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<p>Despite the global pervasiveness of plastic pollution, research on identifying plastic contaminant zones remains limited, despite recent findings indicating widespread contamination across air, water, and soil. This study introduced an innovative methodology for identifying plastic contaminant zones by integrating Fuzzy Analytic Hierarchy Process with a decision support algorithm. Thirteen crucial geo-environmental and anthropogenic factors, including Runoff, Land Use/Land Cover, Air Quality Index, Normalized Difference Built-up Index (NDBI), Population Density, Tourist Sites, Dumping Grounds, Hospital Sites, Industrial Sites, Market Locations, Wastewater Treatment Plants, Road, and Canal Networks, are weighted using the proposed technique. The resulting map delineated plastic contaminant zones into categories of very high (12.93%), high (19.08%), moderate (25%), low (28.20%), and very low (14.80%) concentrations. Validation against socio-environmental indicators, focusing on Kolkata Metropolitan Development Authority’s contribution to SDG 3 (Good Health and Well-being), underscores the model’s effectiveness. Among the 4 Municipal Corporation, 37 Municipalities and 23 Panchayat Samities, Kolkata Municipal Corporation stands out with 51.69% of very high plastic contaminant zones, characterized by the lowest Total fertility rate (1.2 in 2011) and the highest dengue cases (4425 in 2023) as major implications of it. A soil sample was collected from a dumping site to check for the presence of plastic particles, revealing 70 plastic items within 500&#xa0;g of soil. This systematic research approach not only provides actionable insights for municipal governments but also offers valuable guidance for regional and global researchers and policymakers.</p>

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Implementing a GIS-based approach for identifying plastic contaminant zones concerning SDGs: a case study of Kolkata metropolitan development authority

  • 期刊论文

  • 发表日期：

    2025年4月28日

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  • Sudipa Halder,
  • Binod Kumar Singh

摘要

Despite the global pervasiveness of plastic pollution, research on identifying plastic contaminant zones remains limited, despite recent findings indicating widespread contamination across air, water, and soil. This study introduced an innovative methodology for identifying plastic contaminant zones by integrating Fuzzy Analytic Hierarchy Process with a decision support algorithm. Thirteen crucial geo-environmental and anthropogenic factors, including Runoff, Land Use/Land Cover, Air Quality Index, Normalized Difference Built-up Index (NDBI), Population Density, Tourist Sites, Dumping Grounds, Hospital Sites, Industrial Sites, Market Locations, Wastewater Treatment Plants, Road, and Canal Networks, are weighted using the proposed technique. The resulting map delineated plastic contaminant zones into categories of very high (12.93%), high (19.08%), moderate (25%), low (28.20%), and very low (14.80%) concentrations. Validation against socio-environmental indicators, focusing on Kolkata Metropolitan Development Authority’s contribution to SDG 3 (Good Health and Well-being), underscores the model’s effectiveness. Among the 4 Municipal Corporation, 37 Municipalities and 23 Panchayat Samities, Kolkata Municipal Corporation stands out with 51.69% of very high plastic contaminant zones, characterized by the lowest Total fertility rate (1.2 in 2011) and the highest dengue cases (4425 in 2023) as major implications of it. A soil sample was collected from a dumping site to check for the presence of plastic particles, revealing 70 plastic items within 500 g of soil. This systematic research approach not only provides actionable insights for municipal governments but also offers valuable guidance for regional and global researchers and policymakers.