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| Web URL(s): | http://elibrary.asabe.org/azdez.asp?JID=3&AID=24056&CID=aeaj2007&v=23&i=6&T=2&redirType=
Last checked: 10/03/2013
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| Publication Type:
| Refereed |
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| Author(s): | Butler, G. B.;
Srivastava, P. |
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| Author Affiliation: | Butler: Graduate Research Assistant; Srivastava: Assistant Professor, Biosystems Engineering Department, Auburn University, Auburn, Alabama |
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| Title: | An Alabama BMP database for evaluating water quality impacts of alternative management practices |
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| Section: | Soil and water
Other records with the "Soil and water" Section
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| Source: | Applied Engineering in Agriculture. Vol. 23, No. 6, 2007, p. 727-736. |
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| Publishing Information: | St. Joseph, MI: American Society of Agricultural Engineers |
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| # of Pages: | 10 |
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| Related Web URL: | http://elibrary.asabe.org/abstract.asp?aid=24056&t=3&dabs=Y&redir=&redirType=
Last checked: 10/03/2013
Notes: Abstract only |
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| Keywords: | TIC Keywords: Best management practices; Databases; Environmental stewardship; Evaluative methods; GIS; Information resources; Nonpoint source pollution; Pollution by agriculture; Pollution control; Site-specific management; State agencies; Total maximum daily load; Water management; Water quality; Water resources; Watershed management
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| Geographic Terms: | Alabama |
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| Abstract/Contents: | "Best management practices (BMPs) are often used to control nonpoint source (NPS) pollutants from agricultural, forested, and urban watersheds. NPS models are used to estimate pollutant loads, devise NPS abatements plans, and develop and implement Total Maximum Daily Load (TMDL) plans. Accuracy of NPS model predictions depends on, among other things, the accuracy of input data, which includes accurate description of BMPs. Although detailed BMP description can be obtained by using extension manuals and talking to experts, a comprehensive BMP database for use by watershed modelers and water resource managers are usually unavailable. In the absence of regionally appropriate BMP database, simplified assumptions are often used. This practice can introduce input data uncertainty in models, which can lead to poor model predictability and mistrust in models. To alleviate this problem, a comprehensive database of commonly used agricultural and forestry BMPs in Alabama was devoloped. Using this database, various NPS pollution abatement measures can be evaluated using the SWAT (Soil and Water Assessment Tool) or other distributed parameter, continuous simulation NPS model. Specific objectives were: (1) to devolop a database of commonly used BMPs in agriculture and forestry for the State of Alabama and (2) to create an ArcView ®3.X GIS (Geographic Information System) extension to load the database into the SWAT model. The complete database containing hundreds of BMPs and supporting documents are available at http://www.eng.auburn.edu/user/srivapu. The database provides environmental professionals with detailed information on management of agricultural and forested lands. This type of detailed information is currently unavailable in Alabama and many other states. Using the BMP database with the SWAT model, environmental professionals will be able to evaluate the site-specific effectiveness of BMPs and conduct more accurate assessments of NPS pollutant loads, TMDLs, pollutant trading, and BMP implementation plans. Overall, this will allow environmental professionals to make more confident BMP recommendations and manage watersheds more effectively. Additionally, the methodology presented can be used by other states to develop region-specific BMP databases." |
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| Language: | English |
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| References: | 24 |
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| Note: | Figures
Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Butler, G. B., and P. Srivastava. 2007. An Alabama BMP database for evaluating water quality impacts of alternative management practices. Appl. Eng. Agric. 23(6):p. 727-736. |
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| Web URL(s):
http://elibrary.asabe.org/azdez.asp?JID=3&AID=24056&CID=aeaj2007&v=23&i=6&T=2&redirType=
Last checked: 10/03/2013
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: b3269147 |
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