The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems

被引:92
作者
Basnyat, P [1 ]
Teeter, LD [1 ]
Lockaby, BG [1 ]
Flynn, KM [1 ]
机构
[1] Auburn Univ, Sch Forestry, Auburn, AL 36849 USA
基金
美国海洋和大气管理局;
关键词
water quality; GIS; nitrate; forested buffers;
D O I
10.1016/S0378-1127(99)00273-X
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
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. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:65 / 73
页数:9
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