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Spatial Distribution and Health Risk Assessment of Heavy Metals in Urban Road Dust of Guiyang, China


Affiliations
1 School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China
 

Due to rapid urbanization and industrialization, most of the cities are increasingly getting diversely polluted. Pollution from heavy metals is continuously emitted in to urban environment and poses potential adverse health effects on humans. A detailed investigation is conducted to determine concentrations of six heavy metals (Pb, Cu, Zn, Cd, Cr, Ni) in urban road dust of Guiyang. The selected metals spatial distribution analysis based on geostatistical analysis, and assessed potential health risk of these heavy metals for children and adults were carried out using the US EPA model. The results show that the mean concentrations of Cd, Pb, Cr, Cu, Ni and Zn in urban road dust are 0.61, 63.12, 129.04, 129.33, 60.43 and 176.05 mg/kg, respectively, indicating that their concentrations are evidently higher than reference values. The predication map of metals distribution reveals that the relatively large concentrations of Pb, Zn, Cr, Cd and Cu are existed in the city center, while the hotspots of Ni are concentrated in the east of the city center. The health risk assessment results show that children and adults have the same trend that the mean values of Ding exhibit the following order: Zn>Cu>Cr>Pb>Ni>Cd, and the mean values of HQ are in the order of Cr>Pb>Cu>Ni>Cd>Zn. However, the Ding and HQ values of selected heavy metals for children are much higher than those for adults, indicating that children suffer greater potential health risk than adults due to the urban road dust of Guiyang.

Keywords

Road Dust, Heavy Metals, Spatial Distribution, Health Risk Assessment, Guiyang.
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  • Spatial Distribution and Health Risk Assessment of Heavy Metals in Urban Road Dust of Guiyang, China

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Authors

Zhibin Duan
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China
Ji Wang
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China
Bin Xuan
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China
Xiongfei Cai
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China
Yixiu Zhang
School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China

Abstract


Due to rapid urbanization and industrialization, most of the cities are increasingly getting diversely polluted. Pollution from heavy metals is continuously emitted in to urban environment and poses potential adverse health effects on humans. A detailed investigation is conducted to determine concentrations of six heavy metals (Pb, Cu, Zn, Cd, Cr, Ni) in urban road dust of Guiyang. The selected metals spatial distribution analysis based on geostatistical analysis, and assessed potential health risk of these heavy metals for children and adults were carried out using the US EPA model. The results show that the mean concentrations of Cd, Pb, Cr, Cu, Ni and Zn in urban road dust are 0.61, 63.12, 129.04, 129.33, 60.43 and 176.05 mg/kg, respectively, indicating that their concentrations are evidently higher than reference values. The predication map of metals distribution reveals that the relatively large concentrations of Pb, Zn, Cr, Cd and Cu are existed in the city center, while the hotspots of Ni are concentrated in the east of the city center. The health risk assessment results show that children and adults have the same trend that the mean values of Ding exhibit the following order: Zn>Cu>Cr>Pb>Ni>Cd, and the mean values of HQ are in the order of Cr>Pb>Cu>Ni>Cd>Zn. However, the Ding and HQ values of selected heavy metals for children are much higher than those for adults, indicating that children suffer greater potential health risk than adults due to the urban road dust of Guiyang.

Keywords


Road Dust, Heavy Metals, Spatial Distribution, Health Risk Assessment, Guiyang.

References