Ecological risk assessment and source identification of heavy metal pollution in vegetable bases of Urumqi, China, using the positive matrix factorization (PMF) method.

Mireadili Kuerban,Yizaitiguli Waili,Balati Maihemuti,Tuerxun Tuerhong,Sartaj Ahmad Bhat

doi:10.1371/journal.pone.0230191

Mireadili Kuerban, Yizaitiguli Waili + Show 3 more

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https://doi.org/10.1371/journal.pone.0230191

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Abstract

Heavy metal pollution is a widespread problem and strongly affects human health through the food chain. In this study, the overall pollution situation and source apportionment of heavy metals in soil (Hg, Cd, As, Pb, Ni, Zn, Cu and Cr) were evaluated using various methods including geo-accumulation index (Igeo), potential ecological risk index (RI) and positive matrix factorization combined with Geographical Information System (GIS) to quantify and identify the possible sources to these heavy metals in soils. The results of Igeo showed that this farmland top soil moderate contaminated by Hg, other selected elements with noncontamination level. And the average RI in the top soil was 259.89, indicating a moderate ecological risk, of which Hg and Cd attributed 88.87% of the RI. The results of the PMF model showed that the relative contributions of heavy metals due to atmospheric depositions (18.70%), sewage irrigations (21.17%), soil parent materials (19.11%), industrial and residential coal combustions (17.43%) and agricultural and lithogenic sources (23.59%), respectively. Of these elements, Pb and Cd were came from atmospheric deposition. Cr was attributed to sewage irrigations. As was mainly derived from the soil parent materials. Hg originated from industrial and residential coal combustions, and most of the Cu, Zn and Ni, except for Pb, were predominantly derived from agricultural and lithogenic sources. These results are important in considering management plans to control the aggravation of heavy metal pollution and ultimately to protect soil resources in this region. In addition, this study enhances the understanding of heavy metal contamination occurrence in agroecosystem that helps predicting and limiting the potential of heavy metal exposure to people and ecosystem.

Highlights

The accumulation of heavy metals in soils leads to a decline in the production and quality of agricultural yield and poses a serious threat to human health through the food chain, as their detrimental impact appears after several years of exposure [1]
Various approaches including the geo-accumulation index and ecological risk index were used to investigate the lateral distribution of the heavy metal risk
The positive matrix factorization (PMF) analysis revealed that Pb and Cd were dominated by atmospheric deposition, with contributions of 48.50 and 55.90%, respectively; 48.50% of the Pb concentration was controlled by atmospheric deposition, and Pb from agro-lithogenic sources accounted for 36.30%

Summary

Introduction

The accumulation of heavy metals in soils leads to a decline in the production and quality of agricultural yield and poses a serious threat to human health through the food chain, as their detrimental impact appears after several years of exposure [1]. The high level of accumulation of heavy metals in vegetable fields directly changes the physical and chemical properties of the soil and leads to the decline in the vegetable quality and variety [11]. Such effects are likely to bring about potential risks to both human health through the food chain and environmental quality and safety through secondary pollution [12]. We using the positive matrix factorization (PMF) method to fully identify the possible different pollution sources and relative contributions of the eight heavy metals

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Conclusion