基于多模型的量化来源分配和土壤重金属风险评估:一种可靠的方法来实现区域污染可追溯性和管理
Yujie Zhu1, Kang Hou1, Jiawei Liu1
1School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an, Shaanxi, China.
The Science of the total environment
|November 5, 2024
概括
林通的农业土壤显示中度到轻度的重金属污染. 一个新的框架将农业和工业活动确定为主要来源,对人类健康的风险最小. 这有助于污染控制战略.
科学领域:
- 环境科学 环境科学
- 土壤科学 土壤科学
- 毒理学 毒理学 毒理学
背景情况:
- 农业用地的污染对生态系统和人类健康构成风险.
- 有效地管理土壤污染需要准确的来源分配.
- 了解重金属污染对环境保护至关重要.
研究的目的:
- 制定农业土壤重金属来源分配的综合框架.
- 评估农业土壤中重金属的污染水平和空间分布.
- 评估与土壤重金属污染相关的人类健康风险.
主要方法:
- 开发了一个源分配框架,整合了相关性分析和多个受体模型.
- 分析了土壤重金属 (SHM) 的空间分布和污染程度.
- 采用蒙特卡洛模拟用于人类健康风险评估 (HHRA).
主要成果:
- 农业土壤中度 (28.8%) 和轻度 (71.2%) 的污染水平.
- 在Cu,Ni,Pb,Cr和Zn之间有很强的相关性,这表明它们有共同的起源.
- 主要来源被确定为农业 (41.36%) 和工业 (19.69%),其次是交通,自然因素和沉积/流失.
- 成人和儿童的非致癌性健康风险在轻微风险范围内.
结论:
- 综合框架提高了土壤重金属来源分配的可靠性.
- 农业和工业活动是土壤重金属污染的重要贡献者.
- 目前的土壤重金属含量对研究区域的人类健康造成的风险可以忽略不计.
- 调查结果为有针对性的污染控制和管理策略提供了基础.
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