A review of data mining approaches for spatial monitoring of soil pollution: trends, methodologies, and future directions from Indian and global perspectives
摘要
Remediation of water and air pollution are progressing rapidly, when compared to the practices implemented in mitigating soil pollution. The negligence can be due to the complex and heterogenous nature of the soil media, besides the localized and persistent tendencies of the soil pollutants. The present two-phase review study involves a systematic search on the soil pollution researches conducted between 1950 and 2025 and a methodological review on the studies that integrate the data mining and spatial/spectral/temporal component in its implementation. The systematic search classified the researches into four different procedures (i.e.) Soil Characterization, Impact Assessment, Source Apportionment, Remediation and Mitigation approaches and resulted with approximately 72 to 75% of the researches concentrating on the assessing the impact of the soil pollutants at both Indian and global extent. Among the soil pollutant/contaminant assessed, around 22 to 25% of the researches assessed the heavy metal content with increased number of pollutants assessed at global scale. The methodological review further compared the opportunities and challenges involved in implementing the four procedures and its possible integration. Overall, the present study indicated the requirement of a shift in the research studies towards source and remediation strategies with exclusive pollutant related soil spatial and spectral databases.