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Quantitative human risk analysis of 2015 Shenzhen dump failure considering influence of urbanization

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With the rapid development of urbanization,a large amount of construction spoil was stockpiled around cities and formed extensive dumps.Construction spoil is one of the main construction and demolition (C&D) waste and municipal solid waste (MSW).Once the construction spoil dump becomes unstable,it will bring great risks to the surrounding residents.A catastrophic dump failure occurred on 20 December 2015 in Guangming New Strict,Shenzhen,China.Approximately 2.51×106 ma of construction waste slid out from the dumpsite,destroying 33 houses and causing total 77 casualties.This paper attempts to analyze the failure probability of the construction spoil dump using Monte Carlo simulation considering the spatial variability of soil properties,and to quantify the dynamic human risk considering the increasing urbanization.Influence of urbanization on the human element at risk is analyzed by referring to multi-temporal remote sensing images.A quantitative human risk assessment model is employed to determine the landslide human risk referring an assessment criteria curve between frequency of number fatalities and number of fatalities (F-N curve).It is found that the societal risk at daytime was 0.078,0.088,and 1.432 in 2002,2014,and 2015,respectively.Meanwhile,the societal risk at night was 0.034,0.037,and 0.611 in 2002,2014,and 2015,respectively.The quantitative method was benchmarked by the other landfill failure.It implies that the human risk increased with the development of urbanization and its value at daytime was approximately twice as much as at night.The new approach for the human risk assessment provides guidance for modem MSW landfills and highlights the obvious influence of urbanization on the human risk in other areas.

Construction spoilDumpsiteSlopesLandslidesStability analysisHuman risk

ZHANG Shuai、LIU Ying、BATE Bate、PENG Da-lei、LI Can、ZHAN Liang-tong

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MOE Key Laboratory of Soft Soils and Geo-Environmental Engineering,Zhejiang University,Hangzhou 310058,China

Faculty of Science and Technology,Technological and Higher Education Institute of Hong Kong,Hongkong 999077,China

Department of Civil and Environmental Engineering,The Hong Kong University of Science and Technology,Hongkong 999077,China

This study was funded by the National Key R&D Program of ChinaThis study was funded by the National Key R&D Program of ChinaYoung Scientists Fund of the National Natural Science Foundation of China (Grant No.41907243)Research Grants Council of the Hong Kong Special Administrative Region,China

2019YFC18060012018YFC1802301Project UGC/FDS25/E11/17

2021

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSTPCDCSCDSCI
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2021.18(6)
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