College of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China.
Zhengzhou Key Laboratory of Water Resource and Environment, Zhengzhou, Henan, 450001, People's Republic of China.
Environ Sci Pollut Res Int. 2022 Sep;29(45):68857-68869. doi: 10.1007/s11356-022-20666-4. Epub 2022 May 12.
The water-soluble concentration of heavy metals in road dust poses a considerable hazard to public health. The primary goals of the study were estimation of water-soluble contents of heavy metal, estimation of pollution indices, and source apportionment of water-soluble contents of heavy metals using UNMIX model from the road dust of Zhengzhou city. To accomplish this, inductively coupled plasma atomic emission spectroscopy (ICP-AES) was used to determine concentrations of eight heavy metals (Cr, Cu, Ni, Zn, Cd, As, Pb, and Hg), and it has been observed that Cu and Zn were the metals with the highest concentration, while Hg, Cd, and Pb were in the lowest concentration range of metals. Pollution indices, geo-accumulation index (I), contamination factor (CF), and Nemerow synthetic pollution index (PI) were calculated to assess the contamination level of water-soluble contents of these hazardous heavy metals. I classified the contamination risk into a spectrum of categories ranging from unpolluted (Cr and Pb) to high polluted (Cu and Cd). For the CF results, the concentration of Cr and Pb was found to be low, similar to I, while the concentrations of three heavy metals, Cu, Cd, and Hg, were found to be extremely high or excessive. The results of the PI assessment indicated that there was an enormous risk of Hg contamination in the city and that Cu, Cd, and Zn were all within a few percent of the Hg pollution level and hence fell into the high pollution group. The UNMIX model was used for source apportionment of dissolved heavy metals and showed: Source 1 (natural sources, 10%), Source 2 (copper mine tailing contamination, 19%), and Source 3 (agricultural activities22%). Source 4 accounted for (air pollution, 15%) of the total and Source 5 accounted for (industrial activity, 34%). It is imperative that immediate and comprehensive pollution control and preventive measures be implemented in the city due to the presence of metal in the dust.
道路灰尘中重金属的水溶性浓度对公众健康构成了相当大的危害。本研究的主要目的是估算郑州市道路灰尘中重金属的水溶性含量,估算污染指数,并利用 UNMIX 模型对重金属的水溶性含量进行源分配。为此,采用电感耦合等离子体原子发射光谱法(ICP-AES)测定了 8 种重金属(Cr、Cu、Ni、Zn、Cd、As、Pb 和 Hg)的浓度,结果表明,Cu 和 Zn 是浓度最高的金属,而 Hg、Cd 和 Pb 是浓度最低的金属。采用地积累指数(I)、污染因子(CF)和内梅罗综合污染指数(PI)等污染指数来评价这些有害重金属水溶性含量的污染程度。我们将污染风险分为从无污染(Cr 和 Pb)到高污染(Cu 和 Cd)的一系列类别。对于 CF 的结果,发现 Cr 和 Pb 的浓度较低,与 I 相似,而 Cu、Cd 和 Hg 的浓度则极高或过高。PI 评估的结果表明,该城市存在 Hg 污染的巨大风险,Cu、Cd 和 Zn 的污染程度都在 Hg 污染水平的百分之几以内,因此属于高污染组。利用 UNMIX 模型对溶解态重金属进行源分配,结果表明:来源 1(自然源,10%)、来源 2(铜矿尾矿污染,19%)和来源 3(农业活动,22%)。来源 4 占(空气污染,15%),来源 5 占(工业活动,34%)。由于灰尘中存在金属,必须立即在全市范围内实施全面的污染控制和预防措施。