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The concentration of environmental estrogens in surface water in China: a systematic review, meta-analysis and health risk assessments

  • Minhao Wang
  • , Hongran Ding
  • , Ting Tong
  • , Lei Han*
  • *Corresponding author for this work
  • Xi'an Jiaotong-Liverpool University
  • Southern University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Environmental estrogens (EEs) have been recognized as emerging organic pollutants in surface waters, posing significant ecological and human health risks. Following the PRISMA guidelines, we conducted a systematic review and meta-analysis of EEs (estrone (E1), 17β-estradiol (E2), estriol (E3) and 17α-ethinylestradiol (EE2)) in Chinese surface water, synthesizing English and Chinese literature. The meta-analysis estimated the concentrations (ng/L) of each EE in water as follows: E1 = 4.48 (95% CI: 2.15, 6.81), E2 = 5.76 (95% CI: 1.34, 10.17), E3 = 7.72 (95% CI: 2.88, 12.57), and EE2 = 6.11 (95% CI: 1.44, 10.78). Spatial patterns showed higher levels in eastern and central China, while studies conducted post-2020 reported lower concentrations, which corresponded to reduced discharges during the COVID-19 lockdown. Age-grouped health risk assessment indicated that current levels of EEs in surface waters have not yet exceeded the lower limit threshold for potential health risks. However, the potential risks to sensitive groups such as children cannot be overlooked. The substantial heterogeneity across studies reflects variations in geographical location, seasonality, and methodology. This study provides the most comprehensive assessment of EEs in Chinese surface water, highlighting their widespread occurrence, potential risks to vulnerable populations, and evidence gaps in western and rural areas. These findings provide a scientific basis for strengthening water quality standards, prioritizing pollutant management, and guiding future monitoring efforts in China.

Original languageEnglish
Article number216
JournalApplied Water Science
Volume16
Issue number7
DOIs
Publication statusPublished - Jul 2026

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Endocrine disrupting chemicals
  • Environmental estrogen
  • Health risk assessment
  • Meta-analysis

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