Main Title |
Watershed management tool for selection and spatial allocation of nonpoint source pollution control practices [electronic resource] / |
Author |
Arabi, Mazdak. ;
M. ARABI ;
R. S. GOVINDARAJU ;
M. M. Hantush
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Other Authors |
|
CORP Author |
Purdue Univ., West Lafayette, IN.; National Risk Management Research Lab., Cincinnati, OH. |
Publisher |
U.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, |
Year Published |
2007 |
Report Number |
EPA/600/R-08/036 |
Stock Number |
PB2008-109804 |
Subjects |
Water quality ;
Watershed management ;
Runoff ;
Water--Pollution
|
Additional Subjects |
Watersheds ;
Water pollution control ;
Nonpoint sources ;
Runoff ;
Sediments ;
Nutrients ;
Hydrology ;
Water quality ;
Monte Carlo method ;
Methodology ;
Simulation ;
Best management practices(BMPs)
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Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB2008-109804 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
1 online resource (xi, 91 p.) : ill., charts, digital, PDF file. |
Abstract |
Distributed-parameter watershed models are often utilized for evaluating the effectiveness of sediment and nutrient abatement strategies through the traditional (calibrate->validate->predict) approach. The applicability of the method is limited due to modeling approximations. In this study, a computational method is presented to determine the significance of modeling uncertainties in assessing the effectiveness of best management practice (BMPs) in two small watersheds in Northeastern Indiana with the Soil and Water Assessment Tool (SWAT). The uncertainty analysis aims at (1) identifying the hydrologic and water quality processes that control the fate and transport of sediments and nutrients within watersheds, and (2) establishing uncertainty bounds for model simulations as well as estimated effectiveness of BMPs. The SWAT model is integrated with a Monte-Carlo based methodology for addressing model uncertainties. The results suggested that fluvial processes within the channel network of the study watersheds control sediment yields at the outlets, and thus, BMPs that influence channel degradation or deposition are the more effective sediment control strategies. |
Notes |
"January 2007." Title from title screen (viewed on Jan. 27, 2011). Final report "EPA/600/R-08/036." Includes bibliographical references (p. 83-91). "Contract Number: 4C-R330-NAEX." |