中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (7): 1-6.doi: 10.16265/j.cnki.issn1003-3033.2017.07.001

• 安全科学技术基础学科 •    下一篇

尾矿库生命周期溃坝风险演化研究

张媛媛1 讲师, 杨凯2,3   

  1. 1 山东工商学院 管理科学与工程学院,山东 烟台 264005;
    2 北京石油化工学院 安全工程学院,北京 102617;
    3 北京市安全生产科学技术研究院,北京 102617
  • 收稿日期:2017-04-05 修回日期:2017-06-09 发布日期:2020-11-26
  • 作者简介:张媛媛 (1979—), 女, 山东汶上人, 博士, 讲师, 主要从事安全管理、风险管理、火灾事故分析等方面的研究。E-mail:191725799@qq.com。
  • 基金资助:
    国家自然科学基金资助(51474151);山东省自然科学基金资助(ZR2014GQ015,ZR2012GM003);山东工商学院博士启动基金资助(BS201710)。

Research on evolution of risk of tailings dam-break in lifecycle

ZHANG Yuanyuan1, YANG Kai2,3   

  1. 1 School of Management Science and Engineering, Shandong Technology and Business University, Yantai Shandong 264006, China;
    2 School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China;
    3 Beijing Institute of Safety Engineering Technology, Beijing 102617, China
  • Received:2017-04-05 Revised:2017-06-09 Published:2020-11-26

摘要: 为研究尾矿库溃坝风险的演化过程,有效预防溃坝事故,从生命周期视角,运用系统动力学(SD)理论建立尾矿库勘察设计、建造以及运行阶段的溃坝风险流图;结合尾矿库案例进行应用分析,揭示该尾矿库生命周期溃坝风险的动态演化特征;并探讨企业风险预警值、风险投入方案对尾矿库溃坝风险水平的影响。研究表明:随着时间的推移,尾矿库总体溃坝风险不断增加;勘察设计阶段,风险量在第40~55个月之间线性增长,风险速率变化曲线呈抛物线型;建造阶段,溃坝风险量出现台阶式的增长;运行阶段溃坝风险量波浪式上升,并在第60月达到最大值;企业风险预警值的改变对尾矿库溃坝风险水平预测有显著影响;勘察设计阶段增加风险管理投入,有助于降低和控制尾矿库溃坝风险。

关键词: 尾矿库, 生命周期, 溃坝风险, 风险演化, 系统动力学(SD)

Abstract: To study the evolution of dam collapse risk and prevent dam failure effectively, a dam collapse risk flow chart was establishes for the life cycle including survey design, construction and operation phases. On the basis of a certain tailings dam for ardealite tailings, the risk flow chart was used to reveal the dynamic evolution characteristics of life-cycle dam-break risk. Effects a given enterprise risk early-warning value and a given risk investment scheme can have on the dam-break risk were also investigated. Results show that the risk of the overall dam collapse increases over time, that at the stage of survey design, the risk increases linearly between 40 and 55 months, and the risk rate changes parabolically, that the dam-break risk increases step-by-step at construction stage, while during the operation phase, the risk of dam-break rises wave upon wave and reaches the maximum at the 60th month, that the corporate risk warning value has a significant impact on the risk prediction of dam, and that the increase in risk investment at the survey design stage is helpful to reduce and control the dam risk.

Key words: tailings dam, life cycle, tailings dam-break risk, risk evolution, system dynamics(SD)

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