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Identification of Heavy Metals and Organic Micropollutants in Drinking Water Sources in Typical Villages and Towns in Northeast China

  • Guangyuan Wang
  • , Jimin Shen
  • , Shengyue Wei
  • , Daxing Cai
  • , Jinde Liu*
  • *Corresponding author for this work
  • School of Environment, Harbin Institute of Technology
  • Nanyang Traditional Chinese Medicine Development Bureau
  • Heilongjiang Hydrological and Water Resources Center

Research output: Contribution to journalArticlepeer-review

Abstract

This study identified and detected the existence of major pollutants in northeast China. As an alpine region and an agricultural base, this region has representative significance in pollution research. We selected 56 samples from drinking water sources of typical villages and towns, focusing on the analysis of heavy metals and organic micropollutants in northeast China. The analysis results showed that Fe and Mn were the main metal elements exceeding the standard. The exceeding rates were 17.9% and 19.6%. Experiments showed that there were 19 kinds of pesticides, 6 kinds of OPEs, 2 kinds of PAEs, 22 kinds of PPCPs. The detection rate of these 49 kinds of organic micro-pollutants were 1.79~82.14%. The characteristics of organic pollution were extensive and varied. Many underground water samples had high level of micropollutants. The water quality parameters of drinking water sources in villages and towns showed close relation to local geological conditions and agricultural activities. Actions must be taken to control these parameters from the source of pollution.

Original languageEnglish
Article number8033
JournalMolecules
Volume27
Issue number22
DOIs
StatePublished - Nov 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • conventional water quality parameters
  • drinking water sources
  • northeast China
  • organic micropollutants
  • rural

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