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V. M. Chowdary Yatindranath S. Kar S. Adiga 《Journal of the Indian Society of Remote Sensing》2004,32(1):59-73
Assessment of the environmental impact of Non Point Source (NPS) pollutants on a global, regional and localized scale is the
key component for achieving sustainability of agriculture as well as preserving the environment. The knowledge and information
required to address the problem of assessing the impact of NPS pollutants like Nitrogen (N), Phosphorus (P), etc., on the
environment crosses several sub-disciplines like remote sensing, Geographical Information System (GIS), hydrology and soil
science. The remote sensing data, by virtue of its potential like synopticity, multi-spectral and multi-temporal capability,
computer compatibility, besides providing almost real time information, has enhanced the scope of automation of mapping dynamic
elements, such as land use/land cover, degradation profile and computing the priority categorisation of sub-watersheds. The
present study demonstrates the application of remote sensing, GIS and distributed parameter model Agricultural Non-Point Source
Pollution Model (AGNPS) in the assessment of hazardous non-point source pollution in a watershed. The ARC-INFO GIS and remote
sensing provided the input data to support modelling, while the AGNPS model predicted runoff, sediment and pollutant (N and
P) transport within a watershed. The integrated system is used to evaluate the sediment pollution in about 2700 ha Karso watershed
located in Hazaribagh area of Jharkhand State, India. The predicted values of runoff and sediment yield copared reasonably
well with the measured values. It is important to emphasize that this study is not intended to characterise, in an exhaustive
manner. Instead, the goal is to illustrate the implications and potential advantages of GIS and remote sensing based Hydrology
and Water quality (H/WQ) modelling framework. 相似文献
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