基于分析层次过程 (AHP) 和地理信息系统 (GIS) 技术的印度米佐拉姆邦 Chite 流域土壤侵蚀敏感性综合绘图

Q4 Engineering Disaster Advances Pub Date : 2024-01-31 DOI:10.25303/173da025034
PC. Lalrindika, R. Zonunsanga, P. Rinawma
{"title":"基于分析层次过程 (AHP) 和地理信息系统 (GIS) 技术的印度米佐拉姆邦 Chite 流域土壤侵蚀敏感性综合绘图","authors":"PC. Lalrindika, R. Zonunsanga, P. Rinawma","doi":"10.25303/173da025034","DOIUrl":null,"url":null,"abstract":"Soil erosion is a significant form of land degradation that profoundly affects agricultural and ecosystem sustainability. The present study aimed at addressing this issue by developing precise and feasible erosion susceptibility map in Chite watershed, India, using integrated approach combining the Analytical Hierarchy Process (AHP) with Geographic Information System (GIS). To evaluate erosion susceptibility conditions, multiple causative factors including elevation, slope, drainage density, distance from streams, land use / land cover, rainfall intensity, normalized difference vegetation index, lithology, soil texture and lineament density were selected. These factors and their sub-classes were prioritized by AHP method based on their relative influence on soil erosion. Subsequently, the calculated AHP weights were utilized for generating a spatial dataset of soil erosion susceptibility through GIS technology. Accuracy assessment by the area under the ROC curve (AUC) reveals considerably acceptable results for the predicted map when compared to erosion inventory, producing an accuracy level of 0.812 (81%) and 0.922 (92%) for erosion and non-erosion points respectively. Thus, the present study manifests the efficiency of integrating the AHP and GIS techniques for erosion susceptibility mapping in the Chite watershed and this may serve as a valuable tool for sustainable land management and erosion control.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"696 15","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated Analytical Hierarchy Process (AHP) and GIS techniques based Soil Erosion Susceptibility Mapping in Chite Watershed, Mizoram, India\",\"authors\":\"PC. Lalrindika, R. Zonunsanga, P. Rinawma\",\"doi\":\"10.25303/173da025034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soil erosion is a significant form of land degradation that profoundly affects agricultural and ecosystem sustainability. The present study aimed at addressing this issue by developing precise and feasible erosion susceptibility map in Chite watershed, India, using integrated approach combining the Analytical Hierarchy Process (AHP) with Geographic Information System (GIS). To evaluate erosion susceptibility conditions, multiple causative factors including elevation, slope, drainage density, distance from streams, land use / land cover, rainfall intensity, normalized difference vegetation index, lithology, soil texture and lineament density were selected. These factors and their sub-classes were prioritized by AHP method based on their relative influence on soil erosion. Subsequently, the calculated AHP weights were utilized for generating a spatial dataset of soil erosion susceptibility through GIS technology. Accuracy assessment by the area under the ROC curve (AUC) reveals considerably acceptable results for the predicted map when compared to erosion inventory, producing an accuracy level of 0.812 (81%) and 0.922 (92%) for erosion and non-erosion points respectively. Thus, the present study manifests the efficiency of integrating the AHP and GIS techniques for erosion susceptibility mapping in the Chite watershed and this may serve as a valuable tool for sustainable land management and erosion control.\",\"PeriodicalId\":50576,\"journal\":{\"name\":\"Disaster Advances\",\"volume\":\"696 15\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disaster Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25303/173da025034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disaster Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25303/173da025034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

水土流失是土地退化的一种重要形式,严重影响农业和生态系统的可持续性。本研究旨在解决这一问题,采用分析层次法(AHP)与地理信息系统(GIS)相结合的综合方法,为印度 Chite 流域绘制精确可行的水土流失易感性地图。为了评估水土流失易感性条件,选择了多种致因因素,包括海拔、坡度、排水密度、与溪流的距离、土地利用/土地覆盖、降雨强度、归一化差异植被指数、岩性、土壤质地和线状密度。根据这些因素对水土流失的相对影响程度,采用 AHP 方法对这些因素及其子类进行了优先排序。随后,利用计算出的 AHP 权重,通过地理信息系统技术生成土壤侵蚀易感性的空间数据集。通过 ROC 曲线下面积(AUC)进行的精度评估显示,与水土流失清单相比,预测地图的结果相当可以接受,水土流失点和非水土流失点的精度水平分别为 0.812(81%)和 0.922(92%)。因此,本研究表明,将 AHP 与 GIS 技术相结合用于绘制 Chite 流域水土流失易发性地图非常有效,可作为可持续土地管理和水土流失控制的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Integrated Analytical Hierarchy Process (AHP) and GIS techniques based Soil Erosion Susceptibility Mapping in Chite Watershed, Mizoram, India
Soil erosion is a significant form of land degradation that profoundly affects agricultural and ecosystem sustainability. The present study aimed at addressing this issue by developing precise and feasible erosion susceptibility map in Chite watershed, India, using integrated approach combining the Analytical Hierarchy Process (AHP) with Geographic Information System (GIS). To evaluate erosion susceptibility conditions, multiple causative factors including elevation, slope, drainage density, distance from streams, land use / land cover, rainfall intensity, normalized difference vegetation index, lithology, soil texture and lineament density were selected. These factors and their sub-classes were prioritized by AHP method based on their relative influence on soil erosion. Subsequently, the calculated AHP weights were utilized for generating a spatial dataset of soil erosion susceptibility through GIS technology. Accuracy assessment by the area under the ROC curve (AUC) reveals considerably acceptable results for the predicted map when compared to erosion inventory, producing an accuracy level of 0.812 (81%) and 0.922 (92%) for erosion and non-erosion points respectively. Thus, the present study manifests the efficiency of integrating the AHP and GIS techniques for erosion susceptibility mapping in the Chite watershed and this may serve as a valuable tool for sustainable land management and erosion control.
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
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
期刊最新文献
Disaster Management and Landslide Risk Reduction Strategies in The Gebog Sub-District of Kudus Regency, Central Java, Indonesia Classification of Ionospheric Scintillations during high Solar Activity and Geomagnetic Storm over Visakhapatnam Region using Machine Learning Approach Remote Sensing based Early Warning Systems for Detection and Assessment of Landslides: A Case Study of Himachal Pradesh, India Improvement awareness of disaster management using virtual reality-based tsunami disaster drills Long-term Impact Assessment of Disasters through Predictive Analytics
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1