Erosion and Sediment Yield Modeling with USLE, Arc GIS and SWAT

Nagesh Madhukar Kukade
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Abstract

The economy of most of the people in India is mainly based on rain fed agriculture. The agriculture yield primarily depends on the availability of good productive soil and sufficient quantity of availability of water. In the past, in many areas both were available but recently it is observed that due to various abnormal natural processes and excessive human interference in the natural processes, the soil layer with nutrient from fertile land is getting eroded, which resulted into reduced fertility and reduced crop yield. The soil loss from the catchment directly and indirectly affects the living standard resulting into various social problems. In order to take the preventive and curative measures against this soil erosion, it is necessary to estimate the quantity of the soil eroded and the major causes for the erosion. The soil erosion for the study area is estimated with a good degree of accuracy by integrating Geographical Information System technique and Universal Soil Loss Equation (USLE) with supportive Soil and Water Assessment Tool. In USLE model the soil loss is estimated using the parameters like rainfall erosivity (R), soil erodibility (K), slope length-steepness (LS), cover management (C) and conservation practice factor (P). The average annual soil loss estimated for the study area by QSWAT technique is 72.42 ton ha-1 year-1and using arc GIS soil loss estimated is 67.87 ton ha-1 year-1. The spatial distribution of USLE parameter indicates mild and moderate risk due to soil erosion in the study area. Keywords: USLE, arc GIS 10.2.2, QSWAT, Erosion, Thematic
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基于USLE、Arc GIS和SWAT的侵蚀产沙模型
印度大多数人的经济主要依靠雨养农业。农业产量主要取决于肥沃的土壤和充足的水分。过去,在许多地区,这两种情况都是可以得到的,但最近人们发现,由于各种异常的自然过程和人类对自然过程的过度干预,肥沃土地的养分层正在被侵蚀,导致肥力下降,作物减产。流域水土流失直接或间接地影响着人们的生活水平,从而引发各种社会问题。为了采取防治水土流失的措施,有必要对水土流失的数量和主要原因进行估算。利用地理信息系统技术、通用水土流失方程(USLE)和辅助水土评价工具,对研究区土壤侵蚀进行了较为准确的估算。在USLE模型中,利用降雨侵蚀力(R)、土壤可蚀性(K)、坡长-陡度(LS)、覆盖管理(C)和保护实践因子(P)等参数估算了土壤流失量。QSWAT技术估算的研究区年平均土壤流失量为72.42 t ha-1 -1, arcgis估算的土壤流失量为67.87 t ha-1 -1。USLE参数的空间分布表明研究区存在轻度和中度土壤侵蚀风险。关键词:USLE, arcgis 10.2.2, QSWAT,侵蚀,专题
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