The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems
Identifieur interne : 001219 ( Main/Merge ); précédent : 001218; suivant : 001220The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems
Auteurs : Prakash Basnyat [États-Unis] ; L. D. Teeter [États-Unis] ; B. G. Lockaby [États-Unis] ; K. M. Flynn [États-Unis]Source :
- Forest Ecology and Management [ 0378-1127 ] ; 2000.
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Abstract
Basin characteristics such as land use/land cover, slope, and soil attributes affect water quality by regulating sediment and chemical concentration. Among these characteristics, land use/land cover can be manipulated to gain improvements in water quality. These land use/land cover types can serve as nutrient detention media or as nutrient transformers as dissolved or suspended nutrients move towards the stream. This study examines a methodology to determine nitrate pollution ‘contributing zones’ within a given basin based on basin characteristics. In this process, land use/land cover types were classified and basins and ‘contributing zones’ were delineated using geographic information system (GIS) and remote sensing (RS) analysis tools. A ‘land use/land cover-nutrient-linkage-model’ was developed which suggests that forests act as a sink, and as the proportion of forest inside a contributing zone increases (or agricultural land decreases), nitrate levels downstream will decrease. In the model, the residential/urban/built-up areas have been identified as strong contributors of nitrate. Other contributors were orchards; and row crops and other agricultural activities.
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DOI: 10.1016/S0378-1127(99)00273-X
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Among these characteristics, land use/land cover can be manipulated to gain improvements in water quality. These land use/land cover types can serve as nutrient detention media or as nutrient transformers as dissolved or suspended nutrients move towards the stream. This study examines a methodology to determine nitrate pollution ‘contributing zones’ within a given basin based on basin characteristics. In this process, land use/land cover types were classified and basins and ‘contributing zones’ were delineated using geographic information system (GIS) and remote sensing (RS) analysis tools. A ‘land use/land cover-nutrient-linkage-model’ was developed which suggests that forests act as a sink, and as the proportion of forest inside a contributing zone increases (or agricultural land decreases), nitrate levels downstream will decrease. In the model, the residential/urban/built-up areas have been identified as strong contributors of nitrate. 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