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Volume 41 Issue 1
Jan.  2023
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Article Contents
CHEN Wenting, SU Jing, ZHANG Huihui, ZHENG Mingxia, XI Beidou. MULTI-ATTRIBUTE DECISION-MAKING METHOD OPTIMIZATION AND SCHEME EVALUATION OF WATER ENVIRONMENTAL CARRYING CAPACITY IN THE BAIYANGDIAN LAKE BASIN[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(1): 120-131. doi: 10.13205/j.hjgc.202301015
Citation: CHEN Wenting, SU Jing, ZHANG Huihui, ZHENG Mingxia, XI Beidou. MULTI-ATTRIBUTE DECISION-MAKING METHOD OPTIMIZATION AND SCHEME EVALUATION OF WATER ENVIRONMENTAL CARRYING CAPACITY IN THE BAIYANGDIAN LAKE BASIN[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(1): 120-131. doi: 10.13205/j.hjgc.202301015

MULTI-ATTRIBUTE DECISION-MAKING METHOD OPTIMIZATION AND SCHEME EVALUATION OF WATER ENVIRONMENTAL CARRYING CAPACITY IN THE BAIYANGDIAN LAKE BASIN

doi: 10.13205/j.hjgc.202301015
  • Received Date: 2022-05-08
    Available Online: 2023-03-23
  • In order to solve the multi-attribute complex decision-making problems of water environmental carrying capacity in the Baiyangdian Lake Basin, a five-dimensional complex property decision-making index evaluation system based on population, economy, water ecology, water resources and water pollution was proposed in this study (includes 28 indicators). The ideal point method based on the new dominance relationship (TOPSIS), vlse kriterijumska optimizacija I kompromisno resenje method (VIKOR) and improved osculating value method was applied to the optimization of the multi-attribute decision-making method and scheme selection of the water environmental carrying capacity in the Baiyangdian Lake Basin. The results showed that:1) the variation coefficient attribute weighting method realized the quantification of multi-level and complex factors affecting water environmental carrying capacity, and we found that the main factors affecting the water environmental carrying capacity of the Baiyangdian Lake Basin were the amount of groundwater resources, the proportion of paper making and paper products industry, the proportion of textile industry, and the amount of water transferred into the lake. 2) Among the three multi-attribute decision-making methods, the improved osculating value method was simpler in calculation and theory, so it was the optimal decision method. It could not only deal with the multifaceted complex properties such as economic, social, environmental and technical standards involved in the decision-making of water environmental carrying capacity management, but also better realize the evaluation and optimization of multi-attribute decision-making scheme of water environmental carrying capacity. 3) The consistency of scheme ranking results of the three methods reached 83.3%, indicating that the optimal scheme was the ideal type scheme (F12), the sub-optimal scheme was the sustainable type scheme (F11), and the worst scheme was the low-speed economic development scheme (F2). Considering the actual situation of the Baiyangdian Lake Basin, the scale of the primary and secondary industries can be appropriately reduced in 2030. Tertiary industries such as high-end, high-tech industries and service industries should be vigorously developed, and the eco-tourism should be appropriately developed. In addition, it was essential to upgrade or close down industries with high water consumption and heavy pollution such as textiles, paper making and paper products within a specified period of time, increase the amount of water diverted from other regions, and implement stricter water environmental protection measures such as raising the standard of sewage treatment plant's effluent to level Ⅳ of GB 3838-2002 Environmental Quality Standards for Surface Water when necessary, in order to achieve the purpose of improving the environment, which can provide a basis for managers to make efficient decisions.
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