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| Web URL(s): | http://www.jswconline.org/content/57/6/351.full.pdf+html
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Last checked: 08/13/2013
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Access conditions: Item is within a limited-access website |
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| Publication Type:
| Professional |
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| Author(s): | Bhuyan, Samar J.;
Marzen, Luke J.;
Koelliker, James K.;
Harrington, John A. Jr.;
Barnes, Philip L. |
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| Author Affiliation: | Bhuyan: Hydrologist, Arizona Department of Environmental Quality, Phoenix, Arizona; Marzen: Assistant Professor, Geography Department, Auburn University, Auburn, Alabama; Koelliker: Professor, Biological and Agricultural Engineering Department, Kansas State University, Manhattan, Kansas; Harrington: Professor, Geography Department, Kansas State University, Manhattan, Kansas; and Barnes: Assistant Professor, Biological and Agricultural Engineering Department, Kansas State University, Manhattan, Kansas |
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| Title: | Assessment of runoff and sediment yield using remote sensing, GIS, and AGNPS |
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| Section: | Research
Other records with the "Research" Section
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| Source: | Journal of Soil and Water Conservation. Vol. 57, No. 6, November/December 2002, p. 351-364. |
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| Publishing Information: | Ankeny, IA: Soil and Water Conservation Society |
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| # of Pages: | 14 |
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| Related Web URL: | http://www.jswconline.org/content/57/6/351.abstract
Last checked: 08/13/2013
Notes: Abstract only |
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| Keywords: | TIC Keywords: GIS; Surface runoff; Sediment pollution; Assessment; Analytical methods; Models; Watersheds; Research equipment
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| Abstract/Contents: | "A model that can predict runoff and soil loss from a watershed is an important tool that can be used for planning and for watershed assessment and management. An application that combined that capabilities of remote sensing, Geographic Information Systems (GIS), and the Agricultural NonPoint Source Pollution (AGNPS) model was used to assess runoff and sediment yield from various sub-watersheds above Cheney Reservoir in Kansas. Remotely sensed Landsat thematic mapper (TM) images were used to obtain land cover and associated AGNPS model input parameters, including the Universal Soil Loss Equation's (USLE) cropping factors (C-factor), based on estimates of vegetative cover for rangeland and crop residue. Several input parameters of the AGNPS model were extracted from GIS layers using the AGNPS-ARC/INFO interface. C-factors and curve numbers (CNs) of agricultural crops were adjusted on the basis of management practices and hydrologic conditions of the watershed during various runoff events. Surface-water quantity and quality data, including total suspended solids (TSS) for major runoff events, were obtained from United States Geological Survey (USGS) gaging stations in the watershed and were used for evaluation of this AGNPS modeling process. Baseflow separation was done so that measured runoff and TSS levels could be compared directly with the AGNPS model output. Use of remote sensing along with GIS reduced the time to obtain input for the modeling process and added to the confidence in the representation of watershed conditions. The modeling process was effective for small watersheds (up to 145 sq km [56 sq mi]) with adequate available rainfall data. However, for larger watersheds with substantial variations of rainfall, this process was less satisfactory." |
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| Language: | English |
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| References: | 49 |
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| Note: | Includes map, p. 353
Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Bhuyan, S. J., L. J. Marzen, J. K. Koelliker, J. A. Jr. Harrington, and P. L. Barnes. 2002. Assessment of runoff and sediment yield using remote sensing, GIS, and AGNPS. J. Soil Water Conserv. 57(6):p. 351-364. |
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| Web URL(s):
http://www.jswconline.org/content/57/6/351.full.pdf+html
Last checked: 10/01/2008
Requires: PDF Reader
Access conditions: Item is within a limited-access website
http://www.jswconline.org/content/57/6/351.full.pdf
Last checked: 08/13/2013
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Access conditions: Item is within a limited-access website |
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MSU catalog number: S 622 .J65 |
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