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

被引:0
|
作者
Muhammad Faisal
Zening Wu
Huiliang Wang
Zafar Hussain
Muhammad Imran Azam
Muhammad Muzammil
机构
[1] Zhengzhou University,College of Water Conservancy Engineering
[2] Zhengzhou Key Laboratory of Water Resource and Environment,Water Resources Section
[3] Ministry of Planning,Hydrology Directorate
[4] Development & Special Initiatives,Institute for Landscape Ecology and Resources Management (ILR), Research Centre for Bio Systems, Land Use and Nutrition (IFZ)
[5] Ravi Urban Development Authority,undefined
[6] Justus Liebig University,undefined
关键词
Heavy metals; Pollution indices; Geo-accumulation index; Source apportionment; Spatial distribution; UNMIX;
D O I
暂无
中图分类号
学科分类号
摘要
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 (Igeo), 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. Igeo 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 Igeo, 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.
引用
收藏
页码:68857 / 68869
页数:12
相关论文
共 50 条
  • [21] The health risk assessment of Heavy Metals (HMs) in road dust based on Monte Carlo simulation and bio-toxicity: a case study in Zhengzhou, China
    Huina Zhu
    Xiaolong Liu
    Chunhong Xu
    Liangbo Zhang
    Hanyu Chen
    Fan Shi
    Ying Li
    Yongzhi Liu
    Baozhong Zhang
    [J]. Environmental Geochemistry and Health, 2021, 43 : 5135 - 5156
  • [22] Source identification and risk assessment of heavy metals in road dust of steel industrial city (Anshan), Liaoning, Northeast China
    Xiao, Qing
    Zong, Yutong
    Malik, Zaffar
    Lu, Shenggao
    [J]. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2020, 26 (05): : 1359 - 1378
  • [23] Sources Analysis and Health Risk Assessment of Heavy Metals in Street Dust from Urban Core of Zhengzhou, China
    Ren, Minghao
    Deng, Yali
    Ni, Wenshan
    Su, Jingjing
    Tong, Yao
    Han, Xiao
    Li, Fange
    Wang, Hongjian
    Zhao, Fei
    Huang, Xiaoxiao
    Huang, Zhiquan
    [J]. SUSTAINABILITY, 2024, 16 (17)
  • [24] The health risk assessment of Heavy Metals (HMs) in road dust based on Monte Carlo simulation and bio-toxicity: a case study in Zhengzhou, China
    Zhu, Huina
    Liu, Xiaolong
    Xu, Chunhong
    Zhang, Liangbo
    Chen, Hanyu
    Shi, Fan
    Li, Ying
    Liu, Yongzhi
    Zhang, Baozhong
    [J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2021, 43 (12) : 5135 - 5156
  • [25] Heavy metals in road dust across China: occurrence, sources and health risk assessment
    Huang, Fei
    Liu, Baolin
    Yu, Yong
    Lv, Linyang
    Luo, Xinyu
    Yin, Fangyuan
    [J]. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2022, 109 (02) : 323 - 331
  • [26] Heavy metals in road dust across China: occurrence, sources and health risk assessment
    Fei Huang
    Baolin Liu
    Yong Yu
    Linyang Lv
    Xinyu Luo
    Fangyuan Yin
    [J]. Bulletin of Environmental Contamination and Toxicology, 2022, 109 : 323 - 331
  • [27] Characteristics and Source Analysis of Water-Soluble Ions in PM2.5 in Zhengzhou
    Yang, Liu-Ming
    Wang, Shen-Bo
    Hao, Qi
    Han, Shi-Jie
    Li, Chen
    Zhao, Qing-Yan
    Yan, Qi-She
    Zhang, Rui-Qin
    [J]. Huanjing Kexue/Environmental Science, 2019, 40 (07): : 2977 - 2984
  • [28] Source apportionment and risk assessment of heavy metals in typical greenhouse vegetable soils in Shenyang, China
    Xu Zhang
    Xueying Song
    Huiyu Zhang
    Yushuang Li
    Yongxia Hou
    Xiaoxu Zhao
    [J]. Environmental Monitoring and Assessment, 2024, 196
  • [29] Source apportionment and specific risk assessment of heavy metals in sediment: Application to the Typical Bay, China
    Cheng, Jiayi
    Wang, Xiaomeng
    Kong, Lingna
    Li, Yuxia
    Han, Jianbo
    Zhang, Xiaoxia
    [J]. REGIONAL STUDIES IN MARINE SCIENCE, 2022, 54
  • [30] Source apportionment of environmentally persistent free radicals (EPFRs) and heavy metals in size fractions of urban arterial road dust
    Feng, Wenli
    Zhang, Yongfang
    Huang, Liangliang
    Li, Yunlin
    Wang, Shuge
    Zheng, Yi
    Shi, Lei
    Xu, Ke
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 157 : 352 - 361