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Multivariate Statistical Methods and GIS-Based Evaluation of Potable Water in Urban Children’s Parks Due to Potentially Toxic Elements Contamination: A Children’s Health Risk Assessment Study in a Developing Country

Author

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  • Junaid Ghani

    (Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy)

  • Javed Nawab

    (Department of Environmental Sciences, Kohat University of Science and Technology, Kohat 26000, Pakistan)

  • Zahid Ullah

    (School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China)

  • Naseem Rafiq

    (Department of Zoology, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan)

  • Shah Zaib Hasan

    (Faculty of Environmental Sciences, Czech University of Life Sciences Prague, 16500 Prague, Czech Republic)

  • Sardar Khan

    (Department of Environmental Sciences, University of Peshawar, Peshawar 25120, Pakistan)

  • Muddaser Shah

    (Department of Botany, Abdul Wali Khan University, Mardan 23200, Pakistan
    Natural and Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman)

  • Mikhlid H. Almutairi

    (Zoology Department, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia)

Abstract

Contamination of potentially toxic elements (PTEs) has received widespread attention in urban children’s parks (UCPs) worldwide in the past few decades. However, the risk assessment of PTEs in drinking water sources of UCPs is still unknown particularly in developing countries. Hence, the present study investigated the spatial distribution, sources for PTEs (Cd, Cr, Pb, Ni, and Cu), and health risk assessment in drinking water sources of UCPs in Khyber Pakhtunkhwa, Pakistan. Among PTEs, Cd, Cr, and Pb had low to high concentrations and exceeded the safe limits of WHO and PAK-EPA in most UCPs. PCA results showed high anthropogenic and low natural sources, contributing to the release of PTEs in all UCPs. Heavy-metal pollution index (PTE-PI) results showed low to high pollution levels for all UCPs, with the highest values of 113 and 116 for Sardaryab Park Charsadda (SPC) and Zoo Park Peshawar (ZPP), respectively. Heavy-metal evaluation index (PTE-EI) results also showed low to high pollution levels for all UCPs. UCPs samples (50%) showed low pollution levels in PTE-PI results. To the contrary, UCPs samples (50%) exhibited high pollution levels in PTE-EI results. The non-carcinogenic risk of HQ and HI values of all PTEs were below the permissible limit (<1) for adults and children via ingestion and dermal contact. CR and TCR results showed that PTEs (Cr, Cd, Pb, and Ni) had the highest carcinogenic risk (>1.00 × 10 −4 ) for both adults and children in all UCPs, except Cd and Ni for adults via the ingestion route, while Cr values (>1.00 × 10 −4 ) were exceeded for children in some of the UCPs via the dermal route. Consequently, long-term exposure to toxic PTEs could pose a carcinogenic risk to the local population. Thus, the present study suggests that the government should implement enforcement with firm protocols and monitoring guidelines of environmental regulations to mitigate PTEs originating from anthropogenic sources in order to reduce health risks and improve public health safety in urban areas.

Suggested Citation

  • Junaid Ghani & Javed Nawab & Zahid Ullah & Naseem Rafiq & Shah Zaib Hasan & Sardar Khan & Muddaser Shah & Mikhlid H. Almutairi, 2023. "Multivariate Statistical Methods and GIS-Based Evaluation of Potable Water in Urban Children’s Parks Due to Potentially Toxic Elements Contamination: A Children’s Health Risk Assessment Study in a Dev," Sustainability, MDPI, vol. 15(17), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13177-:d:1231322
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    References listed on IDEAS

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    1. Huanhuan Shi & Min Zeng & Hongxia Peng & Changsheng Huang & Huimin Sun & Qingqin Hou & Pengcheng Pi, 2022. "Health Risk Assessment of Heavy Metals in Groundwater of Hainan Island Using the Monte Carlo Simulation Coupled with the APCS/MLR Model," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
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