基于灾害系统理论的尾矿库溃坝致因与风险防控研究OA
Research on causes and risk prevention of tailings dam failures based on disaster system theory
选用灾害系统理论重构尾矿库溃坝认知框架,整合孕灾环境、承灾体及致灾因子,基于全球近60年内40多起典型尾矿库溃坝事故,揭示关键致灾因子即洪水漫顶、地震灾害、坝体失稳以及渗透破坏产生的影响,并指出尾矿库溃坝的多因子协同致灾和系统动态耦合的系统学本质.运用灾害系统理论进行升维剖析,构建尾矿库溃坝安全监测—灾害预警—应急处置三级风险防控体系.研究结果表明:实现时空全域覆盖的多源感知是监测体系升级的核心路径,智能诊断和实时互馈是预警范式跨越的关键突破,多维响应应急系统与闭环韧性优化是应急处置效能提升的核心保障.
Disaster systems theory was employed to reconstruct the dam failure cognitive framework,three core elements,i.e.,the disaster-incubating environment,the disaster-bearing entity and the disaster-inducing factors were integrated.By analyzing over 40 typical tailings dam failures globally within the past 60 years,key disaster-inducing factors including flood overtopping,seismic events,dam body instability and seepage failure were identified.The systemic nature of tailings dam failure was highlighted by multi-factor synergistic disaster induction and dynamic system coupling.Furthermore,disaster system theory for dimensional analysis was applied,a three-tier risk prevention system for tailings dam failure including safety monitoring,disaster warning and emergency response was constructed.The results show that spatiotemporal coverage through multi-source sensing is the core path for upgrading the monitoring system,intelligient diagnosis and real-time feedback are key breakthroughs for advancing the warning paradigm,and a multidimensional response emergency system coupled with closed-loop resilience optimization is the core guarantees for enhancing emergency response effectiveness.
周子龙;王子裕;王又武;谢睿;游玉佩;高靖遥
中南大学资源与安全工程学院,湖南 长沙,410083||中南大学尾矿库灾害防控技术与装备国家矿山安全监察局重点实验室,湖南 长沙,410083中南大学资源与安全工程学院,湖南 长沙,410083||中南大学尾矿库灾害防控技术与装备国家矿山安全监察局重点实验室,湖南 长沙,410083中冶长天国际工程有限责任公司,湖南 长沙,410205中南大学资源与安全工程学院,湖南 长沙,410083||中南大学尾矿库灾害防控技术与装备国家矿山安全监察局重点实验室,湖南 长沙,410083中南大学高等研究中心,湖南 长沙,410083中南大学资源与安全工程学院,湖南 长沙,410083||中南大学尾矿库灾害防控技术与装备国家矿山安全监察局重点实验室,湖南 长沙,410083
资源环境
尾矿库溃坝灾害系统致灾因子风险防控
tailings ponddam failuredisaster systemsdisaster-causing factorsrisk prevention and control
《中南大学学报(自然科学版)》 2026 (7)
3132-3147,16
国家自然科学基金资助项目(52334003)云天化科技项目(YTH-4080-WB-FW-2025-027841-00)(Project(52334003)supported by the National Natural Science Foundation of ChinaProject(YTH-4080-WB-FW-2025-027841-00)supported by the Technology Project of Yunnan Yuntianhua Co.Ltd.)
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