运用物种敏感度分布法推导磺胺类药物的水质基准

发布时间：2019-01-21 17:25

【摘要】：基于中国的水生生物区系特征,筛选了包括细菌、藻类、轮虫、甲壳类、鱼类、水生植物等水生生物的急性毒性数据,使用物种敏感度分布法探讨了物种的敏感度分布特征,推导了磺胺类药物的水生生物水质基准。同时,用基准值与毒性百分数排序法在对急性值的推导上做了对比,总体显示HC5值大于急性浓度终值(FAV值),毒性百分数排序法更加保守。在用不同模型拟合过程显示,所选用的6种磺胺类药物,除磺胺嘧啶外,5种SSD计算出的HC_5的几何均值可作为推导基准最大浓度(CMC)和基准连续浓度(CCC)的基准值。从物种敏感度分布法推导出的基准连续浓度(CCC)值显示,磺胺嘧啶、磺胺甲恶唑和磺胺氯哒嗪的数值较低,分别为0.02、0.06、0.08 mg/L,均低于0.1 mg/L。由于毒性数据量偏小,个别数据的波动对数据分布特征影响较大,几种模型推导的磺胺嘧啶的HC_5几何均值与急性浓度终值(FAV值)的差异也反映了应用不同方法推导水质基准会产生一定的不确定性,需要根据现有数据的数量和质量,选用适宜的方法进行水质基准的推导和确立。
[Abstract]:Based on the characteristics of aquatic biota in China, the acute toxicity data of aquatic organisms including bacteria, algae, rotifers, crustaceans, fish and aquatic plants were screened. The water quality standard of sulfanilamides was derived. At the same time, the comparison was made between the standard value and the toxicity percentage ranking method in the derivation of the acute value. The overall HC5 value was larger than the acute concentration final value (FAV value), and the toxicity percentage ranking method was more conservative. The results of fitting with different models show that the geometric mean values of HC_5 calculated by five kinds of SSD except sulfadiazine can be used as the reference values of the reference maximum concentration (CMC) and the standard continuous concentration (CCC). The (CCC) values derived from the method of species sensitivity distribution showed that the values of sulfadiazine, sulfamethoxazole and sulfamethoxypyridazine were lower than 0. 1 mg/L., respectively. The values of 0. 02 0. 06 mg/L, were lower than 0. 1 mg/L.. Because of the small amount of toxic data, the fluctuation of individual data has a great influence on the distribution characteristics of the data. The difference between the HC_5 geometric mean of sulfadiazine and the final value of acute concentration (FAV) derived from several models also reflects the uncertainty of using different methods to derive water quality standard, which needs to be based on the quantity and quality of existing data. A suitable method is used to deduce and establish the water quality standard.
【作者单位】：西安建筑科技大学环境与市政工程学院;清华大学环境学院环境模拟与污染控制国家重点联合实验室持久性有机污染物研究中心;
【基金】：国家“863”项目(2013AA06A305) 国家自然科学基金(21207076) 清华大学自主科研项目
【分类号】：X171.5;X52

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