根据机器学习,正矩阵因子化模型和蒙特卡洛模拟,识别碎片化蔬菜田的土壤植物系统中的重金属来源和健康风险
Jiacheng Shi1, Yu Yang1, Zhijie Shen2
1College of Resources and Environment, Southwest University, Chongqing 400715, China.
Journal of hazardous materials
|August 11, 2024
概括
城市蔬菜田中的重金属 (HM) 污染对健康构成风险. (Cd) 是一个主要的污染物,工业和交通等城市因素增加了HM积累和儿童和成人健康风险.
科学领域:
- 环境科学 环境科学
- 环境化学环境化学
- 公共卫生 公共卫生
背景情况:
- 城市碎片化的蔬菜田提供新鲜产品,但有可能暴露在重金属 (HM) 中.
- 了解这些系统中的HM来源和健康风险对于食品安全至关重要.
研究的目的:
- 调查城市土壤植物系统中的HM来源和相关健康风险.
- 确定影响重庆市中心城区蔬菜中HM积累的因素.
主要方法:
- 对HM含量分析了土壤和蔬菜样本.
- 使用正矩阵因数分解 (PMF) 来识别HM来源.
- 使用随机森林 (RF) 和蒙特卡洛模拟来评估积累因素和健康风险.
主要成果:
- (Cd) 是主要的污染物,28.33%的土壤样本超过选值.
- 花和菜显示出显著的HM积累;花超过了Cd, (Hg) 和 (Cr) 的值.
- 农业活动,土壤母体材料,炼/运输和煤炭燃烧是PMF认为的HM来源.
- 企业,人口和道路密度显著影响了HM积累.
- 对于儿童来说, (Pb) 和 (As) 的非致癌风险更高;对于成人来说,Cd的致癌风险更高.
结论:
- 城市蔬菜田中的HM污染带来中度至严重的风险.
- 工业活动和城市密度是HM污染的主要驱动因素.
- 迫切需要注意减轻城市农业中的HM风险,以保护公共健康.
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