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首页> 外文期刊>Journal of Geographic Information System >Integrated Approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Loss Risk Assessment in Upper South Koel Basin, Jharkhand
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Integrated Approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Loss Risk Assessment in Upper South Koel Basin, Jharkhand

机译:贾坎德邦上南科尔地区的通用土壤流失方程(USLE)和地理信息系统(GIS)的综合方法,用于土壤流失风险评估

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Soil erosion is a growing problem especially in areas of agricultural activity where soil erosion not only leads to decreased agricultural productivity but also reduces water availability. Universal Soil Loss Equation (USLE) is the most popular empirically based model used globally for erosion prediction and control. Remote sensing and GIS techniques have become valuable tools specially when assessing erosion at larger scales due to the amount of data needed and the greater area coverage. The present study area is a part of Chotanagpur plateau with undulating topography, with a very high risk of soil erosion. In the present study an attempt has been made to assess the annual soil loss in Upper South Koel basin using Universal Soil Loss Equation (USLE) in GIS framework. Such information can be of immense help in identifying priority areas for implementation of erosion control measures. The soil erosion rate was determined as a function of land topography, soil texture, land use/land cover, rainfall erosivity, and crop management and practice in the watershed using the Universal Soil Loss Equation (for Indian conditions), remote sensing imagery, and GIS techniques. The rainfall erosivity R-factor of USLE was found as 546 MJ mm/ha/hr/yr and the soil erodibility K-factor varied from 0.23 - 0.37. Slopes in the catchment varied between 0% and 42% having LS factor values ranging from 0 - 21. The C factor was computed from NDVI (Normalized Difference Vegetative Index) values derived from Landsat-TM data. The P value was computed from existing cropping patterns in the catchment. The annual soil loss estimated in the watershed using USLE is 12.2 ton/ha/yr.
机译:土壤侵蚀是一个日益严重的问题,特别是在农业活动地区,土壤侵蚀不仅会导致农业生产力下降,而且会减少水的可利用性。通用水土流失方程(USLE)是全球基于经验最流行的侵蚀预测和控制模型。遥感和GIS技术已成为有价值的工具,特别是在由于需要大量数据和更大的面积覆盖范围而在大规模评估侵蚀时。目前的研究区域是Chotanagpur高原的一部分,地形起伏很大,水土流失的风险很高。在本研究中,已尝试使用GIS框架中的通用土壤流失方程(USLE)来评估南南Koel盆地的年度土壤流失。这些信息对于确定实施侵蚀控制措施的优先领域可能有极大帮助。使用通用土壤流失方程(针对印度条件),遥感影像和水土流失率,根据土壤地形,土壤质地,土地利用/土地覆盖,降雨侵蚀力以及流域中的作物管理和实践来确定GIS技术。 USLE的降雨侵蚀力R因子为546 MJ mm / ha / hr / yr,土壤侵蚀性K因子在0.23-0.37之间变化。流域内的坡度在0 %到42 %之间变化,其LS因子值介于0到21之间。C因子是根据Landsat-TM数据得出的NDVI(归一化植被指数)值计算得出的。 P值是根据流域现有的种植方式计算得出的。根据USLE估算,该流域的年土壤流失量为12.2吨/公顷/年。

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