Rainfall threshold for landslide awareness – Focusing on the case study in the landslide EVO pilot area region in western Nepal

IF 0.7 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

MAUSAM Pub Date : 2024-03-24 DOI:10.54302/mausam.v75i2.6058

J. Bhusal, J. L. Nayava, S. Baidya, Bikash Nepal, Wouter Buytaert, Bhanu Neupane

{"title":"Rainfall threshold for landslide awareness – Focusing on the case study in the landslide EVO pilot area region in western Nepal","authors":"J. Bhusal, J. L. Nayava, S. Baidya, Bikash Nepal, Wouter Buytaert, Bhanu Neupane","doi":"10.54302/mausam.v75i2.6058","DOIUrl":null,"url":null,"abstract":"Nepal’s rugged topography, unstable young geological formations, and fragile rocks make the country highly vulnerable to water-induced hazards such as landslides, soil erosion, and debris torrents. Hilly watersheds and settlements in hills and river banks are naturally vulnerable during heavy rainfall. The landslide EVO project selected two landslide areas, one the Bajedi landslides in the Bajura district, and another Sunkuda landslides in Bajhang district of Nepal. Automatic rain gauges were installed, and data were recorded for 2019 and 2021. The best-fit trend lines are determined by the observed rainfall depths of different durations. In addition, 24-hour rainfall records and landslide events that occurred in the region outside the pilot areas in the year 2019 were also analyzed and correlated. Rainfall intensities and depths corresponding to maximum, minimum, and average depth are correlated for different durations. The correlation between rainfall depths and durations data showed an excellent fitting observed. The trend line is considered as the rainfall threshold line for landslide risk assessment for the region.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MAUSAM","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.54302/mausam.v75i2.6058","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Nepal’s rugged topography, unstable young geological formations, and fragile rocks make the country highly vulnerable to water-induced hazards such as landslides, soil erosion, and debris torrents. Hilly watersheds and settlements in hills and river banks are naturally vulnerable during heavy rainfall. The landslide EVO project selected two landslide areas, one the Bajedi landslides in the Bajura district, and another Sunkuda landslides in Bajhang district of Nepal. Automatic rain gauges were installed, and data were recorded for 2019 and 2021. The best-fit trend lines are determined by the observed rainfall depths of different durations. In addition, 24-hour rainfall records and landslide events that occurred in the region outside the pilot areas in the year 2019 were also analyzed and correlated. Rainfall intensities and depths corresponding to maximum, minimum, and average depth are correlated for different durations. The correlation between rainfall depths and durations data showed an excellent fitting observed. The trend line is considered as the rainfall threshold line for landslide risk assessment for the region.

查看原文本刊更多论文

提高对山体滑坡认识的降雨阈值--以尼泊尔西部山体滑坡 EVO 试点地区的案例研究为重点

尼泊尔的地形崎岖不平，年轻地质构造不稳定，岩石脆弱，因此极易受到山体滑坡、水土流失和泥石流等水灾的影响。在暴雨期间，丘陵流域以及位于山丘和河岸的居民点自然容易受到影响。山体滑坡 EVO 项目选择了两个山体滑坡地区，一个是巴朱拉县的 Bajedi 山体滑坡，另一个是尼泊尔巴章县的 Sunkuda 山体滑坡。安装了自动雨量计，并记录了 2019 年和 2021 年的数据。根据观测到的不同持续时间的降雨深度确定了最佳拟合趋势线。此外，还对 2019 年试点地区以外区域的 24 小时降雨记录和滑坡事件进行了分析和关联。不同持续时间的降雨强度与最大、最小和平均深度相对应。降雨深度和持续时间数据之间的相关性显示出极好的拟合效果。该趋势线被视为该地区滑坡风险评估的降雨阈值线。

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分钟内获得全文求助全文

来源期刊

MAUSAM 地学-气象与大气科学

CiteScore

1.20

自引率

0.00%

发文量

1298

审稿时长

6-12 weeks

期刊介绍： MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.