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

机译:流域尺度的水污染环境风险评估-以中国老关河为例

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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.
机译:尽管共存的化学物来源对流域构成了重大的累积环境威胁,但很少有风险评估能够专门解决流域规模的河流意外化学污染。在此,构建了流域规模的意外污染风险评估(WAPRA)方法,该方法将风险分级程序应用于整个流域,并且该方法基于流域规模的压力源,水意外污染风险(例如突发事件)的暴露和影响,水路扩散和严重后果)。在相对风险模型(RRM)(一种区域规模的生态风险评估方法)的框架内,使用了多标准分析和瞬时水质模型来完善风险分级程序。研究区域包括老灌河,它是丹江口水库的一个支流分水岭,最终将注入中国的南水北调工程。结果图显示,上游和下游风险较高,而中游风险较低。该地图还表明,对水质的最大威胁来自上游重金属矿山尾矿池。进行了敏感性和不确定性分析,以验证WAPRA方法的鲁棒性。

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