灰水足迹研究进展与方法学改进

Critical Review and Methodological Improvements of Grey Water Footprint

中文关键词:  灰水足迹  水足迹  水污染  方法学改进  深度应用

英文关键词:grey water footprint  water footprint  water pollution  methodological improvement  deep application

中文摘要:

      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。

英文摘要:

      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.