Mapping multiple water pollutants across China using the grey water footprint

被引:55
作者
Feng, Haoyuan [1 ,2 ,3 ]
Sun, Fengyun [1 ,2 ,3 ]
Liu, Yaoyi [1 ,2 ,3 ]
Zeng, Peng [1 ,2 ,3 ]
Deng, Lingzhi [1 ,2 ,3 ]
Che, Yue [1 ,2 ,3 ]
机构
[1] East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China
[2] East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai 200241, Peoples R China
[3] Inst Ecochongming IEC, Shanghai 200062, Peoples R China
基金
美国国家科学基金会;
关键词
Driving forces; Grey water footprint; Primary water pollutant; Spatiotemporal variation; GRAY WATER; ANTHROPOGENIC NITROGEN; ENVIRONMENTAL-IMPACT; POLLUTION LEVELS; FUTURE-TRENDS; RIVER-BASIN; WASTE-WATER; FRESH-WATER; DECOMPOSITION; MANAGEMENT;
D O I
10.1016/j.scitotenv.2021.147255
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The primary pollutants and pollution levels of surface water present spatial and temporal changes. This study quantified the grey water footprint (GWF) and surface water pollution level (WPL) in China from 2003 to 2018 based on four pollutants: chemical oxygen demand (COD), ammonia nitrogen (NH 3 -N), total nitrogen (TN) and total phosphorus (TP). Additionally, the spatiotemporal distribution of the primary water pollutant (PWP) and driving forces of the GWF were analyzed based on the WPLs and the logarithmic mean Divisia index (LMDI) decomposition method. The results showed that the GWF in China decreased by 13% from 2003 to 2018 and the WPL decreased from 1.11 in 2003 to 0.94 in 2018. An analysis of regional GWFs with multiple pollutants could prevent the underestimation of GWFs and WPLs caused by changes in the PWPs. The GWF spatial distribution was high in the southeast and low in the northwest, while the provinces with larger WPLs were mainly concentrated in northern China. The PWP changed from COD to TN in 2007 because of the increase in nitrogen application in China, the low TN reduction capacity of wastewater treatment plants and the improved comprehensive utilization rate of livestock and poultry manure. The driving force analysis results showed that water efficiency and technological and industrial structural effects promoted the reduced GWF. Our research conclusions and policy suggestions could provide references for reducing the GWF and improving the water quality in China. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:12
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