Gray water footprint evaluation of arsenic in Central China: from the perspective of health risk theory

Environ Monit Assess. 2022 Oct 17;194(12):901. doi: 10.1007/s10661-022-10621-8.

Abstract

Central China is one of the areas with the most serious arsenic (As) pollution in the world. However, the local controlling standards of arsenic are not unique, and its toxicities to humans have gender differences, which brings challenges to gray water footprint (GWF) evaluation. The GWF model is improved on the basis of health risk theory to address the abovementioned problems. According to the gender differences in health parameters, the assessment is further divided into male and female GWFs (i.e., GWF (As-M) and GWF (As-F), respectively). The results show that (1) the average annual GWF (As-M) and GWF (As-F) values in Central China from 2011 to 2015 are 97.27 and 105.11 billion m3, respectively. Hunan Province accounts for about 77% of the total GWF (As-M) and GWF (As-F) in Central China (2). The carcinogenic hazard of arsenic load in Hunan Province is the most serious among the three provinces in central China. The water pollution levels of arsenic for male and female in Hunan Province are 0.917 and 0.843 in 2011, both of which belong to the "high" grade. The carcinogenic hazards of arsenic loads in Hubei Province and Jiangxi Province are the second and third highest in Central China (3). For the females, the average daily dose to arsenic is about 1.03 times larger than the male's, and the female carcinogenic risk of arsenic is higher than that of males. Therefore, women are the main protection group of arsenic pollution in Central China (4). The decrease in the GWF (As-M) and GWF (As-F) risk factors in Central China is primarily caused by the closure of Shimen realgar mine in Hunan Province. The leaching of historical slag is a key source to be controlled to further improve water safety of Central China.

Keywords: Arsenic; Central China; Gray water footprint; Health risk.

MeSH terms

  • Arsenic* / analysis
  • China
  • Environmental Monitoring
  • Female
  • Humans
  • Male
  • Water
  • Water Pollution / analysis

Substances

  • Water
  • Arsenic