AIMC Topic: Soil Pollutants

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Identifying trace metal distribution and occurrence in sediments, inundated soils, and non-flooded soils of a reservoir catchment using Self-Organizing Maps, an artificial neural network method.

Environmental science and pollution research international Jul 10, 2017
The Lancang-Mekong River is a trans-boundary river which provides a livelihood for over 60 million people in Southeast Asia. Its environmental security is vital to both local and regional inhabitants. Efforts have been undertaken to identify controll...
Metals, Heavy Geologic Sediments Floods Environmental Monitoring Soil Pollutants Rivers China Trace Elements Neural Networks, Computer Soil
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Analysis of the Importance of Oxides and Clays in Cd, Cr, Cu, Ni, Pb and Zn Adsorption and Retention with Regression Trees.

PloS one Jan 10, 2017
This study determines the influence of the different soil components and of the cation-exchange capacity on the adsorption and retention of different heavy metals: cadmium, chromium, copper, nickel, lead and zinc. In order to do so, regression models...
Soil Reproducibility of Results Adsorption Regression Analysis Lead Aluminum Silicates Machine Learning Metals, Heavy Algorithms Clay Chromium Oxides Nickel Soil Pollutants Cadmium
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Application of radial basis function neural network to predict soil sorption partition coefficient using topological descriptors.

Chemosphere Nov 9, 2016
The soil sorption partition coefficient logK is an indispensable parameter that can be used in assessing the environmental risk of organic chemicals. In order to predict soil sorption partition coefficient for different and even unknown compounds in ...
Neural Networks, Computer Soil Pollutants Soil Organic Chemicals Models, Theoretical
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Application of backpropagation artificial neural network prediction model for the PAH bioremediation of polluted soil.

Chemosphere Jul 15, 2016
The backpropagation (BP) artificial neural network (ANN) is a renowned and extensively functional mathematical tool used for time-series predictions and approximations; which also define results for non-linear functions. ANNs are vital tools in the p...
Nigeria Neural Networks, Computer Soil Pollutants Polycyclic Aromatic Hydrocarbons Soil Environmental Pollution Risk Assessment Biodegradation, Environmental Models, Chemical
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Fuzzy logic-based assessment for mapping potential infiltration areas in low-gradient watersheds.

Journal of environmental management Apr 1, 2016
This paper gives an account of the design a logic-based approach for identifying potential infiltration areas in low-gradient watersheds based on remote sensing data. This methodological framework is applied in a sector of the Pampa Plain, Argentina,...
Soil Pollutants Agriculture Hydrology Water Purification Argentina Groundwater Drinking Water Soil Fuzzy Logic
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A critical review on occurrence, speciation, mobilization, and toxicity of per- and polyfluoroalkyl substances in the soil-microbe-plant system and bioremediation strategies.

Journal of hazardous materials Aug 15, 2025
Per- and polyfluoroalkyl substances (PFAS) are a group of recalcitrant anthropogenic compounds that are extensively utilized for numerous industrial applications globally. Despite such vast utilization, PFAS accumulation in the soils and sediments wi...
Plants Biodegradation, Environmental Fungi Soil Microbiology Soil Pollutants Fluorocarbons Soil Bacteria
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Heuristic Topological Graph Convolutional Network for Risk Prediction of Potentially Toxic Elements in Cultivated Soils.

Environmental science & technology Aug 12, 2025
Contamination of cultivated soils with potentially toxic elements (PTEs) poses a growing threat to global food security. Although existing risk assessments have examined the accumulation and toxicity of PTEs, their dynamic interplay with multidimensi...
China Environmental Monitoring Soil Pollutants Soil Risk Assessment
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Unraveling soil salinity on potentially toxic element accumulation in coastal Phragmites australis: A novel integration of multivariate and interpretable machine-learning models.

Marine pollution bulletin Aug 1, 2025
Revealing the key mechanisms influencing the behavior of potentially toxic elements (PTEs) in soil-plant systems is of great significance for environmental protection and grassland development in coastal areas. This study utilized redundancy analysis...
Soil Pollutants Poaceae Salinity Machine Learning Soil Environmental Monitoring
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Soil type and content of macro-elements determine hotspots of Cu and Ni accumulation in soils of subarctic industrial barren: inference from a cascade machine learning.

Environmental pollution (Barking, Essex : 1987) Jul 15, 2025
Aerial technogenic pollution from the activity of ferrous and non-ferrous metallurgy resulting in degradation of vulnerable natural ecosystems is a principal environmental problem in Russian Arctic. The industrial barren in the vicinity of Monchegors...
Machine Learning Soil Pollutants Copper Nickel Soil Environmental Monitoring Russia Arctic Regions
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Integrating machine learning and reliability analysis: A novel approach to predicting heavy metal removal efficiency using biochar.

Ecotoxicology and environmental safety Jul 1, 2025
Soil contamination with heavy metals (HMs) presents critical environmental and public health risks due to their long-term persistence and tendency to bioaccumulate. Biochar has gained recognition as an effective amendment for HM immobilization, owing...
Environmental Restoration and Remediation Metals, Heavy Soil Pollutants Charcoal Machine Learning Reproducibility of Results
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