提高对土壤重金属 (loid) 的健康风险评估,使用基于的蒙特卡洛模拟方法
Xiaohui Wang1, Feng Xu2, Yanjin Gui1
1Anhui Provincial Academy of Eco-Environmental Science Research, Hefei 230061, China.
Ecotoxicology and environmental safety
|June 4, 2025
概括
将Copula功能与蒙特卡洛模拟 (MCS) 集成,通过考虑元素间的相关性,改善了对多种土壤重金属的健康风险评估 (HRA),从而使风险估计更加准确.
科学领域:
- 环境科学 环境科学
- 毒理学 毒理学 毒理学
- 风险评估 风险评估
背景情况:
- 概率性健康风险评估 (HRA) 经常忽视重金属 (HM) 相关性,影响准确性.
- 土壤被多种重金属污染是一个重要的环境问题.
研究的目的:
- 开发一个增强的HRA模型,将Copula功能与蒙特卡罗模拟 (MCS) 集成在一起,以解决HM相互依赖.
- 提高多金属污染地区风险估计的可靠性.
主要方法:
- 对109个表面土壤样本进行重金属度分析.
- 应用Copula函数 (特别是t Copula) 与MCS集成,以模拟HM度.
- 计算危险指数 (HI) 和总致癌风险 (TCR),考虑HM相关性.
主要成果:
- t Copula最好地捕捉到了HM尾巴依赖性和非线性关联.
- 结合相关性使儿童的HI增加了9.2%,成人女性的TCR增加了11.8%.
- 灵敏度分析显示,相关性会重新分配风险贡献,减少主要污染物的影响.
结论:
- 科普拉-MCS框架显著提高了对多种土壤重金属的HRA可靠性.
- 考虑到HM相关性,可以更准确地表示实际的健康风险.
- 这种综合方法为有效的土壤风险管理提供了至关重要的方法支持.
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
89
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
89
Extraction: Advanced Methods
552
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
552


