Zoned strategy for water pollutant emissions of China based on spatial heterogeneity analysis

被引:0
作者
Yanqi Guo
Yonggui Wang
Xiaolong Chen
Shuihua Yang
机构
[1] China University of Geosciences,Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering
[2] Zhejiang Normal University,College of Geography and Environmental Sciences
[3] Beijing Tsinghua Holdings Human Settlements Environment Institute,undefined
来源
Environmental Science and Pollution Research | 2021年 / 28卷
关键词
Zone strategy; Spatial heterogeneity; Water pollutant emissions; Water environment management; China;
D O I
暂无
中图分类号
学科分类号
摘要
A zoned strategy based on the spatial heterogeneity of water pollutant emissions is helpful for water environment management. With principal component analysis and clustering analysis, 31 provincial administrative regions (not including Hong Kong, Macao, and Taiwan regions) of China with emissions of 12 kinds of water quality indicators had been categorized into 4 zone type regions. Zone type-1 is the largest emissions of heavy metals, including mining-developed provinces of Hunan and Jiangxi. Zone type-2 is constituted of economically and agriculturally developed with large COD, NH4+-N, TP, and TN emissions, including Hebei, Jiangsu and Zhejiang, Anhui, Shandong, Henan, Hubei, Guangdong, and Sichuan. Zone type-3 only contains Shanxi with massive oil and volatile phenol emissions. Zone type-4 is the other 19 provinces with small discharges of water pollutants. Zone type-4 could be divided into three subclasses which are related to the location of these areas. With these cluster zones, the targeted water pollutant emissions strategy has been put forward in the paper. These methods and ideas of this paper can be further applied to the analysis of spatial and temporal differentiation of pollutant discharges in basins. With the zoning regions, more concrete water pollution prevention and control strategies can be set at a national level.
引用
收藏
页码:763 / 774
页数:11
相关论文
共 178 条
  • [1] Ahmed I(2009)Groundwater flow modelling of Yamuna-Krishni interstream, a part of central Ganga Plain Uttar Pradesh J Earth Syst Sci 118 507-523
  • [2] Umar R(2016)Trends analysis of quantitative and qualitative changes in groundwater with considering the autocorrelation coefficients in west of Lake Urmia, Iran Environ Earth Sci 75 371-379
  • [3] Amirataee B(2012)Agricultural non-point source pollution in China: causes and mitigation measures Ambio J Hum Environ 41 370-980
  • [4] Zeinalzadeh K(2012)Modeling urban eco-environment control through zoning Appl Mech Mater 182–183 975-1107
  • [5] Bo S(2012)Assessment and zoning of eco-environmental sensitivity for a typical developing province in China Stoch Environ Res Risk Assess 26 1095-662
  • [6] Zhang L(2013)Spatial and industrial distribution pattern of heavy metals emission in industrial waste water China Environ Sci 33 655-4973
  • [7] Yang L(2005)New real-time technique to measure the size distribution of water-insoluble aerosols Environ Sci Technol 39 4967-1233
  • [8] Chang H(2016)Deep challenges for China’s war on water pollution Environ Pollut 218 1222-816
  • [9] Tung X(2000)Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis Water Res 34 807-1657
  • [10] Dai Z(2019)Multivariate analyses and human health assessments of heavy metals for surface water quality in the Xiangjiang River Basin, China Environ Toxicol Chem 38 1645-5375