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基于PCA-PMF模型的城市土壤中重金属空间分布及健康评价

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通过主成分分析(Principal Components Analysis,PCA)和正定矩阵因子分析(Positive Matrix Factorization,PMF)模型,研究城市土壤中重金属的空间分布及其污染源.相较于背景值,大部分元素的平均含量偏高.通过PCA识别出人为活动和自然母质为两个主要污染源,通过PMF进一步细化为交通活动、工业活动和自然来源3个污染因子.健康风险评估表明,虽然儿童面临更高的致癌风险,但是所有评估的重金属致癌风险均未超过可接受水平,表明该地区土壤中的重金属对公众的致癌风险是可接受的.
Spatial Distribution and Health Assessment of Heavy Metals in Urban Soil Based on PCA-PMF Model
By using Principal Component Analysis(PCA)and Positive Matrix Factorization(PMF)models,the spatial distribution and pollution sources of heavy metals in urban soils were studied.Compared to the background values,the average content of most elements is relatively high.Through PCA,human activities and natural parent materials were identified as the two main sources of pollution,which were further refined into three pollution factors:transportation activities,industrial activities,and natural sources through PMF.The health risk assessment shows that although children face a higher risk of cancer,all assessed heavy metal cancer risks have not exceeded acceptable levels,indicating that the carcinogenic risk of heavy metals in the soil of the region to the public is acceptable.

soil heavy metal pollutionhealth risk assessmenturban soil

姚媛婷、刘明灵

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云南尘清环境监测有限公司,昆明 650301

土壤重金属污染 健康风险评价 城市土壤

2024

中国资源综合利用
徐州北矿金属循环利用研究所 中国物资再生协会

中国资源综合利用

CHSSCD
影响因子:0.358
ISSN:1008-9500
年,卷(期):2024.42(8)