结合APCS-MLR模型来评估稀土元素的分布和来源在一个大流域
Xinyi Fu1, Xing Chen2, Fazhi Xie1
1School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, 230601, Anhui, China.
Environmental pollution (Barking, Essex : 1987)
|November 7, 2024
概括
由于矿物和工业来源,长江流域的稀土元素在上游和下游地区较高. 这项研究量化了REE的分布和来源,揭示了人类对水生生态系统的影响.
科学领域:
- 环境地质化学环境地质化学
- 水生生态系统分析分析
- 微量元素研究研究.
背景情况:
- 稀土元素 (REE) 作为环境跟踪和评估人类对水生生态系统的影响的关键指标.
- 在大河流盆地,如长江,对自然资源的地化学特征的系统研究是有限的.
- 了解REE分布对于管理受人类活动影响的水生环境至关重要.
研究的目的:
- 研究长江流域的自然资源的地化学性质,数量和空间分布.
- 量化评估河流表面水生环境中可再生能源的来源.
- 确定影响REE度和分散的自然和人为因素.
主要方法:
- 对REE数量和空间分布在上游,中游和下游部分的分析.
- 评估REE的地化学特征,包括异常 (Ce,Eu).
- 应用绝对主要组件得分-多重线性回归 (APCS-MLR) 模型来确定REE来源.
主要成果:
- 与中游 (0.39μg/L) 相比,REE度在上游 (0.69μg/L) 和下游 (0.56μg/L) 地区显著更高.
- 稀土元素 (REEs) 富含轻稀土元素 (LREEs),有轻微的负Ce异常和明显的正Eu异常.
- 在APCS-MLR模型中,可再生能源的矿物 (36.80%),工业 (45.61%) 和混合 (17.59%) 来源被确定.
结论:
- 长江的REE分布受到自然过程 (例如,田溶解) 和人为因素 (例如,工业废水排放) 的影响.
- 矿山开采和溶解含的地矿物质,以及工业活动,显著影响REE水平.
- 这项研究提供了对在大型河流流域中受到人类活动影响的REE分散的基本理解.
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