Abstract

Rapid urbanization and industrialization have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollution sources in this region remain unclear. This study was conducted to document the pollution caused by heavy metals in the Poyang Lake region through sampling that consisted of the collection of 215 soil samples from agricultural fields. The UNMIX model provided identification of the sources causing heavy metal pollution and source contributions to soil pollution. ArcGIS was used to study the spatial distribution of the eleven heavy metals and to validate the apportionment of pollution sources provided by the UNMIX model. Soil concentrations of heavy metals were above the local background concentrations. The average content of eight heavy metals, including Cd, Mo, Zn, Cu, Sb, W, Pb, and Ni, was approximately 1–6 times greater than natural background levels (6.91, 2.0, 1.67, 1.53, 1.23, 1.38, 1.11, and 1.24, respectively), while the average content of V, Cr, and Co was lower than natural background levels. The average contents of Cr, Ni, Cu, Zn, Cd, and Pb were all lower than the screening levels for unacceptable risks in agricultural land soils. The percentage of Cd content exceeded the risk screening value in all sampling sites, up to 55%, indicating that agricultural soils may significantly be affected by cadmium contamination. Five pollution sources of heavy metals were identified: natural sources, copper mine tailings, agricultural activities, atmospheric depositions, and industrial activities. The contribution rates of the pollution sources were 7%, 13%, 20%, 29%, and 31%, respectively. The spatial pattern of heavy metals was closely aligned with the outputs of the UNMIX model. The foregoing supports the utility of the UNMIX model for the identification of pollution sources of heavy metals, apportionment study, and its implementation in agricultural soils in the Poyang Lake region.

Highlights

  • After severe events of atmospheric and water pollution in China, awareness of the importance of soil pollution and its consequence on public health is increasing [1]

  • The statistical characteristics of 11 heavy metal and the respective contents detected in 215 samples of agricultural soils collected around the Poyang Lake area are shown in

  • The average contents of the remaining eight heavy metals were all higher than the background values

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Summary

Introduction

After severe events of atmospheric and water pollution in China, awareness of the importance of soil pollution and its consequence on public health is increasing [1]. The prevention and treatment of heavy metal pollution in agricultural soil urgently requires an accurate analysis of its source distribution. Spatial Distribution Characteristics of Heavy Metals in Agricultural Soils. The coefficients of variation for Cd, W, and Cu all exceeded 50%, especially for Cd which had the highest coefficient of variation (CV = 61%), while other heavy metals had lower coefficients of variation, ranging between 15% and 45%. Both the spatial distribution of W and the content of. An enrichment in the content of Cr, Zn, W, and Pb was observed in Nanchang County, which is in the Changjiu Industrial Corridor

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