Irshalwadi landslide in Western Ghats of India: Observations from precursory slope movement, rainfall and soil moisture

Natural Hazards Research Pub Date : 2024-12-01 Epub Date: 2024-01-06 DOI:10.1016/j.nhres.2024.01.004
Nirmala Jain, Priyom Roy, Punit Jalan, Tapas R. Martha, Iswar C. Das
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Abstract

The Western Ghats of India, a UNESCO world heritage site, is gradually becoming a hotspot for catastrophic landslides. On July 19, 2023, the entire Irshalwadi village in the Raigad district of Maharashtra, India, was obliterated due to a single catastrophic landslide. Of the 228 residents of the village, the landslide killed 27 people and 57 are still reported to be missing. The landslide occurred on a slope which exhibited no visual precedence of disturbance or creep. However, analysis of potential precursory movements prior to slope failure using the Persistent Scatterer Interferometry (PSI) technique reveals active movement near the base of the slope (in order of ∼12 ​mm/y). Sentinel-2 satellite imagery acquired post-event characterises the landslide as a bifurcated debris flow possibly triggered by heavy rainfall in the region. Peak cumulative rainfall, estimated by the Indian Meteorological Department (IMD), was observed in this region on 17, 18 and July 19, 2023 (∼500) mm and was the highest recorded rainfall in the region during the given period. This caused significant water percolation into the porous basaltic soil, leading to increased soil moisture, as supported by the Soil Moisture Active Passive (SMAP) data. The resultant increase in pore pressure caused the slope material to fail and eventually trigger the landslide.
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印度西高止山的 Irshalwadi 滑坡:前坡运动、降雨和土壤湿度观测结果
被联合国教科文组织列为世界遗产的印度西高止山脉正逐渐成为灾难性山体滑坡的热点地区。2023年7月19日,印度马哈拉施特拉邦莱加德地区的整个Irshalwadi村因一次灾难性的山体滑坡而被摧毁。在该村228名居民中,有27人在山体滑坡中丧生,另有57人失踪。滑坡发生在没有明显扰动或蠕变的斜坡上。然而,使用持续散射体干涉(PSI)技术分析边坡破坏之前的潜在前兆运动,揭示了边坡底部附近的主动运动(约为12毫米/年)。事后获得的Sentinel-2卫星图像显示,滑坡是一个分叉的泥石流,可能是由该地区的强降雨引发的。据印度气象部门(IMD)估计,该地区在2023年7月17日、18日和7月19日观测到峰值累积降雨量(~ 500毫米),这是该地区在给定时期有记录的最高降雨量。这导致大量的水渗透到多孔的玄武岩土壤中,导致土壤湿度增加,这得到了土壤水分主动被动(SMAP)数据的支持。由此产生的孔隙压力增加导致边坡材料破坏,最终引发滑坡。
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