• 关键词：苏锡常  灰水足迹  熵值法  水敏感性行业  行业排序  全国排污许可证管理信息平台

• 基金项目：中国工程院-英国皇家工程院合作项目（No.UK-CIAPP\425）；世界自然基金会项目

• 刘艺文
• 同济大学环境科学与工程学院, 长江水环境教育部重点实验室, 上海 200092

• 王洪涛
• 1. 同济大学环境科学与工程学院, 长江水环境教育部重点实验室, 上海 200092;2. 联合国环境规划署-同济大学环境与可持续发展学院, 上海 200092

• 摘要：水敏感性行业的识别对于行业整治和水环境保护具有重要指导意义.为了识别太湖流域的水敏感性重点行业，为进一步开展行业整治提供参考，基于全国排污许可证管理信息平台提供的企业排污数据，运用灰水足迹及其熵值法改进的核算方法，对太湖流域苏州、无锡、常州（苏锡常）三市主要制造业的污染物排放数据进行分析，结果表明：①在不同方法产生的排序结果中，纺织业的水敏感性始终占据第一位；②除纺织业外，还应重点关注以下几个水敏感性行业：化学原料和化学制品制造业、金属制品业以及造纸和纸制品业；③常州的黑色金属冶炼和压延加工业是其特色行业.对比于其他文献对于太湖流域重点行业的定义，本研究的排序结果比较相近，证明了方法的有效性.

• Abstract：The identification of water-sensitive industries is of guiding significance to industrial pollution control, rehabilitation work and water environmental protection. To identify the water-sensitive industries within Taihu Basin, and to provide some reference to further pollution control and rehabilitation work, we analyzed the pollutant discharge data from National Pollution Permit Management Information Platform of various industries in Su-Xi-Chang Region of Taihu Basin via the grey water footprint and its entropy method modified version. The results reveal that:① Textile industry occupies the first position in the list of water sensitivity within the scope of Suzhou, Wuxi, Changzhou and the three cities as a whole, no matter which method is used;② In addition to the textile industry, special attention should be paid to Chemical raw materials and chemical products manufacturing industry, Metal products industry and Paper and paper products industry; ③ Ferrous metal smelting and rolling industry is a feature industry of Changzhou. The ranking results of this research are similar to that in other publications, which proves the viability of the methods used.

• Key words：Su-Xi-Chang Region  grey water footprint  entropy method  water-sensitive industry  industry ranking  National Pollution Permit Management Information Platform

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