Liu Zonglai, Li Jinying, Chen Yanan, Zhang Fengjun, Feng Wei
College of Jilin Emergency Management, Changchun Institute of Technology, Changchun 130012, China.
College of Energy and Environment, Jilin University, Changchun 130026, China.
Toxics. 2025 Jan 15;13(1):59. doi: 10.3390/toxics13010059.
Heavy metal pollution in agricultural soils poses a serious threat to food security. Therefore, it is crucial to conduct risk assessments and issue early warnings about high levels of metal contamination for the sustained prosperity of agriculture. To assess the risks, identify the sources, quantify the amounts, and determine the extent of pollution from seven heavy metals, as well as to provide early warnings, 78 soil samples were collected from farmed lands in the Songnen Plain of Jilin Province. The average concentrations of Zn, Cu, Mn, Pb, Cd, Ni, and As were found to be 2.05, 1.5, 0.2, 1.09, 2.68, 1.53, and 1.17 times higher than the background values of Chinese soils, respectively. Source analysis indicated that toxic Pb originates from vehicle exhaust emission, while Cd, Cu, and Ni are attributed to industrial activities. Zn and As are likely associated with agricultural practices, and Mn predominantly stems from natural environmental sources. The geo-accumulation index suggests relatively high, accumulation levels for Zn, Cu, Mn, and Pb. Meanwhile, the single-factor pollution index indicates elevated pollution levels of Zn, Cu, and Cd. Potential ecological risk assessment reveals that certain areas within Changchun and Baicheng cities exhibit higher ecological risks. Notably, Cd has the highest potential ecological risk index (RI) of the seven heavy metals and warrants special attention. By analyzing annual pollutant accumulations, predictions can be made about the heavy metal content in four cities within the Songnen Plain, enabling the issuance of early warnings regarding soil heavy metal risks. The findings suggest that without proactive measures to mitigate heavy metal accumulation in soils, Changchun and Songyuan will reach severe pollution levels by 2031 and 2029, respectively.
农业土壤中的重金属污染对粮食安全构成严重威胁。因此,为了农业的持续繁荣,对高水平金属污染进行风险评估并发布早期预警至关重要。为了评估风险、识别来源、量化含量并确定七种重金属的污染程度,以及提供早期预警,从吉林省松嫩平原的农田采集了78个土壤样本。结果发现,锌、铜、锰、铅、镉、镍和砷的平均浓度分别比中国土壤背景值高2.05倍、1.5倍、0.2倍、1.09倍、2.68倍、1.53倍和1.17倍。来源分析表明,有毒的铅来自汽车尾气排放,而镉、铜和镍则归因于工业活动。锌和砷可能与农业活动有关,锰主要源于自然环境来源。地累积指数表明锌、铜、锰和铅的累积水平相对较高。同时,单因子污染指数表明锌、铜和镉的污染水平升高。潜在生态风险评估显示,长春市和白城市的某些地区呈现出较高的生态风险。值得注意的是,镉在七种重金属中具有最高的潜在生态风险指数(RI),值得特别关注。通过分析年度污染物累积量,可以预测松嫩平原四个城市的重金属含量,从而发布关于土壤重金属风险的早期预警。研究结果表明,如果不采取积极措施减轻土壤中的重金属累积,长春和松原将分别在2031年和2029年达到严重污染水平。