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Modeling Rapidly Discriminative Strategies of Cr Contaminated Soils Through Machine Learning

https://doi.org/10.2139/ssrn.4685682
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1 of the 44 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1016/j.scitotenv.2023.166678 (notice 2026-08-13).

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inferredcites →https://doi.org/10.1016/j.cej.2021.131285openalex-extracted
Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
inferredcites →https://doi.org/10.1016/j.cej.2023.143073openalex-extracted
Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials
inferredcites →https://doi.org/10.1016/j.chemosphere.2012.02.032openalex-extracted
Remediation of toxic metal contaminated soil by washing with biodegradable aminopolycarboxylate chelants
inferredcites →https://doi.org/10.1016/j.chemosphere.2017.07.046openalex-extracted
Effects of lead mineralogy on soil washing enhanced by ferric salts as extracting and oxidizing agents
inferredcites →https://doi.org/10.1016/j.chemosphere.2018.06.144openalex-extracted
Effect of mixed chelators of EDTA, GLDA, and citric acid on bioavailability of residual heavy metals in soils and soil properties
inferredcites →https://doi.org/10.1016/j.chemosphere.2019.01.160openalex-extracted
New insights on Cr(VI) retention by ferrihydrite in the presence of Fe(II)
inferredcites →https://doi.org/10.1016/j.chemosphere.2019.05.121openalex-extracted
Comparison of the feasibility of different washing solutions for combined soil washing and phytoremediation for the detoxification of cadmium (Cd) and zinc (Zn) in contaminated soil
inferredcites →https://doi.org/10.1016/j.chemosphere.2021.130568openalex-extracted
Choline-based deep eutectic solvent combined with EDTA-2Na as novel soil washing agent for lead removal in contaminated soil
inferredcites →https://doi.org/10.1016/j.chemosphere.2022.134581openalex-extracted
Co-high-efficiency washing agents for simultaneous removal of Cd, Pb and As from smelting soil with risk assessment
inferredcites →https://doi.org/10.1016/j.ecoenv.2018.07.036openalex-extracted
Feasibility of nanoscale zero-valent iron to enhance the removal efficiencies of heavy metals from polluted soils by organic acids
inferredcites →https://doi.org/10.1016/j.envpol.2017.12.072openalex-extracted
Methylmercury production in soil in the water-level-fluctuating zone of the Three Gorges Reservoir, China: The key role of low-molecular-weight organic acids
inferredcites →https://doi.org/10.1016/j.envpol.2023.121484openalex-extracted
Nowcasting of fecal coliform presence using an artificial neural network
inferredcites →https://doi.org/10.1016/j.envres.2022.113830openalex-extracted
Efficiency of diesel-contaminated soil washing with different tween 80 surfactant concentrations, pH, and bentonite ratios
inferredcites →https://doi.org/10.1016/j.jece.2023.109524openalex-extracted
Reductive sequestration of Cr(VI) in soil and groundwater using Ca-Fe-S microparticles
inferredcites →https://doi.org/10.1016/j.jenvman.2021.113174openalex-extracted
Cleanup of arsenic, cadmium, and lead in the soil from a smelting site using N,N-bis(carboxymethyl)-L-glutamic acid combined with ascorbic acid: A lab-scale experiment
inferredcites →https://doi.org/10.1016/j.jhazmat.2017.04.069openalex-extracted
Macroscopic and spectroscopic studies of the enhanced scavenging of Cr(VI) and Se(VI) from water by titanate nanotube anchored nanoscale zero-valent iron
inferredcites →https://doi.org/10.1016/j.jhazmat.2021.126293openalex-extracted
Microwave-enhanced reductive immobilization of high concentrations of chromium in a field soil using iron polysulfide
inferredcites →https://doi.org/10.1016/j.jhazmat.2022.129904openalex-extracted
Modeling phytoremediation of heavy metal contaminated soils through machine learning
inferredcites →https://doi.org/10.1016/j.jhazmat.2023.130879openalex-extracted
Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk
inferredcites →https://doi.org/10.1016/j.jhazmat.2023.131698openalex-extracted
The occurrence of "yellowing" phenomenon and its main driving factors after the remediation of chromium (Cr)-contaminated soils: A literature review
inferredcites →https://doi.org/10.1016/j.jhazmat.2023.132327openalex-extracted
Predicting soil available cadmium by machine learning based on soil properties
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.08.306openalex-extracted
Derivation of reliable empirical models describing lead transfer from metal-polluted soils to radish (Raphanus sativa L.): Determining factors and soil criteria
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.10.310openalex-extracted
A combination of ferric nitrate/EDDS-enhanced washing and sludge-derived biochar stabilization of metal-contaminated soils
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.11.386openalex-extracted
Molecular characteristics, proton dissociation properties, and metal binding properties of soil organic matter: A theoretical study
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.12.063openalex-extracted
Effect of phosphate on amorphous iron mineral generation and arsenic behavior in paddy soils
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.160149openalex-extracted
Insights into the evolution of Cr(VI) species in long-term hexavalent chromium contaminated soil
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.162371openalex-extracted
Quantitative source apportionment and driver identification of soil heavy metals using advanced machine learning techniques
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.162668openalex-extracted
Influence of grain size, organic carbon and organic matter residue content on the sorption of per- and polyfluoroalkyl substances in aqueous film forming foam contaminated soils - Implications for remediation using soil washing
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.162684openalex-extracted
Identification of soil parent materials in naturally high background areas based on machine learning
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.166678openalex-extracted
RETRACTED: Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars
inferredcites →https://doi.org/10.1021/acs.est.0c01136openalex-extracted
Chemodiversity of Soil Dissolved Organic Matter
inferredcites →https://doi.org/10.1021/acs.est.0c01855openalex-extracted
Different Pathways for Cr(III) Oxidation: Implications for Cr(VI) Reoccurrence in Reduced Chromite Ore Processing Residue
inferredcites →https://doi.org/10.1021/acs.est.0c03617openalex-extracted
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inferredcites →https://doi.org/10.1021/acs.est.1c02376openalex-extracted
Direct Prediction of Bioaccumulation of Organic Contaminants in Plant Roots from Soils with Machine Learning Models Based on Molecular Structures
inferredcites →https://doi.org/10.1021/acs.est.1c08302openalex-extracted
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inferredcites →https://doi.org/10.1021/acs.est.9b05208openalex-extracted
Effect of Coexisting Fe(III) (oxyhydr)oxides on Cr(VI) Reduction by Fe(II)-Bearing Clay Minerals
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Machine Learning Based Prediction of Enzymatic Degradation of Plastics Using Encoded Protein Sequence and Effective Feature Representation
inferredcites →https://doi.org/10.1021/es304524popenalex-extracted
A General Model for Kinetics of Heavy Metal Adsorption and Desorption on Soils
inferredcites →https://doi.org/10.1021/es405804mopenalex-extracted
Cr(VI) Adsorption and Reduction by Humic Acid Coated on Magnetite
inferredcites →https://doi.org/10.1080/19942060.2020.1715844openalex-extracted
Predicting Standardized Streamflow index for hydrological drought using machine learning models
inferredcites →https://doi.org/10.1109/access.2023.3265019openalex-extracted
Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM
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