Abstract
Potentially toxic metals (PTMs) contamination in the soil poses a serious danger to people’s health by direct or indirect exposure, and generally it occurs by consuming food grown in these soils. The present study assessed the pollution levels and risk to human health upon sustained exposure to PTM concentrations in the area’s centuries-old glass industry clusters of the city of Firozabad, Uttar Pradesh, India. Soil sampling (0–15 cm) was done in farmers’ fields within a 1 km radius of six industrial clusters. Various environmental (geo-accumulation index, contamination factor, pollution load index, enrichment factor, and ecological risk index) and health risk indices (hazard quotient, carcinogenic risk) were computed to assess the extent of damage caused to the environment and the threat to human health. Results show that the mean concentrations of Cu (33 mg kg−1), Zn (82.5 mg kg−1), and Cr (15.3 mg kg−1) were at safe levels, whereas the levels of Pb, Ni, and Cd exceeded their respective threshold limits. A majority of samples (88%) showed considerable ecological risk due to the co-contamination of these six PTMs. Health risk assessment indicated tolerable cancer and non-cancer risk in both adults and children for all PTMs, except Ni, where adults were exposed to potential threat of cancer. Pearson’s correlation study revealed a significant positive correlation between all six metal pairs and conducting principal component analysis (PCA) confirmed the common source of metal pollution. The PC score ranked different sites from highest to lowest according to PTM loads that help to establish the location of the source. Hierarchical cluster analysis grouped different sites into the same cluster based on similarity in PTMs load, i.e., low, medium, and high.
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Abbreviations
- PTMs:
-
Potentially toxic metals
- PCA:
-
Principal component analysis
- GDP:
-
Gross domestic product
- I geo :
-
Geo-accumulation index
- CF:
-
Contamination factor
- Cdeg :
-
Contamination degree
- EF:
-
Enrichment factor
- ERI:
-
Ecological risk index
- PLI:
-
Pollution load index
- ICP:
-
Inductively coupled plasma
- AAS:
-
Atomic absorption spectroscopy
- CDDing :
-
Chronic daily dose exposure through ingestion
- CDDinh :
-
Chronic daily dose exposure through inhalation
- CDDder :
-
Chronic daily dose exposure through dermal contact
- IngR:
-
Ingestion rate
- ED:
-
Exposure duration
- EF:
-
Exposure frequency
- BW:
-
Body weight
- InhR:
-
Inhalation rate
- AT:
-
Average time
- PEF:
-
Particle emission factor
- SA:
-
Surface area
- AF:
-
Dermal adherence factor
- SAF:
-
Skin absorption factor
- HQ:
-
Hazard quotient
- RfD:
-
Reference dose
- HI:
-
Hazard index
- CR:
-
Carcinogenic risk
- SF:
-
Slope factor
- TCR:
-
Total cancer risk
- IDW:
-
Inverse distance weighting
- PC:
-
Principle component
- SOC:
-
Soil organic carbon
- TOC:
-
Total organic carbon
- FAO:
-
Food and Agriculture Organization
- WHO:
-
World Health Organization
- PM:
-
Particulate matter
- CV:
-
Coefficient of variance
- CDD:
-
Chronic daily dose
- PERI:
-
Potential ecological risk index
- CDDing :
-
Chronic daily dose ingestion
- CDDderm :
-
Chronic daily dose dermal contact
- CDDinh :
-
Chronic daily dose inhalation
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Anuj Saraswat: conceptualization, manuscript-design, writing—original draft, sampling, laboratory analysis, data analysis. Shri Ram: supervision, validation, manuscript—review, and editing. Md. Basit Raza: conceptualization, manuscript-design, writing—original draft, data analysis, validation. Sadikul Islam: data analysis, manuscript-review, and editing, software provision. Sonal Sharma: laboratory analysis, data analysis, manuscript—review and editing. Michael E. Omeka: data analysis, data validation. Biswaranjan Behera: mapping, manuscript—review and editing. Roomesh K. Jena: supervision, manuscript-review and editing, mapping. Abdur Rashid: manuscript—review and editing. Debasis Golui: manuscript—review and editing. All authors have reviewed and approved of the final manuscript.
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Saraswat, A., Ram, S., Raza, M.B. et al. Potentially toxic metals contamination, health risk, and source apportionment in the agricultural soils around industrial areas, Firozabad, Uttar Pradesh, India: a multivariate statistical approach. Environ Monit Assess 195, 863 (2023). https://doi.org/10.1007/s10661-023-11476-3
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DOI: https://doi.org/10.1007/s10661-023-11476-3