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Comparison of Land Use Area Estimates from Three Different Data Sources for the Upper Mississippi River Basin 31
Chinnisamy, Santhi; Gassman, Philip W.; Secchi, Silvia; Srinivasan, Raghavan.
This study presents the results of comparing land use estimates between three different data sets for the Upper Mississippi River Basin (UMRB). The comparisons were performed between the U.S. Department of Agriculture (USDA) Natural Resource Conservation Service (NRCS) National Resource Inventory (NRI), the U.S. Geological Survey (USGS) National Land Cover Data (NLCD) database, and a combined USDA National Agricultural Statistics Service (NASS) Agricultural Census – NLCD dataset created to support applications of the Hydrologic Unit Model for the U.S. (HUMUS). The comparison was performed for 1992 versions of the datasets because that was the only consistent year available among all three data sources. The results show that differences in land use area...
Tipo: Report Palavras-chave: Agricultural land; Cropland; HUMUS; Land use area estimates; NLCD; Non-agricultural land; NRI; UMRB; Water quality modeling.; Land Economics/Use; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.
Ano: 2008 URL: http://purl.umn.edu/6332
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Assessment of a SWAT model for soil and water management in India 31
Kaur, Ravinder; Srinivasan, Raghavan; Mishra, Kamal; Dutta, D.; Prasad, Durga; Bansal, Gagan.
The potential of a Spatial Decision Support System (SDSS) for estimating water and sediment yields was assessed in a large (92.46 km2) experimental catchment in the Damodar-Barakar basin. The SDSS is based on a SWAT model and was operated under prevailing resource management conditions. Application of the proposed SDSS predicted average water and sediment yields of 383.37 mm yr-1 and 21.28 t ha-1 yr-1 were predicted as against actual observations of 390.69 mm yr-1 and 25.35 t ha-1 yr-1 for the validation periods 1981-1983; 1985-1989 and 1991. Simulations of the annual dynamics of total water and sediment yields showed good to moderately good correlation coefficients of 0.83 and 0.65; model efficiency coefficients of 0.54 and 0.70; mean relative errors of...
Tipo: Journal Article Palavras-chave: Resource /Energy Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/47873
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