Li Yingmei, Wang Sheng, Shang Xiaoyan, Zhou Hongyin, He Jianyang, Chen Wen, Wang Lijuan, Zhao Xiangmei, Bao Li, Zhang Naiming
College of Resources and Environment, Yunnan Agricultural University, Kunming, 650201, China.
College of Biology and Chemistry, Pu'er University, Pu'er, 665000, China.
Sci Rep. 2025 Sep 1;15(1):32213. doi: 10.1038/s41598-025-16520-5.
The genesis of heavy metal contamination in arable soils is complex, and scientifically identifying risks and precisely analyzing contamination sources are essential for safely using contaminated arable land. In this study, we systematically evaluated the pollution characteristics of Cu, Zn, As, Hg, Cd, Pb, Ni, and Cr in soil, and then applied the APCS-MLR and PMF models to jointly analyze pollution sources and their contributions. The results showed that the concentrations of the eight heavy metals were significantly higher than the background values for soils in Yunnan Province, exhibiting clear spatial heterogeneity. The overall pollution level ranged from mild to severe, with Cd and Pb being the most critical contaminants. Four major pollution sources (industrial transportation, parent material, agriculture, and mining) were identified through the dual modeling approach. The results of both models corroborated each other, and the accuracy of the analysis was significantly improved compared to using a single method. This study not only provides a scientific basis for the safe utilization of contaminated arable land in western Yunnan, an area with a complex genesis of soil contamination, but also offers a generalized framework for source analysis in areas affected by geological-anthropogenic composite pollution.
耕地土壤中重金属污染的成因复杂,科学识别风险并精确分析污染源对于安全利用受污染耕地至关重要。在本研究中,我们系统评估了土壤中铜、锌、砷、汞、镉、铅、镍和铬的污染特征,然后应用绝对主成分得分-多元线性回归(APCS-MLR)和正定矩阵因子分解(PMF)模型联合分析污染源及其贡献。结果表明,这八种重金属的浓度显著高于云南省土壤背景值,呈现出明显的空间异质性。总体污染水平从轻度到重度不等,镉和铅是最关键的污染物。通过双重建模方法确定了四个主要污染源(工业交通、母质、农业和采矿)。两个模型的结果相互印证,与使用单一方法相比,分析的准确性显著提高。本研究不仅为土壤污染成因复杂的滇西地区受污染耕地的安全利用提供了科学依据,也为受地质-人为复合污染影响地区的源分析提供了一个通用框架。