<p>Heavy metal (HM) accumulation is a significant environmental concern that endangers human health and the ecosystem due to increasing natural and anthropogenic activities. This study assessed the toxicity of fourteen different HMs in the soil samples taken from the agricultural sites situated along the national highways in Bilaspur, Chhattisgarh, India. Using a range of soil indices, such as contamination factor (CF), pollution load index (PLI), geo-accumulation index (Igeo), ecological risk assessment (ERA), and risk index (RI), the study examined the risk associated with the HMs such as boron, aluminum, vanadium, chromium, manganese, iron, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium, and lead. Their potential sources of origin were assessed using multivariate statistical techniques, coupled with positive matrix factorization (PMF) and self-organizing map (SOM). The CF and I<sub>geo</sub> results showed that 4.80% of the soil sites were extremely polluted and 54.0% were moderately polluted. Comprehensive multivariate analysis combining PMF and SOM identified both geogenic and mixed anthropogenic sources, with vehicular pollution and agricultural activities emerging as the major contributors to health risk. This study advances the knowledge of HM contamination in agroecosystems and helps in developing the future strategies to reduce HM exposure in the environment.</p>

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Evaluation of toxic metal contamination and source allocation in agricultural soils of Chhattisgarh, India: multivariate and artificial network approaches

  • Mohineeta Pandey,
  • Amar Abhishek,
  • Ankesh Tiwari,
  • Astha Tirkey,
  • Rashmi Dubey,
  • Sudhir Kumar Pandey

摘要

Heavy metal (HM) accumulation is a significant environmental concern that endangers human health and the ecosystem due to increasing natural and anthropogenic activities. This study assessed the toxicity of fourteen different HMs in the soil samples taken from the agricultural sites situated along the national highways in Bilaspur, Chhattisgarh, India. Using a range of soil indices, such as contamination factor (CF), pollution load index (PLI), geo-accumulation index (Igeo), ecological risk assessment (ERA), and risk index (RI), the study examined the risk associated with the HMs such as boron, aluminum, vanadium, chromium, manganese, iron, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium, and lead. Their potential sources of origin were assessed using multivariate statistical techniques, coupled with positive matrix factorization (PMF) and self-organizing map (SOM). The CF and Igeo results showed that 4.80% of the soil sites were extremely polluted and 54.0% were moderately polluted. Comprehensive multivariate analysis combining PMF and SOM identified both geogenic and mixed anthropogenic sources, with vehicular pollution and agricultural activities emerging as the major contributors to health risk. This study advances the knowledge of HM contamination in agroecosystems and helps in developing the future strategies to reduce HM exposure in the environment.