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    量质耦合下产业水足迹及用水综合效用测度

    Water Footprint and Comprehensive Utility Measurement Under the Coupling of Quantity and Quality

    • 摘要: 针对产业结构和用水结构不匹配、产业用水研究中忽略用水关联性和对水质影响考虑不足的问题,构建量质耦合下的产业用水综合效用测度方法来优选产业结构调整中的重点部门.采用投入产出法和作物生长模拟模型对各产业部门水足迹进行核算,构建基于蓝灰水足迹的双阶段网络超效率松弛值测算模型(SBM,Network Slacks-Based Measure),测定各部门在水足迹视角下生产-治理综合效用值,并采用改进虚拟消去法明确水资源在部门间的流动关联关系.将上述方法应用到国家中心城市郑州市,得到郑州市发展的优、劣、中产业群.研究结果表明,郑州市优势产业群由商业等5个第三产业和金属冶炼及制品等3个第二产业部门构成,该产业群的生产-治理综合效用值为0.866,远高于整体的0.578,以8.7%的蓝水和14.0%的灰水足迹,带动了郑州51.4%的增加值.以期相关成果为区域以水定产实施和产业用水配置提供依据.

       

      Abstract: To solve the problem of mismatch between industrial structure and water use structure,neglecting the correlation of water use and insufficient consideration of the impact on water quality,a comprehensive utility measurement method for industrial water use based on quantity and quality was proposed.The input-output method and crop growth simulation model were used to calculate water footprint of industrial sectors,a two-stage network super-efficiency Slacks-Based Measure model based on blue and gray water footprint was built to measure the comprehensive utility value of production-governance,the improved Hypothetical Extraction Method was adopted to clarify the flow correlation between water resources in different sectors.The above method was applied to Zhengzhou,the inferior,inferior and middle industrial clusters for Zhengzhou’s growth were derived.The results show the advantageous industrial cluster of Zhengzhou is composed of five tertiary industries,including commerce,and three secondary industries,including metal smelting and goods.For this cluster,the production-governance comprehensive utility value is 0.866,higher than the overall value of 0.578.It accounts for 51.4% of Zhengzhou’s value-added growth,with an 8.7% blue water and 14.0% gray water footprint.The results can be used to execute regional water-based production and allocate industrial water.

       

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