A review on toxic metal pollution and source-oriented risk apportionment in road dust of a highly polluted megacity in Bangladesh

被引:0
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作者
Ram Proshad
Hridoy Chandra Dey
Sadia Afroz Ritu
Artho Baroi
Md Shihab Uddine Khan
Maksudul Islam
Abubakr M. Idris
机构
[1] Chinese Academy of Sciences,Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment
[2] University of Chinese Academy of Sciences,Faculty of Agriculture
[3] Patuakhali Science and Technology University,Department of Crop Botany
[4] Bangladesh Agricultural University,Department of Environmental Science
[5] Patuakhali Science and Technology University,Department of Chemistry, College of Science
[6] King Khalid University,Research Center for Advanced Materials Science (RCAMS)
[7] King Khalid University,undefined
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关键词
Heavy metals; Road dust; PMF model; NIRI; Bangladesh;
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摘要
Heavy metal enrichment in road dust has resulted from intensive anthropogenic activity, particularly urbanization, industrial activities and traffic emission, posing a hazard to urban ecosystems and human health. To promote optimal road dust management in urban environments, it is necessary to assess the possible ecological and health impact of toxic elements in road dust. In a heavily populated megacity like Dhaka, Bangladesh, large-scale risk assessments of contamination in road dust with heavy metals are limited. The present study aims at presenting a concentration of twenty-five metals in road dust (Na, K, Cs, Rb, Mg, Ca, Sr, Ba, Al, Zn, Cd, Pb, As, Sb, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zr and W) in Dhaka megacity. We used a critical source-based positive matrix factorization model, source-oriented potential ecological risks and health risks. Out of the studied metals, Na, Ca, Zn, Cd, Cu, Zr and W exceeded the shale value. About 73%, 48%, 29% and 32% of sampling sites showed a higher level of pollution based on PLI, NIPI, PER and NIRI, respectively. PMF model identified that Cd (85.3%), Cr (62.4%), Ni (58.2%), Zn (81.8%) and Mn (65.9%) in road dust were primarily attributed to traffic emission, fuel combustion, metal processing, transport sources and natural sources, respectively. Fuel combustion and metal processing posed considerable and high risks based on modified potential ecological risk and NIRI. Based on health hazards, traffic emission posed a high cancer risk in adult males (29%), whereas transport sources contributed to females (21%) and children (23%).
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页码:2729 / 2762
页数:33
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  • [1] A review on toxic metal pollution and source-oriented risk apportionment in road dust of a highly polluted megacity in Bangladesh
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    Baroi, Artho
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    Islam, Maksudul
    Idris, Abubakr M.
    [J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2023, 45 (06) : 2729 - 2762
  • [2] Heavy metal pollution of road dust in a city and its highly polluted suburb; quantitative source apportionment and source-specific ecological and health risk assessment
    Heidari, Mohsen
    Darijani, Tooba
    Alipour, Vali
    [J]. CHEMOSPHERE, 2021, 273
  • [3] Source-oriented risks apportionment of toxic metals in river sediments of Bangladesh: a national wide application of PMF model and pollution indices
    Ram Proshad
    Hridoy Chandra Dey
    Md Shihab Uddine Khan
    Artho Baroi
    Sazal Kumar
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    [J]. Environmental Geochemistry and Health, 2023, 45 : 6769 - 6792
  • [4] Soil potentially toxic element pollution at different urbanization intensities: Quantitative source apportionment and source-oriented health risk assessment
    Li, Xinyun
    Li, Lulu
    Zhou, Zijun
    Li, Ting
    An, Ji
    Zhang, Shirong
    Xu, Xiaoxun
    Pu, Yulin
    Wang, Guiyin
    Jia, Yongxia
    Liu, Xiaojing
    Li, Yun
    [J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2023, 251
  • [5] Source-oriented risks apportionment of toxic metals in river sediments of Bangladesh: a national wide application of PMF model and pollution indices
    Proshad, Ram
    Dey, Hridoy Chandra
    Khan, Md Shihab Uddine
    Baroi, Artho
    Kumar, Sazal
    Idris, Abubakr M. M.
    [J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2023, 45 (09) : 6769 - 6792
  • [6] Source apportionment of air pollution in urban areas: a review of the most suitable source-oriented models
    S. Coelho
    J. Ferreira
    M. Lopes
    [J]. Air Quality, Atmosphere & Health, 2023, 16 : 1185 - 1194
  • [7] Source apportionment of air pollution in urban areas: a review of the most suitable source-oriented models
    Coelho, S.
    Ferreira, J.
    Lopes, M.
    [J]. AIR QUALITY ATMOSPHERE AND HEALTH, 2023, 16 (06): : 1185 - 1194
  • [8] Heavy metal fraction, pollution, and source-oriented risk assessment in biofilms on a river system polluted by mining activities
    Xu, Hansen
    Li, Chunyan
    Wen, Chen
    Zhu, Shijun
    Zhu, Shiqi
    Li, Nihong
    Li, Rufei
    Luo, Xia
    [J]. CHEMOSPHERE, 2023, 322
  • [9] Spatial distribution, risk estimation and source apportionment of potentially toxic metal(loid)s in resuspended megacity street dust
    Fan, Peng
    Lu, Xinwei
    Yu, Bo
    Fan, Xinyao
    Wang, Lingqing
    Lei, Kai
    Yang, Yufan
    Zuo, Ling
    Rinklebe, Joerg
    [J]. ENVIRONMENT INTERNATIONAL, 2022, 160
  • [10] Source apportionment and health risk assessment of potentially toxic elements in road dust from urban industrial areas of Ahvaz megacity, Iran
    Najmeddin, Ali
    Keshavarzi, Behnam
    Moore, Farid
    Lahijanzadeh, Ahmadreza
    [J]. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2018, 40 (04) : 1187 - 1208