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在一个工业园区复杂的土壤污染源的定量追踪和人类风险评估

Minke Xu¹, Ruicheng He², Guannan Cui²

¹Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing, 100012, China; School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.

Environmental research

|May 29, 2024

概括

工业园区的污染是复杂的. 这项研究确定了主要的污染源和驱动因素,有助于环境保护的有针对性的整治工作.

科学领域:

环境科学环境科学
环境化学环境化学
地质化学地质化学

背景情况:

工业园区面临复杂的污染挑战,使得污染物来源的识别变得困难.
工业园区土壤中的令人担忧的污染物包括重金属和有机化合物.
了解污染驱动因素对于有效的环境管理至关重要.

研究的目的:

在中国的一个工业园区中识别和分配污染源.
评估影响污染物在土壤中的分布的驱动因素.
评估与已识别的污染源相关的健康风险.

主要方法:

在11个工厂 (有机颜料,无机颜料,化学品) 调查了327个样本点.
分析了八种令人担忧的污染物 (COC):Mn,Cd,As,Co,NH3-N,1,2-三乙烯,,和石油碳化合物.
雇员正矩阵因数分解 (PMF) 和随机森林 (RF) 用于来源分配.

主要成果:

地下水迁移,不符合标准的排放,生产泄漏和污染物相互作用是主要的驱动因素.
四家化学工厂和一家无机色素工厂是主要来源.
源5与1,2-三乙烯 (29.6%),二 (30%) 和 (31.6%) 有很强的相关性.
工厂F7和F10为污染风险贡献了60%以上.

结论:

这项研究为了解工业园区污染特征和来源分配提供了一个框架.
确定了污染源和驱动因素,可以制定有针对性的环境管理策略.
该研究支持决策者优先考虑污染控制工作,以提高工业园区的安全性.

关键词:

在COCs查中,进行查.地质探测器地质探测器不同质的分布不同质的分布这是一个RF-PMF.基于来源的风险评估

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