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地下空间坍塌应急救援现场环境安全风险评价及预测

谢众智 李升连 郑惜雯 古力 张国华 倪晓阳

安全与环境工程2024,Vol.31Issue(5):51-61,11.
安全与环境工程2024,Vol.31Issue(5):51-61,11.DOI:10.13578/j.cnki.issn.1671-1556.20231087

地下空间坍塌应急救援现场环境安全风险评价及预测

Assessment and prediction of environmental safety risk at the site of emergency rescue for underground space collapse

谢众智 1李升连 2郑惜雯 1古力 3张国华 4倪晓阳1

作者信息

  • 1. 中国地质大学(武汉)工程学院,湖北 武汉 430074
  • 2. 云南建设基础设施投资股份有限公司,云南 昆明 650032
  • 3. 中国地质大学(武汉)地质探测与评估教育部重点实验室,湖北 武汉 430074
  • 4. 中国地质大学(武汉)工程学院,湖北 武汉 430074||中国地质大学(武汉)地质探测与评估教育部重点实验室,湖北 武汉 430074
  • 折叠

摘要

Abstract

To ensure the safety of emergency rescue operations and the normal functioning of equipment in un-derground space collapse incidents,and to enhance the safety assurance capabilities of emergency rescue opera-tions,it is pivotal to first establish an environmental safety risk assessment indicator system for underground space collapse emergency rescue scenes.By integrating the analytic hierarchy process(AHP)and the technique for order preference by similarity to an ideal solution(TOPSIS)method,the safety status of the on-site environ-ment can be evaluated.Subsequently,combining the autoregressive moving average(ARMA)and exponential smoothing models,the future safety status of the site environment within a certain period can be forecasted.Ul-timately,the assessment and prediction models are applied to a rescue case in a coal mine drilling site,with recommendations and improvements proposed for the rescue operation.The research results can provide data and a decision-making basis for the safety protection system and the configuration of ventilation facilities on the emergency rescue sites of underground spaces.

关键词

地下空间坍塌/应急救援现场/安全风险评价/预测预警/层次分析法/理想点法/自回归移动平均

Key words

underground space collapse/emergency rescue site/safety risk assessment/predictive early warning/analytic hierarchy process(AHP)/technique for order preference by similarity to an ideal solution(TOPSIS)/au-toregressive moving average(ARMA)

分类

资源环境

引用本文复制引用

谢众智,李升连,郑惜雯,古力,张国华,倪晓阳..地下空间坍塌应急救援现场环境安全风险评价及预测[J].安全与环境工程,2024,31(5):51-61,11.

基金项目

国家重点研发计划项目(2022YFC3005904-4) (2022YFC3005904-4)

安全与环境工程

OA北大核心CSTPCD

1671-1556

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