna Stewart1, William James Raseman1, Joseph R Kasprzyk1 and Ben Livneh2,3, (1)University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering, Boulder, CO, United States, (2)University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States, (3)University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering, Boulder, United States
QUANTIFYING THE UNCERTAINTY IN STREAMFLOW PREDICTIONS USING SWAT FOR BRAZOS–COLORADO COASTAL WATERSHED, TEXAS (133511)
Debayan Mandal1, Nikhil Bhatia2 and Roshan K Srivastav1, (1)VIT University, Vellore, India, (2)Texas A&M University College Station, College Station, TX, United States
Hydrologic simulation and runoff components analysis over a cold mountainous area in Southwest China with TRMM 3B4V7 (137543)
Weidong Xuan, Zhejiang University, Hangzhou, China
Using a Data-Driven Approach to Understand the Interaction between Catchment Characteristics and Water Quality Responses (138242)
Andrew William Western1, Anna Lintern2, Shuci Liu1, Dongryeol Ryu1, J Angus Webb3, Paul Leahy4, Paul Wilson5, David Waters6, Ulrike Bende-Michl7 and Malcolm Watson7, (1)University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, (2)Monash University, Department of Civil Engineering, Clayton, VIC, Australia, (3)University of Melbourne, Department of Infrastructure Engineering, Parkville, Australia, (4)Applied Sciences Group, EPA Victoria, Macleod, Australia, (5)Department of Environment of Environment, Land, Water & Planning, East Melbourne, VIC, Australia, (6)Queensland Department of Natural Resources, Mines and Energy, Toowoomba, Australia, (7)Bureau of Meteorology, Parkes, ACT, Australia
Assessing Potential Land Suitability for Surface Irrigation using Groundwater in Ethiopia (140964)
Abeyou Wale Worqlul1, Jaehak Jeong2, Javier Osorio3, Thomas Gerik1, Dile Yihun3, Raghavan Srinivan3 and Neville Clark4, (1)Blackland Research Center, Texas A&M AgriLife Research, Temple, TX, United States, (2)Texas A&M University AgriLife Research, Temple, United States, (3)Texas A & M University, College Station, TX, United States, (4)The Norman Borlaug Institute for International Agriculture, College Station, TX, United States
Soil water transmission under rain infiltration on a steep, unchanneled hillslope (145881)
Ssu-Yao Yang, NCKU National Cheng Kung University, Tainan, Taiwan and Chyan-Deng Jan, NCKU National Cheng Kung University, Hydraulic and Ocean Engineering, Tainan, Taiwan
Characteristics of Non-point Source Pollution Loss under the Influence of Watershed Hydrology in the Southern Subtropical Zone of China (146946)
Wei Ouyang1, Fanghua Hao2, Chunye Lin1, Yandan Shi2, Xueting Xu2 and Jiaqi Cao2, (1)Beijing Normal University, School of Environment, State Key Laboratory of Water Environment Simulation, Beijing, China, (2)Beijing Normal University, Beijing, China
Estimation of 137Cs load with consideration of uncertainty at Kuchibuto River basin (147780)
Kiyoto Naito1, Takeo Onishi1, Kimihito Nakamura2, Tetsuo Yasutaka3 and Susumu Miyazu4, (1)Gifu University, Gifu, Japan, (2)Kyoto University, Graduate school of Agriculture, Kyoto, Japan, (3)National Institute of Advanced Industrial Science and Technology (AIST), Institute for Geo-Resources and Environment, Geological Survey of Japan, Tsukuba, Japan, (4)NARO National Agriculture and Food Research Organization, Ibaraki, Japan
Large-scale Watershed Modeling: NHDPlus Resolution with Achievable Conservation Scenarios in the Western Lake Erie Basin (165055)
Haw Yen1, Michael J White2, Jeffrey G Arnold3, Steven C Keitzer4, Mari-Vaughn V. Johnson5, Jay D Atwood6, Prasad Daggupati7, Matthew E Herbert8, Scott P Sowa8, Stuart Ludsin9, Dale M Robertson10, Raghavan Srinivasan11 and Charles A Rewa12, (1)Blackland Research and Extension Center, Texas A&M Agrilife Research, Texas A&M University, Temple, TX 76502, USA, Blackland Research and Extension Center, College Station, United States, (2)USDA-ARS, Grassland, Soil and Water Research Laboratory, Temple, United States, (3)USDA-ARS, Temple, United States, (4)Ohio State University Main Campus, Columbus, United States, (5)USDA-NRCS, Resources Assessment Division, Temple, TX, United States, (6)USDA-NRCS, Temple, TX, United States, (7)Texas A & M University, College Station, TX, United States, (8)The Nature Conservancy, Lansing, MI, United States, (9)Ohio State University Main Campus, Columbus, OH, United States, (10)USGS Upper Midwest Water Science Center, Middleton, WI, United States, (11)Texas A&M University, Director of Spatial Sciences Laboratory, Agrilife Research, College Station, United States, (12)USDA-NRCS, Beltsville, MD, United States
The hydrologic implications of alternative prioritizations of landscape-scale geographically isolated wetlands conservation (177060)
Grey Rogers Evenson, US EPA Office of Research and Development, Cincinnati, United States, Heather E Golden, US Environmental Protection Agency, Office of Applied Science & Environmental Solutions, Cincinnati, United States, Charles R. Lane, Environmental Protection Agency Cincinnati, Cincinnati, OH, United States, Daniel L Mclaughlin, Virginia Polytechnic Institute and State University, Forest Resources and Environmental Conservation, Blacksburg, United States and Ellen D'Amico, Pegasus Technical Services, Cincinnati, OH, United States
Estimation of future flow regime for a spatially varied Himalayan watershed using improved multi-site calibration method of SWAT model. (185163)
Soni M Pradhanang, University of Rhode Island, Narragansett, RI, United States, M. Alfi Hasan, University of Rhode Island, Kingston, United States, Pamela Booth, University of Rhode Island, Kingston, RI, United States and Othman Fallatah, University of Rhode Island, Civil and Environmental Engineering, Kingston, RI, United States

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