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多因子影响下铜的水质基准及生态风险
引用本文:刘娜,李亚兵,刘红玲.多因子影响下铜的水质基准及生态风险[J].中国环境科学,2022,42(7):3353-3361.
作者姓名:刘娜  李亚兵  刘红玲
作者单位:1. 南京大学环境学院, 污染控制与资源化研究国家重点实验室, 江苏 南京 210023;2. 江苏省生态环境保护化学品安全与健康风险研究重点实验室, 江苏 南京 210023
基金项目:国家自然科学基金资助项目(22176095,21677073);;国家科技重大专项(2018ZX07208001);;国家重点研发项目(2018YFC1801505);
摘    要:为探究特定水环境中多因子影响下的铜水质基准及生态风险,采用物种权重敏感度分布法、水效应比法和生物配体模型推导保护太湖水生生物铜的水质基准.根据推导结果,推荐采用最大浓度基准值(CMC)1.43 μg/L和持续浓度基准值(CCC)1.33 μg/L.结合水效应比法和生物配体模型,采用联合概率法评估太湖铜的生态风险.结果表明,两种方法下丰水期5%水生生物受到铜慢性毒性影响的概率分别为23.43%和39.43%,而未考虑多因子影响的风险概率为85.01%,高估了太湖铜生态风险.可见,水环境多因子对水质基准和生态风险的影响不容忽视,我国目前使用的铜标准可能无法保护特定区域的水生生物.考虑多因子影响可提高基准值推导和风险评估的科学性,避免"过保护"和"欠保护"现象.

关 键 词:  多因子影响  水质基准  生态风险  物种权重敏感度分布法  水效应比法  生物配体模型  
收稿时间:2021-12-10

The water quality criteria and ecological risks of copper under the influence of multiple factors
LIU Na,LI Ya-bing,LIU Hong-ling.The water quality criteria and ecological risks of copper under the influence of multiple factors[J].China Environmental Science,2022,42(7):3353-3361.
Authors:LIU Na  LI Ya-bing  LIU Hong-ling
Institution:1. State Key Laborotory of Pollution Control&Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China;2. Jiangsu Province Ecology and Environment Protection Key Laboratory of Chemical Safety and Health Risk, Nanjing 210023, China
Abstract:In order to explore the impact of multiple factors on water quality criteria and ecological risks, the weighted species sensitivity distribution (WSSD), water effect ratio (WER) and biological ligand model (BLM) were used to derive the water quality criteria of copper for protecting aquatic organisms in Tai Lake. The criterion maximum concentration (CMC) of 1.43μg/L and the criterion continuous concentration (CCC) of 1.33μg/L were recommended as the water quality criteria of copper in Tai Lake. Joint probability curve (JPC) combining WER and BLM were used to further assess the ecological risks. There were 23.43% (WER) and 39.43% (BLM) probability of affecting 5% aquatic organisms during wet season in Tai Lake, respectively, while the traditional method overestimated the risks of copper in Tai Lake with a probability of 85.01%. These findings clearly suggest that the influence of multiple factors in the aquatic environment on water quality criteria and ecological risks cannot be ignored, currently environmental quality standard of copper adopted in China may not be able to protect aquatic organisms in specific areas such as Tai Lake. Considering multiple factors will obtain more reasonable water quality criteria and ecological risks assessment results, and avoid the phenomenon of “over-protection” or “under-protection”.
Keywords:copper  influence of multiple factors  water quality criteria  ecological risks  weighted species sensitivity distribution (WSSD)  water effect ratio(WER)  biological ligand model(BLM)  
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