Journal article

Assessment and source apportionment of water-soluble heavy metals in road dust of Zhengzhou, China


Authors listFaisal, Muhammad; Wu, Zening; Wang, Huiliang; Hussain, Zafar; Azam, Muhammad Imran; Muzammil, Muhammad

Publication year2022

Pages68857-68869

JournalEnvironmental Science and Pollution Research

Volume number29

Issue number45

ISSN0944-1344

eISSN1614-7499

DOI Linkhttps://doi.org/10.1007/s11356-022-20666-4

PublisherSpringer


Abstract
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-geo), contamination factor (CF), and Nemerow synthetic pollution index (PIN) were calculated to assess the contamination level of water-soluble contents of these hazardous heavy metals. I-geo 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-geo, while the concentrations of three heavy metals, Cu, Cd, and Hg, were found to be extremely high or excessive. The results of the PIN 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.



Citation Styles

Harvard Citation styleFaisal, M., Wu, Z., Wang, H., Hussain, Z., Azam, M. and Muzammil, M. (2022) Assessment and source apportionment of water-soluble heavy metals in road dust of Zhengzhou, China, Environmental Science and Pollution Research, 29(45), pp. 68857-68869. https://doi.org/10.1007/s11356-022-20666-4

APA Citation styleFaisal, M., Wu, Z., Wang, H., Hussain, Z., Azam, M., & Muzammil, M. (2022). Assessment and source apportionment of water-soluble heavy metals in road dust of Zhengzhou, China. Environmental Science and Pollution Research. 29(45), 68857-68869. https://doi.org/10.1007/s11356-022-20666-4



Keywords


DONGTING LAKE WETLANDECOLOGICAL RISK-ASSESSMENTGeo-accumulation indexPOLLUTION ASSESSMENTPollution indicesPOSITIVE MATRIX FACTORIZATIONSEDIMENTSSOURCE IDENTIFICATIONSPATIAL-DISTRIBUTIONUNMIX

Last updated on 2025-02-04 at 00:09