{"title":"Erosion and Sediment Yield Modeling with USLE, Arc GIS and SWAT","authors":"Nagesh Madhukar Kukade","doi":"10.37591/.V11I1.812","DOIUrl":null,"url":null,"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","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"175 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Remote Sensing & GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37591/.V11I1.812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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