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基于Pb同位素和PMF和MixSIAR模型的城市-农村河流沉积物中Pb来源的定量评估

Shanshan Xi^1,2, Wei Wang¹, Lei Sun³

¹School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei 230031, Anhui, China. 15705610332@163.com.

Environmental science. Processes & impacts

|December 17, 2025

概括

这项研究使用稳定同位素和先进模型追踪河流沉积物中的重金属来源. 农业和工业活动被认为是导致河污染的主要原因.

科学领域:

环境科学环境科学
地质化学地质化学
水质管理水质管理

背景情况:

城乡河流面临着来自不同土地使用和来源的复杂污染挑战.
在河流沉积物中追踪重金属来源对于有效的环境管理至关重要.

研究的目的:

在城市和农村河流沉积物中量化识别重金属 (化物) 来源及其贡献模式.
使用多模型方法调查 (Pb) 污染源.

主要方法:

结合 (Pb) 稳定同位素,正矩阵分解 (PMF) 和贝叶斯混合模型 (MixSIAR).
在河沉积物中分析了Cr,As,Cd,Mn,Cu,Zn,Ni和Pb的度.
与当地土地使用模式相关的重金属污染.

主要成果:

大多数重金属的平均度超过了当地土壤背景值.
PMF确定了具有特定金属贡献的自然,工业,农业和交通来源.
MixSIAR量化了Pb贡献:农业 (32.1%),工业 (30.5%),交通 (27.2%) 和自然 (10.3%).

结论:

该研究成功地确定和量化了河流沉积物中的多来源重金属 (化物) 污染.
这些发现支持针对河流管理和控制的有针对性的污染预防战略.
综合建模方法为定量来源识别提供了一个新的视角.

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