Watershed-Scale Environmental Risk Assessment of Accidental Water Pollution: The Case of Laoguan River, China

被引:35
|
作者
Liu, R. Z. [1 ]
Zhang, K. [1 ,2 ]
Zhang, Z. J. [1 ]
Borthwick, A. G. L. [3 ,4 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
[2] Zhengzhou Inst Aeronaut Ind Management, Coll Civil Construct Engn, Zhengzhou 450015, Henan, Peoples R China
[3] Univ Edinburgh, Sch Engn, Kings Bldg, Edinburgh EH9 3JL, Midlothian, Scotland
[4] St Edmund Hall,Queens Lane, Oxford OX1 4AR, England
基金
中国国家自然科学基金;
关键词
water pollution accidents; risk analysis; watershed; South-to-North Water Diversion; Laoguan River; ECOLOGICAL RISK; PESTICIDE CONTAMINATION; BASIN; SYSTEM; EROSION;
D O I
10.3808/jei.201600346
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although co-existing sources of chemicals pose major cumulative environmental threats to watersheds, few risk assessments have specifically tackled the accidental chemical pollution of rivers at watershed-scale. Herein, a Watershed-scale Accidental Pollution Risk Assessment (WAPRA) method was constructed which applied a risk ranking procedure to the whole watershed, and was based on watershed-scale stressors, exposures to and effects of water accidental pollution risk (e.g., sudden occurrences, waterway spread, and acute consequences). Multi-criteria analysis and instantaneous water quality models were used to refine the risk ranking procedure within the framework of a Relative Risk Model (RRM), a regional-scale ecological risk assessment approach. The study area comprised the Laoguan River, a tributary watershed of the Danjiangkou Reservoir, which will eventually feed into the South-to-North Water Diversion Project in China. The resultant map shows that risk is higher in the upstream and downstream reaches, and lower in the middle reaches. The map also indicates that the greatest threat to water quality arises from the upstream heavy metal mine tailings ponds. Sensitivity and uncertainty analyses were performed to validate the robustness of the WAPRA method.
引用
收藏
页码:87 / 96
页数:10
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