首页|灰水足迹研究进展与方法学改进

灰水足迹研究进展与方法学改进

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灰水足迹是水足迹的重要组成部分,定义为稀释污染物所需的水量。灰水足迹作为水污染的体积量化指标,已得到国际学术界广泛应用。然而,由于底层数据缺乏和方法体系限制,灰水足迹研究尚无法为实践管理提供有效支持。本文剖析了灰水足迹评价的必要性及相关概念内涵,从灰水足迹核算方法及适用范围、演化机制、基于灰水足迹的虚拟水流动路径解析等方面综述其研究进展。在此基础上,分析当前灰水足迹核算方法的局限性并提出改进思路。同时,为实现灰水足迹深度应用,进一步阐述未来研究的重点方向,包括构建高时空分辨率灰水足迹数据库、基于实体—虚拟灰水耦合流动格局推动生态补偿机制和推进灰水足迹标签制度以消费侧选择引导生产侧绿色转型。
Critical Review and Methodological Improvements of Grey Water Footprint
Grey water footprint(GWF)is an important part of the water footprint.It is defined as the amount of water required to dilute pollutants.GWF is a valuable indicator that describes water pollution from the perspective of freshwater volume and has been widely studied by international academic communities.However,due to the lack of data and the limitation of the methodology system,GWF research cannot provide effective support for practical management.This study highlights the necessity of GWF assessment and related concepts,and reviews its latest achievements in the fields of GWF accounting method,application scope,evolution mechanism,and virtual water analysis based on the GWF.On this basis,the limitations of the current GWF calculation method and the improvement ideas are put forward.Meanwhile,in order to realize the deep application of GWF,this study discusses issues deserving further exploration and proposes research directions for GWF,including the improvement of the accuracy of GWF accounting method,the construction of high spatio-temporal resolution GWF database,the promotion of ecological compensation mechanism based on the pattern of physical-virtual grey water flows,and the promotion of GWF labeling system to guide the green transformation of production side through consumption side selection.

grey water footprintwater footprintwater pollutionmethodological improvementdeep application

李慧、郑王睿、刘耕源

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北京师范大学环境学院,环境模拟与污染控制国家重点联合实验室,北京 100875

广东工业大学,大湾区城市环境安全与绿色发展教育部重点实验室,广东广州 510006

北京市流域环境生态修复与综合调控工程技术研究中心,北京 100875

灰水足迹 水足迹 水污染 方法学改进 深度应用

国家自然科学基金项目国家自然科学基金项目国家重点实验室专项课题大湾区城市环境安全与绿色发展教育部重点实验室(广东工业大学)专项经费

720040355207002122Z02ESPCW

2024

中国环境管理
国家环境保护环境发展中心 环境保护部信息中心

中国环境管理

CHSSCD
影响因子:0.506
ISSN:1674-6252
年,卷(期):2024.16(1)
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