An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions

ZM Yaseen - Chemosphere, 2021 - Elsevier
The development of computer aid models for heavy metals (HMs) simulation has been
remarkably advanced over the past two decades. Several machine learning (ML) models …

Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review

JK Janga, KR Reddy, K Raviteja - Chemosphere, 2023 - Elsevier
The growing number of contaminated sites across the world pose a considerable threat to
the environment and human health. Remediating such sites is a cumbersome process with …

Data-driven machine learning in environmental pollution: gains and problems

X Liu, D Lu, A Zhang, Q Liu, G Jiang - Environmental science & …, 2022 - ACS Publications
The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

Current status, spatial features, health risks, and potential driving factors of soil heavy metal pollution in China at province level

B Hu, S Shao, H Ni, Z Fu, L Hu, Y Zhou, X Min… - Environmental …, 2020 - Elsevier
In this study we systematically reviewed 1203 research papers published between 2008 and
2018 in China and recorded related data on eight kinds of soil heavy metals (Cr, Pb, Cd, Hg …

Comprehensive assessment of harmful heavy metals in contaminated soil in order to score pollution level

H Zhao, Y Wu, X Lan, Y Yang, X Wu, L Du - Scientific Reports, 2022 - nature.com
Soil-related problems have grown up to be a major threat to human society. Scientific
evaluation is helpful to understand the status of soil pollution and provide reference to …

Predicting heavy metal adsorption on soil with machine learning and map** global distribution of soil adsorption capacities

H Yang, K Huang, K Zhang, Q Weng… - Environmental …, 2021 - ACS Publications
Studying heavy metal adsorption on soil is important for understanding the fate of heavy
metals and properly assessing the related environmental risks. Existing experimental …

Accurate prediction of soil heavy metal pollution using an improved machine learning method: a case study in the Pearl River Delta, China

W Zhao, J Ma, Q Liu, L Dou, Y Qu, H Shi… - Environmental …, 2023 - ACS Publications
In traditional soil heavy metal (HM) pollution assessment, spatial interpolation analysis is
often carried out on the limited sampling points in the study area to get the overall status of …

Determination and map** of regional change of Pb and Cr pollution in Ankara city center

M Cetin, AMO Aljama, OBM Alrabiti, F Adiguzel… - Water, Air, & Soil …, 2022 - Springer
As in the whole world, environmental problems have increased with the increase in
residential areas in Turkey, and this situation has brought many problems, especially …

Determination of priority control factors for the management of soil trace metal (loid) s based on source-oriented health risk assessment

J Sun, M Zhao, J Huang, Y Liu, Y Wu, B Cai… - Journal of Hazardous …, 2022 - Elsevier
Trace metal (loid) s (TMs) in soils can seriously threaten the ecological environment and
human health. With the limitation of resources and costs, determining priority control factor is …

Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory

X Jia, T Fu, B Hu, Z Shi, L Zhou, Y Zhu - Journal of hazardous materials, 2020 - Elsevier
From the perspective of the mechanism of soil pollution, it is difficult to explain the process of
predicting the spatial distributions of soil heavy metal pollution using traditional geostatistical …