DOI: 10.1016/j.watres.2018.08.053
Scopus记录号: 2-s2.0-85053112974
论文题名: Estimating the eco-toxicological risk of estrogens in China's rivers using a high-resolution contaminant fate model
作者: Grill G. ; Li J. ; Khan U. ; Zhong Y. ; Lehner B. ; Nicell J. ; Ariwi J.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 145 起始页码: 707
结束页码: 720
语种: 英语
英文关键词: China
; Contaminant fate modelling
; Eco-toxicology
; Hormones
; Large-scale
; Risk assessment
; Wastewater
Scopus关键词: Contamination
; Health risks
; Hormones
; Lakes
; Population statistics
; Reservoirs (water)
; Risk assessment
; Risk perception
; Rivers
; Sewage pumping plants
; Sewage treatment plants
; Steroid hormones
; Toxicity
; Wastewater
; Wastewater treatment
; Water quality
; Water treatment plants
; China
; Contaminant concentrations
; Contaminant fate models
; Eco-toxicology
; Large-scale
; Predicted no-effect concentrations
; Very high spatial resolutions
; Wastewater treatment plants
; River pollution
; anthropogenic source
; concentration (composition)
; discharge
; ecotoxicology
; estimation method
; estrogenic compound
; hormone
; hydrological modeling
; industrialization
; pollutant removal
; pollutant transport
; population growth
; risk assessment
; river basin
; spatial resolution
; steroid
; stream
; surface water
; wastewater treatment
; China
英文摘要: The contamination of freshwater systems arises in many river basins due to industrialization and population growth, posing risks to ecosystems and human health. Despite these concerns, the fate and potential impact of many emerging pollutants are currently unknown, especially when the compounds are released into surface waters from populations distributed across large spatial scales. In order to address this shortcoming, a spatially-explicit contaminant fate model was developed as an extension of the global, vector-based river routing model HydroROUT. HydroROUT operates at very high spatial resolution (∼500 m), simulates river and stream chemical transport with in-stream removal, and contains links to a set of lakes and reservoirs, which act as a partial sink during the transport. The chemical fate model was applied to China and includes a consumption and release module based on county-level population demographics, considers point-source contributions from 2547 wastewater treatment plants, and accumulates contributions of rural and urban populations not connected to sewage treatment plants. As a case study, the sources and fates of the estrogens estrone (E1), 17β-estradiol (E2), estriol (E3), as well as the synthetic estrogenic steroid hormone 17α-ethinylestradiol (EE2) were modelled in Chinese surface water bodies. Preliminary validation of the results showed predictions to be within the ranges of concentrations reported in literature, with exception of EE2. The total estrogenic mass in the entire river and lake system amounted to 370 tonnes of estrogens, with about 1.3 tonnes per year discharged to the ocean, neighboring countries or to inland sinks. Under a selected baseline scenario, eco-toxicological risk—i.e., contaminant concentrations in excess of the predicted no effect concentration (PNEC)—is found in 23.6% of all analyzed rivers of China with an average flow > 0.1 m3/s. Out of these, about 4% of rivers showed a high level of risk of 10 times or more above PNEC. Medium-to-large rivers are disproportionally affected; for example, 23.6%, 37.3%, 29.0% and 21.6% of river length are at risk in rivers of 1–10, 10–100, 100–1,000, and 1,000–10,000 m3/s of discharge, respectively, whereas no risk was predicted in the largest rivers (i.e., >10,000 m3/s) of China. Wastewater treatment plants process 22.5% of the total hormone load and thus play an important role in water quality control by reducing the risk in substantial portions of the river network, which would otherwise show elevated risk. Releases from untreated population dominate by far the overall contribution to risk. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112425
Appears in Collections: 气候减缓与适应
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作者单位: Department of Geography, McGill University, 805 Sherbrooke Street West, Montreal, H3A 0B9, Canada; Department of Civil Engineering & Applied Mechanics, McGill University, 817 Sherbrooke Street West, Montreal, H3A 0C3, Canada; Beijing Municipal Research Institute of Environmental Protection, Beijing, 100037, China; College of Water Science, Beijing Normal University, China; College of Water Science, Beijing Normal University, China; Department of Chemistry and Chemical Engineering, Lahore University of Management Sciences, Lahore, Pakistan; Tsinghua University, Beijing, China
Recommended Citation:
Grill G.,Li J.,Khan U.,et al. Estimating the eco-toxicological risk of estrogens in China's rivers using a high-resolution contaminant fate model[J]. Water Research,2018-01-01,145