INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY
: This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sens...
Ausführliche Beschreibung
Autor*in: |
He, Chansheng [verfasserIn] Riggs, James F [verfasserIn] Kang, Yung-Tsung [verfasserIn] |
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E-Artikel |
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Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 1993 |
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Umfang: |
Online-Ressource |
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Reproduktion: |
2007 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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Übergeordnetes Werk: |
In: Journal of the American Water Resources Association - American Water Resources Association ; GKD-ID: 11654, Middleburg VA : Assoc., 1967, 29(1993), 6, Seite 0 |
Übergeordnetes Werk: |
volume:29 ; year:1993 ; number:6 ; pages:0 |
Links: |
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DOI / URN: |
10.1111/j.1752-1688.1993.tb03249.x |
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10.1111/j.1752-1688.1993.tb03249.x doi (DE-627)NLEJ240790855 DE-627 ger DE-627 rakwb He, Chansheng verfasserin aut INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY Oxford, UK Blackwell Publishing Ltd 1993 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| agricultural non-point source pollution Riggs, James F verfasserin aut Kang, Yung-Tsung verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 29(1993), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:29 year:1993 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.1993.tb03249.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 29 1993 6 0 |
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10.1111/j.1752-1688.1993.tb03249.x doi (DE-627)NLEJ240790855 DE-627 ger DE-627 rakwb He, Chansheng verfasserin aut INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY Oxford, UK Blackwell Publishing Ltd 1993 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| agricultural non-point source pollution Riggs, James F verfasserin aut Kang, Yung-Tsung verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 29(1993), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:29 year:1993 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.1993.tb03249.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 29 1993 6 0 |
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10.1111/j.1752-1688.1993.tb03249.x doi (DE-627)NLEJ240790855 DE-627 ger DE-627 rakwb He, Chansheng verfasserin aut INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY Oxford, UK Blackwell Publishing Ltd 1993 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| agricultural non-point source pollution Riggs, James F verfasserin aut Kang, Yung-Tsung verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 29(1993), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:29 year:1993 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.1993.tb03249.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 29 1993 6 0 |
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10.1111/j.1752-1688.1993.tb03249.x doi (DE-627)NLEJ240790855 DE-627 ger DE-627 rakwb He, Chansheng verfasserin aut INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY Oxford, UK Blackwell Publishing Ltd 1993 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| agricultural non-point source pollution Riggs, James F verfasserin aut Kang, Yung-Tsung verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 29(1993), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:29 year:1993 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.1993.tb03249.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 29 1993 6 0 |
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10.1111/j.1752-1688.1993.tb03249.x doi (DE-627)NLEJ240790855 DE-627 ger DE-627 rakwb He, Chansheng verfasserin aut INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY Oxford, UK Blackwell Publishing Ltd 1993 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| agricultural non-point source pollution Riggs, James F verfasserin aut Kang, Yung-Tsung verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 29(1993), 6, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:29 year:1993 number:6 pages:0 http://dx.doi.org/10.1111/j.1752-1688.1993.tb03249.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 29 1993 6 0 |
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INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY agricultural non-point source pollution |
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INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY |
abstract |
: This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. |
abstractGer |
: This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. |
abstract_unstemmed |
: This study integrates an Agricultural Non-Point Source Pollution Model (AGNPS), the Geographic Resource Analysis Support System (GRASS) (U.S. Army Corps of Engineers, 1987), and GRASS WATERWORKS (a hydrologic modeling tool box being developed at the Michigan State University Center for Remote Sensing) to evaluate the impact of agricultural runoff on water quality in the Cass River, a subwatershed of Saginaw Bay. AGNPS is used to estimate the amounts, origin, and distribution of sediment, nitrogen (N), and phosphorus (P) in the watershed. GRASS and GRASS WATERWORKS are used to generate parameters needed for AGNPS from digital maps, which include soil association, land use, watershed boundaries, water features, and digital elevation. Outputs of the model include spatially distributed estimates of volume and peak runoff, overland and channel erosion, sediment yields, and concentrations of nitrogen and phosphorus. Management scenarios are explored in the AGNPS model to minimize sedimentation and nutrient loading. Scenarios evaluated include variations in crop cover, tillage methods, and other agricultural management practices. In addition, areas vulnerable to erosion are identified for best management practices. |
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title_short |
INTEGRATION OF GEOGRAPHIC INFORMATION SYSTEMS AND A COMPUTER MODEL TO EVALUATE IMPACTS OF AGRICULTURAL RUNOFF ON WATER QUALITY |
url |
http://dx.doi.org/10.1111/j.1752-1688.1993.tb03249.x |
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author2 |
Riggs, James F Kang, Yung-Tsung |
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doi_str |
10.1111/j.1752-1688.1993.tb03249.x |
up_date |
2024-07-06T10:52:33.636Z |
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