A combined model method was used to identify the main influencing factors of soil heavy metal pollution sources in Qian river, China DOI Creative Commons
Yuru Li, Zihua Wang,

Leiyu Liu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 23, 2025

The issue of soil heavy metal contamination has garnered significant global attention, with the identification sources and their driving factors being crucial for prevention management pollution. This study introduces a comprehensive source-driver model integrating Positive Matrix Factorization (PMF) model, Geographically Weighted Regression (GWR), Geo-detector Model (GDM). Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was employed to quantify concentrations eight metals in soils lower reaches Qian River. findings revealed that: (1) average 8 did not exceed risk screening thresholds environmental quality. Specifically, mean Ni, Zn, As, Cd were 42.16, 102.07, 18.23, 0.32 mg kg-1, respectively, which are 1.46, 1.47, 3.7, 6.17 times higher than background values Shaanxi Province, exhibiting coefficient variation 0.58. high degree is attributed anthropogenic activities. Spatially, each more heavily concentrated southeastern northwestern regions area. (2) results PMF showed that area mainly came from nature, industry, agriculture, traffic, contribution source 19.12%, 23.42%, 36.85% 20.61%. Notably, agricultural emerged as predominant contributors pollution region. (3) GDM GWR distance village, type elevation main drivers provides reference analysis sources, can provide theoretical basis control

Язык: Английский

Heavy metal enrichment characteristics and synergistic evaluation in soil-crop-human systems of agricultural land with different soil parent materials DOI
Jialiang Li,

Jierui Dai,

Liyuan Yang

и другие.

Environmental Geochemistry and Health, Год журнала: 2025, Номер 47(3)

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

2
A combined model method was used to identify the main influencing factors of soil heavy metal pollution sources in Qian river, China DOI Creative Commons
Yuru Li, Zihua Wang,

Leiyu Liu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 23, 2025

The issue of soil heavy metal contamination has garnered significant global attention, with the identification sources and their driving factors being crucial for prevention management pollution. This study introduces a comprehensive source-driver model integrating Positive Matrix Factorization (PMF) model, Geographically Weighted Regression (GWR), Geo-detector Model (GDM). Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was employed to quantify concentrations eight metals in soils lower reaches Qian River. findings revealed that: (1) average 8 did not exceed risk screening thresholds environmental quality. Specifically, mean Ni, Zn, As, Cd were 42.16, 102.07, 18.23, 0.32 mg kg-1, respectively, which are 1.46, 1.47, 3.7, 6.17 times higher than background values Shaanxi Province, exhibiting coefficient variation 0.58. high degree is attributed anthropogenic activities. Spatially, each more heavily concentrated southeastern northwestern regions area. (2) results PMF showed that area mainly came from nature, industry, agriculture, traffic, contribution source 19.12%, 23.42%, 36.85% 20.61%. Notably, agricultural emerged as predominant contributors pollution region. (3) GDM GWR distance village, type elevation main drivers provides reference analysis sources, can provide theoretical basis control

Язык: Английский

Процитировано

0