China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (10): 213-219.doi: 10.16265/j.cnki.issn1003-3033.2025.10.1348

• Emergency technology and management • Previous Articles     Next Articles

Multi objective site selection model for emergency material storage in chemical industry park based on risk

GUAN Wenling1(), TIAN Weijia1, DONG Chengjie1, XIA Yueshuang1, LIAO Fei2   

  1. 1 School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
    2 Tianjin Jin'gang Huian Technology Co., Ltd., Tianjin 300456, China
  • Received:2025-05-15 Revised:2025-07-17 Online:2025-10-28 Published:2026-04-28

Abstract:

In order to improve the efficiency of emergency rescue and reduce accident losses in chemical industrial parks, this study comprehensively considered the risk of chemical parks and the overall risk of emergency supplies, divides the cost of emergency rescue into the cost of construction of emergency supplies reserve, storage cost and transportation cost, and established a model for selecting the site of emergency material reserve in chemical parks. The model aims to minimize the overall risk, minimize the cost of emergency rescue and optimize the coverage of the reserve to the demand point. Taking a chemical industrial park in Tianjin as an example for validation analysis, the model was solved using the NSGA-II algorithm. When constructing different numbers of emergency material storage within the chemical industrial park, the optimal solutions for the location, cost, risk, and coverage of these storage facilities were obtained. The research results show that the model converges stably within 200 generations. As the amount of emergency material storage increases, investment costs continue to rise, coverage gradually improves, risks are significantly reduced in the early stages, and stabilize in the later stages. The model can generate multiple site selection schemes, effectively addressing the challenge of balancing the “risk-cost-coverage ratio” in the site selection process for emergency material storage within chemical industrial parks. This helps decision-makers make more scientific and reasonable decisions in complex emergency material storage site selection issues based on different preferences.

Key words: risk, chemical industry park, emergency material storage, multi objectives, location models, non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)

CLC Number: