Li Le, Dong Yuying, Chen Yuting, Jiao Jian, Zou Xuejun
College of Environment and Resource, Dalian Minzu University, Dalian 116600, China.
Toxics. 2022 Oct 30;10(11):659. doi: 10.3390/toxics10110659.
Pollutant discharge causing the deterioration of the watershed environment has seriously threatened human health and ecosystem function. The importance of improving the risk warning system is becoming more and more prominent. Traditional chemical risk assessment methods focused on toxicity and the exposure of pollutants without considering the impact of persistent pollutants in different environmental media. In this study, a new approach was proposed to reflect multi-dimensional evaluation with a synthetic risk factor (SRF) of pollutants. The integrating parameters of SRF include toxicity endpoint values, environmental exposure level, persistent properties, and compartment features. Selected pesticides, perfluorinated compounds, organophosphate esters and endocrine disruptors were analyzed by the proposed and traditional methods. The results showed a higher risk outcome using SRF analysis for PFOS, imazalil, testosterone, androstenedione and bisphenol A, which were different from those obtained by the traditional method, which were consistent with existing risk management. The study demonstrated that the SRF method improved the risk assessment of various pollutants in different environmental media in a more robust fashion, and also provided a more accurate decision basis for ecological environment protection.
污染物排放导致流域环境恶化，已严重威胁到人类健康和生态系统功能。完善风险预警系统的重要性日益凸显。传统化学风险评估方法侧重于污染物的毒性和暴露情况，而未考虑不同环境介质中持久性污染物的影响。本研究提出了一种新方法，用污染物综合风险因子（SRF）反映多维度评估。SRF的综合参数包括毒性终点值、环境暴露水平、持久性特征和环境介质特征。采用所提出的方法和传统方法对选定的农药、全氟化合物、有机磷酸酯和内分泌干扰物进行了分析。结果表明，采用SRF分析法对全氟辛烷磺酸、抑霉唑、睾酮、雄烯二酮和双酚A得出的风险结果更高，这与传统方法所得结果不同，传统方法所得结果与现有风险管理一致。该研究表明，SRF方法以更可靠的方式改进了不同环境介质中各种污染物的风险评估，也为生态环境保护提供了更准确的决策依据。
