Abstract

This short communication reports on a large landslide with a movement of 2 million m3 of soil and rock that occurred on 23 July, 2019 in the village of Pingdi, located in the county of Shuicheng, Guizhou Province, China. This landslide resulted in 42 deaths and 9 missing people. This report describes the preliminary investigation, rescue effort, and possible cause. The total rainfall in the 6 days prior to the landslide was 189.1 mm, which may be held responsible as the major cause. Some recommendations are proposed to reduce human casualties and property losses.

Highlights

  • As a result of global climate change and alteration of the natural environment by human engineering activities, the frequent occurrence of geological disasters has posed an enormous threat to both property and safety of humans [1,2,3]

  • More than 1500 people were on the site to rescue victims immediately after the landslide, and more rescue teams arrived in the following days including police, mine rescue professionals, More than 1500 people were on the site to rescuefirefighters, victims immediately after the landslide, and the

  • The surface drainage all the rainfall thresholds for landslide initiation reported in a recent review at the global scale

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Summary

Introduction

As a result of global climate change and alteration of the natural environment by human engineering activities, the frequent occurrence of geological disasters has posed an enormous threat to both property and safety of humans [1,2,3]. Natural disasters resulted in 589 deaths and 46 missing people and totalled 264.46 billion Ren Min Bi (RMB) of direct economic losses [4]. Landslides, which are major geological disaster, have frequently occurred in recent years, posing a significant risk to property and safety of people [5,6,7]. The combination of spatial information processing software and statistical analysis tools significantly improves the efficiency of data acquisition, processing, and analysis, and promotes the application of the state-of-the-art methods and models in evaluating landslide risks.

Preliminary Investigation
Overview
Data Source
Rescue Effort
Rainfall
23. The totalthe rainfall in the The
Recommendations
Conclusions
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