School of Public Affairs, Institute of Land Science and Property, Zhejiang University, Hangzhou 310058, China.
Zhejiang Land Consolidation and Rehabilitation Center, Hangzhou 310007, China.
Int J Environ Res Public Health. 2022 Mar 11;19(6):3335. doi: 10.3390/ijerph19063335.
In this research, Ningbo City, a typical industrial city in southeastern China, was selected as the study area, and the concentrations of 12 heavy metals (Cd, Cr, Ni, Pb, Zn, Cu, Hg, As, Co, V, Se, and Mn) were measured at 248 sampling points. Pollution index methods were used to assess the status of soil heavy metal contamination, and the Positive Matrix Factorization (PMF) model and Unmix model were integrated to identify and apportion the sources of heavy metal contamination. The results indicated that nearly 70% of the study area was polluted by heavy metals, and that Ni, Cr, and Zn were the main enriched heavy metals. The five sources identified using the PMF model were a geological source, an atmospheric deposition source, a transportation emissions source, a mixed source of agriculture and industry, and a mixed source of geology and industry. The four sources identified using the Unmix model were a mixed source of geology, agriculture, and industry (14.27%); a transportation emissions source (4.76%); a geological source (14.7%); and a mixed source of geology and industry (66.28%). These results have practical significance, as they can help to carry out pollution source risk assessment and give priority to the management of pollution source control.
在这项研究中,选择中国东南部典型工业城市宁波市作为研究区域,在 248 个采样点测量了 12 种重金属(Cd、Cr、Ni、Pb、Zn、Cu、Hg、As、Co、V、Se 和 Mn)的浓度。采用污染指数法评估土壤重金属污染状况,并结合正定矩阵因子分解(PMF)模型和混合模型识别和分配重金属污染来源。结果表明,研究区近 70%的区域受到重金属污染,Ni、Cr 和 Zn 是主要的富集重金属。PMF 模型识别出的 5 个污染源分别为地质源、大气沉降源、交通排放源、农业和工业混合源以及地质和工业混合源。Unmix 模型识别出的 4 个污染源分别为地质、农业和工业混合源(14.27%)、交通排放源(4.76%)、地质源(14.7%)和地质和工业混合源(66.28%)。这些结果具有实际意义,因为它们有助于进行污染源风险评估,并优先考虑污染源控制管理。