Probabilistic ecological risk assessment of cadmium in the Bohai Sea using native saltwater species

MU Jingli WANG Juying WANG Ying CONG Yi ZHANG Zhifeng

穆景利, 王菊英, 王莹, 丛艺, 张志锋. 基于我国海洋生物区系特征的渤海表层水体中镉的概率生态风险评估[J]. 海洋学报英文版, 2014, 33(12): 212-221. doi: 10.1007/s13131-014-0575-6
引用本文: 穆景利, 王菊英, 王莹, 丛艺, 张志锋. 基于我国海洋生物区系特征的渤海表层水体中镉的概率生态风险评估[J]. 海洋学报英文版, 2014, 33(12): 212-221. doi: 10.1007/s13131-014-0575-6
MU Jingli, WANG Juying, WANG Ying, CONG Yi, ZHANG Zhifeng. Probabilistic ecological risk assessment of cadmium in the Bohai Sea using native saltwater species[J]. Acta Oceanologica Sinica, 2014, 33(12): 212-221. doi: 10.1007/s13131-014-0575-6
Citation: MU Jingli, WANG Juying, WANG Ying, CONG Yi, ZHANG Zhifeng. Probabilistic ecological risk assessment of cadmium in the Bohai Sea using native saltwater species[J]. Acta Oceanologica Sinica, 2014, 33(12): 212-221. doi: 10.1007/s13131-014-0575-6

基于我国海洋生物区系特征的渤海表层水体中镉的概率生态风险评估

doi: 10.1007/s13131-014-0575-6
基金项目: The National Natural Science Foundation of China under contract No. 41106089; the National Key Technology Research and Development Program of the Ministry of Science and Technology of China under contract No. 2010BAC69B01; the Scientific Research Special Fund of Marine Public Welfare Industry under contract No. 201005008-1.

Probabilistic ecological risk assessment of cadmium in the Bohai Sea using native saltwater species

  • 摘要: 预测无效应浓度(Predicted no-effect concentration, PNEC)是开展污染物生态风险评估的关键参数.本研究在筛选确定符合我国海洋生物区系特征的慢性毒性数据基础上,采用log-normal、log-triangle distribution、burr Ⅲ distribution (BurrliOZ)三种物种敏感性分布曲线法和评价因子法等四种方法推导了镉的PNEC值.四种方法所推导的PNEC值为0.08 ~ 1.8 μg/L,其中基于SSD方法的PNEC为0.94~1.8 μg/L.同时为评估渤海表层水体中溶解态镉的生态风险,本研究收集了自2006年7月至2007年11月共190个站位753组镉的浓度数据.采用商值法、概率风险商值法和联合概率曲线法等3种方法对镉的生态风险进行了评估.结果显示,总体上渤海表层水体中镉的生态风险在可接受水平,其中辽东湾的风险相对较高,其次为渤海湾和莱州湾.商值概率分布法和联合概率分布法的评价结果具有确切的概率意义,更适合毒性数据丰富的污染物生态风险评价.
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  • 收稿日期:  2013-07-18
  • 修回日期:  2013-12-24

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