{"title":"Landslide Hazard Assessment and Distribution Mapping: A Case from Triveni Rural Municipality, Nepal","authors":"Tej Raj Oli","doi":"10.54536/ajgt.v1i1.468","DOIUrl":null,"url":null,"abstract":"An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 & 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Data used to construct the landslide distribution map and hazard assessments were obtained from the direct field, and mapping using GIS. More data sources and verifications were made from the rural municipality, published articles and journals, topographical and geological maps, google images and aerial photographs and other digital sources. To determine the factors and classes influencing land sliding, the layers of topographic factors derived from a digital elevation model, geology, and land use/land covers were analyzed and the results were used for landslide distribution mapping and hazard analyses. From the landslide inventory of more than 200 landslides that were occurred during the last five years since 2015, the landslide distribution map, landslide-size distribution map and hazard level of sliding graphics were presented. Hazard map of the study area shows 4.34% area lies in the high hazard level, 53.64% on moderate hazard level and 42.02% in low hazard level in the study area. The results would give insights to the landslide distribution in the area that could support rural municipality for shaping disaster risk reduction policies and strategies.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Geospatial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54536/ajgt.v1i1.468","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
An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 & 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Data used to construct the landslide distribution map and hazard assessments were obtained from the direct field, and mapping using GIS. More data sources and verifications were made from the rural municipality, published articles and journals, topographical and geological maps, google images and aerial photographs and other digital sources. To determine the factors and classes influencing land sliding, the layers of topographic factors derived from a digital elevation model, geology, and land use/land covers were analyzed and the results were used for landslide distribution mapping and hazard analyses. From the landslide inventory of more than 200 landslides that were occurred during the last five years since 2015, the landslide distribution map, landslide-size distribution map and hazard level of sliding graphics were presented. Hazard map of the study area shows 4.34% area lies in the high hazard level, 53.64% on moderate hazard level and 42.02% in low hazard level in the study area. The results would give insights to the landslide distribution in the area that could support rural municipality for shaping disaster risk reduction policies and strategies.
利用多元统计分析、制图和灾害图评估等方法,将GIS应用于滑坡灾害评估,对降低灾害风险至关重要。山体滑坡是指大量岩石、泥土或人工填充物迅速向下移动到斜坡上。该研究是在Rukum West区的Khara of Triveni农村自治市进行的,它涵盖了位于尼泊尔卡纳利省的农村自治市的三个区(3,4和5),总面积约33.52平方公里,该地区处于高速公路建设活动的压力之下。构建滑坡分布图和灾害评价的数据来源于直接现场,并利用GIS进行制图。从农村自治市、发表的文章和期刊、地形图和地质图、谷歌图像和航空照片以及其他数字来源获得更多的数据来源和核实。为了确定影响土地滑动的因素和类别,从数字高程模型、地质和土地利用/土地覆盖中得出的地形因子层进行了分析,并将结果用于滑坡分布制图和危害分析。根据2015年以来近5年发生的200多起滑坡的清查结果,给出了滑坡分布图、滑坡规模分布图和滑坡危险性等级图。研究区危险度图显示,4.34%的区域处于高危险度,53.64%的区域处于中等危险度,42.02%的区域处于低危险度。研究结果将有助于了解该地区的滑坡分布情况,为农村市政当局制定减灾政策和战略提供支持。