A review on control and abatement of soil pollution by heavy metals: Emphasis on artificial intelligence in recovery of contaminated soil

Krishna Gautam, Poonam Sharma, Shreya Dwivedi, Amarnath Singh, Vivek Kumar Gaur, Sunita Varjani, Janmejai Kumar Srivastava, Ashok Pandey, Jo Shu Chang, Huu Hao Ngo

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38 引文 斯高帕斯(Scopus)

摘要

“Save Soil Save Earth” is not just a catchphrase; it is a necessity to protect soil ecosystem from the unwanted and unregulated level of xenobiotic contamination. Numerous challenges such as type, lifespan, nature of pollutants and high cost of treatment has been associated with the treatment or remediation of contaminated soil, whether it be either on-site or off-site. Due to the food chain, the health of non-target soil species as well as human health were impacted by soil contaminants, both organic and inorganic. In this review, the use of microbial omics approaches and artificial intelligence or machine learning has been comprehensively explored with recent advancements in order to identify the sources, characterize, quantify, and mitigate soil pollutants from the environment for increased sustainability. This will generate novel insights into methods for soil remediation that will reduce the time and expense of soil treatment.

原文English
文章編號115592
期刊Environmental Research
225
DOIs
出版狀態Published - 2023 5月 15

All Science Journal Classification (ASJC) codes

  • 生物化學
  • 一般環境科學

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