Grey water footprint combined with ecological network analysis for assessing regional water quality metabolism
Grey water footprint combined with ecological network analysis for assessing regional water quality metabolism
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DOI：
10.1016/j.jclepro.2015.11.009
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发表时间：
2016-01
影响因子：
11.1
通讯作者：
Bo Wu;W. Zeng;Honghan Chen;Yue Zhao
中科院分区：
文献类型：
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作者：
Bo Wu;W. Zeng;Honghan Chen;Yue Zhao
水污染是滇池流域面临的严重问题，给当地水资源的可持续利用带来了巨大压力。本研究利用灰色水足迹对区域水代谢系统涉及的各种水质变化过程进行了研究和量化。在此基础上，建立了水质代谢系统水质变化过程的生态网络模型，并进行了生态网络分析，以了解水质代谢分区的基本原理，分析水质代谢分区的重要性。这项研究为了解水质代谢系统中的水质代谢状况，确定水质恶化的原因提供了依据。描述并量化了滇池流域22个水质变化过程，构建了评价滇池流域水质代谢效应的生态网络模型。结果表明，城市生活用水污染物是影响滇池流域水代谢系统水质代谢的主要因素。城市生活用水污染源的灰水足迹权重最大，约占总权重的50%(100%)。因此，管理部门应大力控制城市居民用水产生的污染物。通过对生态网络模型各组成部分之间的互操作性分析，确定了滇池流域2006-2013年的水质代谢效应均较差(2006-2013年的互惠指数M值均小于1)。分析结果可用于解释区域水代谢系统在水质代谢方面遇到的问题。拟议的改进措施可以支持关于未来投资的决策进程，以优化污染处理和城市用水的可持续性。
Water pollution is a serious problem in Dianchi Lake Basin, which has resulted in severe pressure on the sustainable utilization of local water resources. This study investigates and quantifies the various water quality change processes involved in a regional water metabolism system by using grey water footprint. Furthermore, an ecological network model of the water quality change processes in water metabolism system is generated and an ecological network analysis is conducted to understand the underlying principles and analyze the importance of the compartments of water quality metabolism. This study provides insights into the status of water quality metabolism in water metabolism system and determines the reasons for the deteriorating water quality. It describes and quantifies 22 water quality change processes and builds the ecological network model to evaluate the metabolic effects of water quality in Dianchi Lake Basin. Results show that the pollutants from urban daily life water use are the main influencing factor on the water quality metabolism in Dianchi Lake Basin water metabolism system. The weight of the grey water footprint of the pollution source from urban daily life water use is the largest, which accounts for approximately 50% of the total weight (100%). Thus, management should exert significant effort to control pollutants from the water use of urban residents. By analyzing the interoperability between the components of the ecological network model, this study determines that all the water quality metabolic effects in Dianchi Lake Basin are poor from 2006 to 2013 (the values of mutualism indicesMfrom 2006 to 2013 are all less than 1). The analysis results can be used to interpret the problems encountered in water quality metabolism in regional water metabolism systems. The proposed improvement measures could support the decision-making process regarding future investments for the optimization of pollution treatment and the sustainability of urban water use.