GIS-Based Landslide Susceptibility Zonation Mapping Using the Weighted Information Model in Erlang Mountain - Zheduo Mountain Power Transmission Project, China

IF 1.4 4区环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES Polish Journal of Environmental Studies Pub Date : 2023-11-23 DOI:10.15244/pjoes/172024

Rongquan Fan, Xianping Zhou, Feng Tian, Yang Tang, Lihao Yin, Jun Xiang

{"title":"GIS-Based Landslide Susceptibility Zonation Mapping Using the Weighted Information Model in Erlang Mountain - Zheduo Mountain Power Transmission Project, China","authors":"Rongquan Fan, Xianping Zhou, Feng Tian, Yang Tang, Lihao Yin, Jun Xiang","doi":"10.15244/pjoes/172024","DOIUrl":null,"url":null,"abstract":"The power transmission and transformation projects in the western region are facing the threat of frequent seismic activities, landslides and other geological disasters. Evaluation of the landslide susceptibility in power transmission projects has important theoretical and practical significance for the selection of power transmission channels and station sites, landslide monitoring and prevention in western mountainous areas. This paper takes the Erlang Mountain-Zheduo Mountain power transmission as the research area, based on the study of characteristics of landslide, evaluation factors are selected from aspects such as meteorology, hydrology, topography, rock and soil types; a weighted information model was established by using Pearson correlation coefficient method, CRITIC weight method, and independence weight coefficient method. Based on ArcGIS technology and weighted information model, the landslide susceptibility of Erlang Mountain-Zheduo Mountain Power Transmission Project is evaluated. The ROC curves and AUC value were used to verify the effect of weighted information model, and its AUC value is 0.866, indicating that HPIV model has a good prediction effect on landslide disasters.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"140 ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish Journal of Environmental Studies","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.15244/pjoes/172024","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

The power transmission and transformation projects in the western region are facing the threat of frequent seismic activities, landslides and other geological disasters. Evaluation of the landslide susceptibility in power transmission projects has important theoretical and practical significance for the selection of power transmission channels and station sites, landslide monitoring and prevention in western mountainous areas. This paper takes the Erlang Mountain-Zheduo Mountain power transmission as the research area, based on the study of characteristics of landslide, evaluation factors are selected from aspects such as meteorology, hydrology, topography, rock and soil types; a weighted information model was established by using Pearson correlation coefficient method, CRITIC weight method, and independence weight coefficient method. Based on ArcGIS technology and weighted information model, the landslide susceptibility of Erlang Mountain-Zheduo Mountain Power Transmission Project is evaluated. The ROC curves and AUC value were used to verify the effect of weighted information model, and its AUC value is 0.866, indicating that HPIV model has a good prediction effect on landslide disasters.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

利用加权信息模型绘制基于 GIS 的中国二郎山-浙多山输变电工程滑坡易发区划图

西部地区输变电工程面临着地震活动频繁、滑坡等地质灾害的威胁。输变电工程滑坡易发性评价对西部山区输电通道和站址选择、滑坡监测和防治具有重要的理论和实践意义。本文以二郎山-折多山输变电为研究区域，在研究滑坡特征的基础上，从气象、水文、地形、岩土类型等方面选取评价因子，采用皮尔逊相关系数法、CRITIC权重法和独立性权重系数法建立了加权信息模型。基于 ArcGIS 技术和加权信息模型，对二郎山-折多山输变电工程的滑坡易感性进行了评价。利用 ROC 曲线和 AUC 值验证了加权信息模型的效果，其 AUC 值为 0.866，表明 HPIV 模型对滑坡灾害具有较好的预测效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Polish Journal of Environmental Studies 环境科学-环境科学

CiteScore

3.10

自引率

11.10%

发文量

430

审稿时长

4 months

期刊介绍： One of the most important challenges facing the contemporary scientific world are problems connected with environmental protection. Intensive development of industry and agriculture has led to a rise in living standards on one hand, but an increase in environmental degradation on the other. This degradation poses a direct threat to human health and life. Solving these ever-increasing problems which seriously endanger our civilization require the united efforts of scientists and field researchers of many branches. The "Polish Journal of Environmental Studies" publishes original papers and critical reviews on the following subjects: -Basic and applied environmental pollution research, including environmental engineering -Pollution control of atmospheric, water (marine and fresh), soil and biological materials -Determination of harmful substances, including their metabolic breakdown patterns -Analytical methods for metabolic breakdown patterns or other chemical degradation patterns in the environment and in biological samples -Development of new analytical methods, instruments and techniques for controlling pollutants -Circulation of pollutants in the environment and their effect on living organisms -Environmentally oriented catalysis -Hazards to human health and safety -Waste utilization and management -Land reclamation -Conference reports, scientific and technical reports and book reviews