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Assessment of Soil Potentially Toxic Metal Pollution in Kolchugino Town, Russia: Characteristics and Pollution

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  • Inna Z. Kamanina

    (Department of Ecology and Earth Sciences, Faculty of Natural and Engineering Sciences, Dubna State University, 141980 Dubna, Russia
    Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia)

  • Wael M. Badawy

    (Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
    Radiation Protection and Civil Defense Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 13759, Egypt)

  • Svetlana P. Kaplina

    (Flerov Laboratory of Nuclear Reactions, Joint Institute for Nuclear Research, 141980 Dubna, Russia)

  • Oleg A. Makarov

    (Faculty of Soil Science, Lomonosov Moscow State University, 119991 Moscow, Russia)

  • Sergey V. Mamikhin

    (Faculty of Soil Science, Lomonosov Moscow State University, 119991 Moscow, Russia)

Abstract

The present study was carried out to describe the characteristic features of potentially toxic metals (PTMs) in the soil of industrial city, Kolchugino–Vladimir Region–Russia. The mass fractions in mg/kg of Cu, Pb, Zn, and Cd were measured by atomic absorption spectrometer (AAS). Multivariate statistical analysis and hierarchical cluster analysis (HCA), were performed. The obtained results of the potentially toxic elements were mapped using ArcGIS. A total of four pollution indices were calculated to identify the areas with significant pollution associations. The data analysis showed that locations 14 (urban area) and 16 (non-ferrous metallurgy plant) contribute significantly to pollution. Maximum likelihood method was used to classify the land-use and land-cover (LULC). The analysis shows that locations 14 and 16 are belonging to the industrial area on LULC. Great attention should be paid to the control and regulation of waste disposal into the environment, which in turn, has an adversely impact on human health. By using the data, it could help to identify areas where waste control measures need to be implemented, such as increasing recycling or introducing more waste control legislation. It could also help to identify areas where waste control efforts have been successful. Data can be used by government, policymakers, and stakeholders for future planning and R&D activities.

Suggested Citation

  • Inna Z. Kamanina & Wael M. Badawy & Svetlana P. Kaplina & Oleg A. Makarov & Sergey V. Mamikhin, 2023. "Assessment of Soil Potentially Toxic Metal Pollution in Kolchugino Town, Russia: Characteristics and Pollution," Land, MDPI, vol. 12(2), pages 1-16, February.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:439-:d:1061916
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    References listed on IDEAS

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    1. Shuangmei Tong & Hairong Li & Li Wang & Muyesaier Tudi & Linsheng Yang, 2020. "Concentration, Spatial Distribution, Contamination Degree and Human Health Risk Assessment of Heavy Metals in Urban Soils across China between 2003 and 2019—A Systematic Review," IJERPH, MDPI, vol. 17(9), pages 1-22, April.
    2. Xiaoli Zhou & Qin Chen & Chang Liu & Yanming Fang, 2017. "Using Moss to Assess Airborne Heavy Metal Pollution in Taizhou, China," IJERPH, MDPI, vol. 14(4), pages 1-13, April.
    3. Mohamed K. Abdel-Fattah & Elsayed Said Mohamed & Enas M. Wagdi & Sahar A. Shahin & Ali A. Aldosari & Rosa Lasaponara & Manal A. Alnaimy, 2021. "Quantitative Evaluation of Soil Quality Using Principal Component Analysis: The Case Study of El-Fayoum Depression Egypt," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
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