基于USLE、Arc GIS和SWAT的侵蚀产沙模型

Nagesh Madhukar Kukade
{"title":"基于USLE、Arc GIS和SWAT的侵蚀产沙模型","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":"{\"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}","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

摘要

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
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Erosion and Sediment Yield Modeling with USLE, Arc GIS and SWAT
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
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信