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使用绝对主要成分评分 - 多重线性回归和正矩阵因子化模型的红泥处理场所周围的土壤中重金属污染的特征和来源分配

Wenwen Cui¹, Xiaoqiang Dong^2,3, Jiajiang Liu¹

¹Department of Civil Engineering, Taiyuan University of Technology, Located at 79 West Yingze Street, Taiyuan, 030024, Shanxi, China.

Environmental geochemistry and health

|November 7, 2024

概括

在山西省的红泥场附近的农业土壤显示严重的重金属污染,构成最高的生态风险. 工业活动和农业肥料被确定为主要污染源.

科学领域:

环境科学环境科学
土壤科学土壤科学
地质化学地质化学

背景情况:

工业废物和农业化学品降低了土壤的肥力,影响了粮食安全和生态系统.
来自工业的红泥沉积物导致周边地区严重的重金属污染,特别是在中国.
土壤污染带来了重大的环境和健康风险,需要进行详细的评估和来源识别.

研究的目的:

分析在山西省红泥场附近的农业土壤中八种重金属 (Cd,Cr,Hg,Ni,Pb,As,Cu,Zn) 的含量和分布.
用地缘统计方法和GIS评估重金属污染状况和潜在的生态风险.
使用绝对主要组件分数-多重线性回归 (APCS-MLR) 和正矩阵因数分解 (PMF) 模型识别和量化重金属污染的来源.

主要方法:

地理统计分析和地理信息系统 (GIS) 用于空间分布评估.
使用单一因素指数,Nemerow综合指数和Hakanson潜在生态风险指数进行污染评估.
使用APCS-MLR和PMF模型进行重金属的来源分配.

主要成果:

八种重金属的平均度超过了自然背景值,表明严重的污染和适度的生态风险.
(As), (Pb) 和 (Cr) 表示严重的污染; (Hg) 构成最高的生态风险.
确定了五种主要污染源:工业活动,农业肥料,红泥液,能源燃烧和自然地质背景.

结论:

靠近红泥场地的农业土壤受到重金属的严重污染,造成生态风险.
有效的土壤污染控制战略必须涉及工业活动,农业实践和红泥管理.
这项研究为区域土壤污染管理和减缓工作提供了关键数据.

关键词:

农业土壤农业土壤重金属是一种重金属.红泥花园是一个红泥花园.风险分析风险分析来源分配的分配方式

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