在受炼影响的地区使用机器学习方法评估和预测小麦粒中重金属的贡献和积累
Lingkun Meng1, Anxu Sheng1, Liu Cao2
1School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; Hubei Key Laboratory of Multi-media Pollution Cooperative Control in Yangtze Basin, School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
The Science of the total environment
|August 13, 2024
概括
大气沉积显著影响在炼厂附近的小麦谷物中沉积的重金属,土壤的可用性比,和的总含量更重要. 这项研究有助于管理受污染的土壤和可持续的炼.
科学领域:
- 环境科学 环境科学
- 农业科学 农业科学
- 地质化学 地质化学
背景情况:
- 由于各种控制因素和大气沉积,在炼厂附近的作物中沉积重金属 (HM) 是复杂的.
- 在炼受影响的地区,预测农作物中的HM积累是具有挑战性的.
研究的目的:
- 开发一种预测模型,用于 (Pb), (As) 和 (Cd) 在小麦粒中的积累.
- 确定影响炼区小麦中HM积累的关键因素.
主要方法:
- 利用了整合大气沉积数据的增强回归树模型.
- 分析了大气沉积的相对重要性,土壤总HM含量和土壤可用的HM含量.
- 进行边际效应和路径分析以了解HM积累驱动因素.
主要成果:
- 该模型实现了预测Pb,As和Cd积累的平均R2>0.8.
- 大气沉积是Pb (28.2%) 和As (31.2%) 积累的主要因素,但不是Cd (12.1%).
- 可用土壤HM含量对Pb,As和Cd的积累比总土壤HM含量更有影响.
结论:
- 大气沉积和土壤HM可用性对于炼厂附近的小麦谷物污染至关重要.
- 尘埃中的Pb和土壤中可用的Cd的确定的值加剧了积累.
- 这些发现支持可持续的有色金属炼和受HM污染的土壤管理.
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