Tailings storage facilities in China: Historical failure incidents, existing status, and database-driven quantitative risk assessment

IF 4.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY International journal of disaster risk reduction Pub Date : 2024-11-01 DOI:10.1016/j.ijdrr.2024.104973
Chenxu Su , Nahyan M. Rana , Stephen G. Evans , Bijiao Wang , Shuai Zhang
{"title":"Tailings storage facilities in China: Historical failure incidents, existing status, and database-driven quantitative risk assessment","authors":"Chenxu Su ,&nbsp;Nahyan M. Rana ,&nbsp;Stephen G. Evans ,&nbsp;Bijiao Wang ,&nbsp;Shuai Zhang","doi":"10.1016/j.ijdrr.2024.104973","DOIUrl":null,"url":null,"abstract":"<div><div>Tailings storage facility (TSF) failures in China have historically resulted in downstream consequences, including fatalities, economic harm, and environmental contamination. However, the nation-wide documentation on existing TSFs is incomplete, and the magnitude-frequency statistics of the failures are poorly quantified. These gaps have impeded ongoing efforts of risk assessment and mitigation. This study collates and analyzes new databases on historical TSF failures and existing TSFs in China. We report 143 TSF failures in China over the period 1957–2023, which exceeds the number (∼20) reported in previous studies. Magnitude-frequency statistics indicate that the mean return period for TSF failures in China with at least 10 fatalities is ∼5 years, while for those with released volumes &gt;1 million m<sup>3</sup> is ∼16 years. Our review confirms that there are at least 14,217 existing TSFs in China; therefore, the cumulative failure rate of TSFs in China is estimated to be ∼1 %. We supply a database of 1853 TSFs that lists the statistics such as storage volume and dam height. Using these datasets along with downstream demographic statistics, we undertake a regional risk assessment for Jilin Province, which identifies 11 TSFs with intolerable risks. Among these, the most critical TSF poses a potential loss of 175 lives. Our findings provide the most comprehensive picture of TSFs in China to date. We anticipate that this study will advance tailings disclosure practices in China and support screening-level risk assessments by provincial regulators to help prioritize community engagement and risk mitigation efforts.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104973"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420924007350","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Tailings storage facility (TSF) failures in China have historically resulted in downstream consequences, including fatalities, economic harm, and environmental contamination. However, the nation-wide documentation on existing TSFs is incomplete, and the magnitude-frequency statistics of the failures are poorly quantified. These gaps have impeded ongoing efforts of risk assessment and mitigation. This study collates and analyzes new databases on historical TSF failures and existing TSFs in China. We report 143 TSF failures in China over the period 1957–2023, which exceeds the number (∼20) reported in previous studies. Magnitude-frequency statistics indicate that the mean return period for TSF failures in China with at least 10 fatalities is ∼5 years, while for those with released volumes >1 million m3 is ∼16 years. Our review confirms that there are at least 14,217 existing TSFs in China; therefore, the cumulative failure rate of TSFs in China is estimated to be ∼1 %. We supply a database of 1853 TSFs that lists the statistics such as storage volume and dam height. Using these datasets along with downstream demographic statistics, we undertake a regional risk assessment for Jilin Province, which identifies 11 TSFs with intolerable risks. Among these, the most critical TSF poses a potential loss of 175 lives. Our findings provide the most comprehensive picture of TSFs in China to date. We anticipate that this study will advance tailings disclosure practices in China and support screening-level risk assessments by provincial regulators to help prioritize community engagement and risk mitigation efforts.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国的尾矿库:历史故障事件、现状和数据库驱动的定量风险评估
中国的尾矿库(TSF)故障历来会造成下游后果,包括人员伤亡、经济损失和环境污染。然而,全国范围内有关现有尾矿库的文献资料并不完整,对故障的严重程度和频率统计也不够量化。这些差距阻碍了当前的风险评估和缓解工作。本研究整理并分析了有关中国历史上 TSF 故障和现有 TSF 的新数据库。我们报告了 1957-2023 年间中国发生的 143 起 TSF 故障,超过了以往研究报告的数量(20 起)。震级-频率统计表明,中国至少造成 10 人死亡的 TSF 故障的平均重现期为 5 年,而释放量达 100 万立方米的 TSF 故障的平均重现期为 16 年。我们的研究证实,中国现有的 TSF 至少有 14,217 个,因此,中国 TSF 的累计故障率估计为 1%。我们提供了一个包含 1853 座水电站的数据库,其中列出了蓄水量和坝高等统计数据。利用这些数据集和下游人口统计数据,我们对吉林省进行了区域风险评估,确定了 11 个存在不可容忍风险的水电站。其中,最严重的 TSF 可能会导致 175 人丧生。我们的研究结果提供了迄今为止中国 TSF 最全面的情况。我们预计这项研究将推动中国的尾矿披露实践,并支持省级监管机构进行筛选级风险评估,以帮助确定社区参与和风险缓解工作的优先次序。
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 去求助
来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
期刊最新文献
Assessment of tangible coastal inundation damage related to critical infrastructure and buildings: The case of Mauritius Island Geospatial analysis of alarmingly increasing flood vulnerability and disaster risk within the northeast himalaya region of India Cues facilitating collective sensemaking during emergencies: Gaps, inconsistencies, and indicators Spatiotemporal evolution and influencing factors of flood resilience in Beibu Gulf Urban Agglomeration Urban flood hazard insights from multiple perspectives based on internet of things sensor data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1