State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, An Wai Da Yang Fang 8, Chaoyang District, Beijing, 100012, China.
Environ Sci Pollut Res Int. 2014 Jan;21(1):168-76. doi: 10.1007/s11356-013-2110-2. Epub 2013 Sep 8.
China has recently commenced water quality criteria (WQC) research using the species sensitivity distribution (SSD) method; however, it is difficult to obtain sufficient native species toxicity data for thousands of contaminants. In this study, the feasibility of using non-native toxicity data in deriving native WQC was analyzed. We constructed SSDs based on acute toxicity data of species from China and the USA for eight priority pollutants, and compared the sensitivities of different taxonomic groups between the two countries. The results showed that the SSD method of log-logistic distribution fit the toxicity data of different taxa well. The comparison of sensitivity distribution and hazardous concentration for 5% of the species and 50% of the species showed that there was no significant difference between Chinese and American taxa. It could be feasible to use toxicity data from the USA to provide a temporary way to protect organisms in China in emergency situations or for management of priority pollutants when native toxicity data are lacking.
中国最近开始使用物种敏感性分布 (SSD) 方法制定水质标准 (WQC)；然而，对于成千上万的污染物，很难获得足够的本地物种毒性数据。在本研究中，分析了在推导本地 WQC 时使用非本地毒性数据的可行性。我们基于来自中国和美国的八种优先污染物的物种急性毒性数据构建了 SSD，并比较了两个国家不同分类群的敏感性。结果表明，对数逻辑分布的 SSD 方法很好地拟合了不同分类群的毒性数据。对 5%的物种和 50%的物种的敏感性分布和危险浓度的比较表明，中国和美国的分类群之间没有显著差异。在紧急情况下或在缺乏本地毒性数据的情况下，管理优先污染物时，使用来自美国的毒性数据为保护中国的生物提供一种临时方法是可行的。
