Acta Geographica Sinica ›› 2011, Vol. 66 ›› Issue (10): 1332-1342.doi: 10.11821/xb201110004

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Evaluation and Optimization of Petrochemical Industrial Spatial Organization in China

LIU He1,2, JIN Fengjun1, LIU Yi1, DING Jinxue1,2, XU Xu1,2   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-01-24 Revised:2011-08-02 Online:2011-10-20 Published:2011-11-27
  • Supported by:

    Knowledge Innovation Projects of the Chinese Academy of Sciences, No.KZCXZ-YW-Q10-4; National Natural Science Foundation of China, No.40635026

Abstract: Based on current situation of China's petrochemical industry, using linear programming and ArcGIS spatial analysis, this paper optimized the spatial organization of petrochemical industry in China. (1) The paper identified main factors influencing spatial organization of petrochemical industry, and established a comprehensive evaluation index system consisting of four major categories and 11 indicators. Then the weight of each index was determined by AHP. After that, with 337 prefecture-level administrative units as basic ones, through scientific evaluation of their potential comprehensive layout coefficients, the paper selected 151 prefecture-level units as the basis for the choice of optimization site with a linear programming model. (2) Based on the 151 units, using maximum coverage model, the paper identified the optimal number and their spatial distribution in service radiuses of 100 km, 200 km and 300 km. Combined with actual distribution of China's refineries, we summarized general rules between the number of refinery layout points and objective values, and selected layout points of 52 refineries for China. (3) With ArcGIS spatial analysis tools, the paper simulated spatial effect of the 52 optimal refinery layout points for service scope and socio-economic factors respectively, and then extracted GDP and population data of each point within its service scope. Based on that, in combination with estimation of crude oil consumption intensity, the paper finally obtained optimal spatial organization results of refining capacity and ethylene production capacity in China.

Key words: petrochemical industry, spatial organization, layout optimization, maximum coverage model, comprehensive layout coefficient, spatial effect