Integrative model-based assessment of heavy metal contamination and source apportionment in groundwater of West Bengal, India

Abstract This research explores the levels of heavy metal (HM) contamination in the groundwater, along with their probable origin and distribution patterns across different sites of West Bengal, India. The HM concentrations are generally higher in site 2 compared to site 1, with As showing the highest levels at site 2, averaging 34.31 ± 9.07 μg · L −1 . The spatial distribution analysis revealed that HM pollution is more concentrated in the northern and western regions, highlighting these regions as the primary contamination zones across the study sites. The positive matrix factorization (PMF) analysis indicated that natural processes (31.08%) and traffic emissions (30.85%) are likely the key contributors to HM contamination in the groundwater. Additionally, the self-organizing map (SOM) analysis effectively identified the distribution pattern of HMs. Hence, this study offers insights into model-based analytical approaches that can support policymakers and environmental scientists in effectively monitoring and controlling HM contamination in groundwater on a global scale.

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Publication Details

Journal
International Journal on Smart Sensing and Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.2478/ijssis-2025-0052
Primary Topic
Water Quality and Pollution Assessment
Type
article
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article

Integrative model-based assessment of heavy metal contamination and source apportionment in groundwater of West Bengal, India

Saibal Ghosh, Soumi Banerjee, Sonali Banerjee, Anindya Dasgupta
International Journal on Smart Sensing and Intelligent Systems
Water Quality and Pollution Assessment
article

Integrative model-based assessment of heavy metal contamination and source apportionment in groundwater of West Bengal, India

Saibal Ghosh, Soumi Banerjee, Sonali Banerjee, Anindya Dasgupta
article en

Abstract

Abstract This research explores the levels of heavy metal (HM) contamination in the groundwater, along with their probable origin and distribution patterns across different sites of West Bengal, India. The HM concentrations are generally higher in site 2 compared to site 1, with As showing the highest levels at site 2, averaging 34.31 ± 9.07 μg · L −1 . The spatial distribution analysis revealed that HM pollution is more concentrated in the northern and western regions, highlighting these regions as the primary contamination zones across the study sites. The positive matrix factorization (PMF) analysis indicated that natural processes (31.08%) and traffic emissions (30.85%) are likely the key contributors to HM contamination in the groundwater. Additionally, the self-organizing map (SOM) analysis effectively identified the distribution pattern of HMs. Hence, this study offers insights into model-based analytical approaches that can support policymakers and environmental scientists in effectively monitoring and controlling HM contamination in groundwater on a global scale.

International Journal on Smart Sensing and Intelligent SystemsVol. 18(1)
Adamas University (IN), Tea Research Association (IN), Indian Statistical Institute (IN)
Openalex Percentile: Top 74%
Water Quality and Pollution Assessment
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Integrative model-based assessment of heavy metal contamination and source apportionment in groundwater of West Bengal, India — Saibal Ghosh, Soumi Banerjee, et al. · International Journal on Smart Sensing and Intelligent Systems (2025) | TGRS Research Map | TGRS