School of Environment, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China.
School of Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, 150030, China.
Environ Sci Pollut Res Int. 2020 May;27(15):17949-17962. doi: 10.1007/s11356-020-08331-0. Epub 2020 Mar 12.
It is critical for emergency material preparedness in the pre-accident phase to provide location-allocation planning and improve rescue capacity in an effective emergency response time due to increasing frequency of river chemical spills. In this study, an effective two-stage evaluation and selection framework is developed integrating fuzzy multi-criteria decision-making (MCDM) method and multi-objective optimization model to obtain the optimal emergency material location-allocation (EMLA) scheme for coping with river chemical spills. In the evaluation stage, the emergency material warehouse alternatives are evaluated by a fuzzy TOPSIS method based on environmental risk assessment. In the selection stage, the EMLA optimization scheme is identified by a multi-objective optimization model to allocate emergency materials for all the risk sources in a time-effective manner. The two-stage evaluation and selection framework is then applied in Jiangsu province, China. The EMLA optimization scheme finally selects the best five emergency material warehouses (WZ1, WZ 4, WZ 5, WZ 18, and WZ 25) for Jiangsu province with the relative closeness 0.6014, 0.4676, 0.5179, 0.3360, and 0.2935, respectively. The EMLA results demonstrate that the developed framework could obtain EMLA optimization scheme with the objective of minimum emergency rescue points and maximum integrative rescue abilities and provide all the risk resources emergency materials in a quick response for river chemical spills in the pre-accident phase.
在事故前阶段，对于应急物资准备工作来说，由于河流化学泄漏的频率不断增加，提供位置-分配规划并在有效的应急响应时间内提高救援能力至关重要。在这项研究中，开发了一个有效的两阶段评估和选择框架，该框架集成了模糊多准则决策（MCDM）方法和多目标优化模型，以获得应对河流化学泄漏的最佳应急物资位置-分配（EMLA）方案。在评估阶段，通过基于环境风险评估的模糊 TOPSIS 方法对应急物资仓库备选方案进行评估。在选择阶段，通过多目标优化模型确定 EMLA 优化方案，以便在有效的时间内为所有风险源分配应急物资。然后，将两阶段评估和选择框架应用于中国江苏省。最终，EMLA 优化方案选择了江苏省五个最佳的应急物资仓库（WZ1、WZ4、WZ5、WZ18 和 WZ25），相对接近度分别为 0.6014、0.4676、0.5179、0.3360 和 0.2935。EMLA 结果表明，所开发的框架可以获得 EMLA 优化方案，其目标是最小的应急救援点和最大的综合救援能力，并为事故前阶段的河流化学泄漏提供所有风险资源的应急物资快速响应。
