跳到主要导航 跳到搜索 跳到主要内容

Mapping multiple water pollutants across China using the grey water footprint

  • Haoyuan Feng
  • , Fengyun Sun*
  • , Yaoyi Liu
  • , Peng Zeng
  • , Lingzhi Deng
  • , Yue Che
  • *此作品的通讯作者
  • East China Normal University
  • Institute of Eco-Chongming (IEC)

科研成果: 期刊稿件文章同行评审

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 (NH3-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.

源语言英语
文章编号147255
期刊Science of the Total Environment
785
DOI
出版状态已出版 - 1 9月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 6 - 清洁饮水和卫生设施
    可持续发展目标 6 清洁饮水和卫生设施

指纹

探究 'Mapping multiple water pollutants across China using the grey water footprint' 的科研主题。它们共同构成独一无二的指纹。

引用此