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Spatiotemporal Differences and Ecological Risk Assessment of Heavy Metal Pollution of Roadside Plant Leaves in Baoji City, China

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  • Junhui Zhang

    (College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China
    Shaanxi Key Laboratory of Disasters Monitoring and Mechanism Simulation, Baoji University of Arts and Sciences, Baoji 721013, China)

  • Yunjiu Guan

    (College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China)

  • Qing Lin

    (College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China)

  • Yaxin Wang

    (College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China)

  • Bowen Wu

    (College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China)

  • Xin Liu

    (College of Geography and Environment, Baoji University of Arts and Sciences, Baoji 721013, China)

  • Bo Wang

    (College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China)

  • Dunsheng Xia

    (College of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, China)

Abstract

The concentration of heavy metals in plants’ leaves can effectively indicate the spatiotemporal differences of environmental pollution, providing a scientific basis for the monitoring of urban air quality. The concentration of Ni, Cu, Cd, Pb and Zn in the leaves of five different species ( Ophiopogon japonicus , Ligustrum vicaryi , Platanus acerifolia , Sophora japonica and Cedrus deodara ) were measured, which were from I, II, III, IV (0.05 m, 0.25 m, 1 m, 4 m) at different times (May and November) in the green belt of Baoji city. The degree of heavy metal pollution and potential ec ological risk were analyzed. The results revealed that the concentration of Zn, Cu and Pb in roadside plant leaves was relatively high. In May, the heavy metal concentration was the highest in the leaves of C. deodara , whereas this was the case for S. japonica in November. Arbors were more effective at capturing particles from the atmosphere than low plants. At the same height, areas with high levels of heavy metal pollution in May were basically the same as that in November, and areas with high levels of pollution were affected by traffic and industry. The pollution index and the comprehensive index of potential ecological risk of element Cd were the highest, indicating that the potential harm of Cd to the environment should receive more attention from the Government.

Suggested Citation

  • Junhui Zhang & Yunjiu Guan & Qing Lin & Yaxin Wang & Bowen Wu & Xin Liu & Bo Wang & Dunsheng Xia, 2022. "Spatiotemporal Differences and Ecological Risk Assessment of Heavy Metal Pollution of Roadside Plant Leaves in Baoji City, China," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5809-:d:813136
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    References listed on IDEAS

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    1. Robert Cichowicz & Maciej Dobrzański, 2021. "Modeling Pollutant Emissions: Influence of Two Heat and Power Plants on Urban Air Quality," Energies, MDPI, vol. 14(17), pages 1-18, August.
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