使用GIS和多变量统计数据解读潜在有毒元素的空间模式,以促进中东和北非地区某些地区的可持续发展
Mohamed Youssef1, Abdelbaset S El-Sorogy2, Sami Al Otaibi2
1Geology Department, Faculty of Science, South Valley University, Qena 83523, Egypt.
Toxicology research
|December 1, 2025
概括
本研究绘制了埃及Qena的潜在有毒元素 (PTEs) 地图,确定了大多数PTEs的工业和农业来源. 结果显示,土壤受到严重污染,强调需要对环境进行监测,以保护健康和土地.
科学领域:
- 环境科学 环境科学
- 地质化学 地质化学
- 土壤科学 土壤科学
背景情况:
- 潜在有毒元素 (PTEs) 对生态系统和人类健康构成风险.
- 了解PTE的分布和来源对于环境管理至关重要.
- 埃及的Qena要求对土壤污染水平进行评估.
研究的目的:
- 在埃及的Qena绘制PTEs (As,Co,Cr,Cu,Fe,Mn,Ni,V,Zn) 的空间分布图.
- 用地缘统计分析来确定PTE的来源.
- 评估土壤污染水平和相关风险.
主要方法:
- 收集和分析30个土壤样本以检测PTE.
- 多变量地缘统计分析包括相关性矩阵,主要组件分析 (PCA) 和集群分析.
- 污染负载指数 (PLI),污染程度 (DC) 和尼默罗污染指数 (NPI) 的应用.
主要成果:
- 在大多数PTE (除A外) 中观察到强烈的积极关联.
- PCA确定工业/农业活动是Co,Cr,Cu,Fe,Mn,Ni,V和Zn的主要来源,而石质学与As有关.
- 发现了严重的土壤污染,根据PLI,该地区有61%的土地受到污染;DC和NPI表示污染水平中等至相当.
结论:
- 工业和农业活动是研究区域中PTE土壤污染的主要原因.
- 凯纳地区的很大一部分表现出有关土壤污染的水平.
- 建议对PTE进行持续监测,以评估环境风险和可持续管理,与联合国可持续发展目标保持一致.
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