PMID- 32166691 OWN - NLM STAT- MEDLINE DCOM- 20200710 LR - 20200710 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 27 IP - 15 DP - 2020 May TI - Emergency material location-allocation planning using a risk-based integration methodology for river chemical spills. PG - 17949-17962 LID - 10.1007/s11356-020-08331-0 [doi] AB - 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. FAU - Liu, Jie AU - Liu J AD - School of Environment, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China. AD - School of Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, 150030, China. FAU - Jiang, Dexun AU - Jiang D AD - School of Information Engineering, Harbin University, Harbin, 150086, China. FAU - Guo, Liang AU - Guo L AD - School of Environment, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China. FAU - Nan, Jun AU - Nan J AD - School of Environment, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China. FAU - Cao, Wukui AU - Cao W AD - School of Environment, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China. FAU - Wang, Peng AU - Wang P AD - School of Environment, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China. pwang73@hit.edu.cn. LA - eng GR - 51779066/National Natural Science Foundation of China/ GR - 2018M631935/China Postdoctoral Science Foundation/ GR - HUDF2017102/Youth Doctoral Scientific Research Staring Foundation of Harbin University/ PT - Journal Article DEP - 20200312 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 SB - IM MH - China MH - Emergencies MH - Emergency Service, Hospital MH - Fuzzy Logic MH - Humans MH - *Models, Theoretical MH - *Rivers OTO - NOTNLM OT - Emergency environmental management OT - Emergency material location-allocation OT - Environmental risk assessment OT - Fuzzy TOPSIS OT - Multi-objective optimization EDAT- 2020/03/14 06:00 MHDA- 2020/07/11 06:00 CRDT- 2020/03/14 06:00 PHST- 2019/06/17 00:00 [received] PHST- 2020/03/05 00:00 [accepted] PHST- 2020/03/14 06:00 [pubmed] PHST- 2020/07/11 06:00 [medline] PHST- 2020/03/14 06:00 [entrez] AID - 10.1007/s11356-020-08331-0 [pii] AID - 10.1007/s11356-020-08331-0 [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2020 May;27(15):17949-17962. doi: 10.1007/s11356-020-08331-0. Epub 2020 Mar 12.