Assessing water quality index and health risk using deterministic and probabilistic approaches in Darab County, Iran; A machine learning for fluoride prediction

Chemosphere, Год журнала: 2024, Номер 352, С. 141284 - 141284

Опубликована: Фев. 7, 2024

Язык: Английский

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Natural background levels, source apportionment and health risks of potentially toxic elements in groundwater of highly urbanized area

The Science of The Total Environment, Год журнала: 2024, Номер 935, С. 173276 - 173276

Опубликована: Май 23, 2024

Язык: Английский

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Evolution origin analysis and health risk assessment of groundwater environment in a typical mining area: Insights from water-rock interaction and anthropogenic activities

Environmental Research, Год журнала: 2024, Номер 252, С. 118792 - 118792

Опубликована: Апрель 5, 2024

Язык: Английский

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Hydrochemical insights, water quality, and human health risk assessment of groundwater in a coastal area of southeastern China

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(10)

Опубликована: Сен. 20, 2024

Язык: Английский

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Optimized groundwater quality evaluation using unsupervised machine learning, game theory and Monte-Carlo simulation

Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 122902 - 122902

Опубликована: Ноя. 11, 2024

Язык: Английский

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Identifying an Appropriate Extractant for Assessing the Presence of Available Potassium in Soils with High Mica Content: A Comprehensive Statistical Analysis

Communications in Soil Science and Plant Analysis, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Янв. 13, 2025

The choice of extractant for estimating plant-available potassium (K) in mica-rich soil has not been universally established. In order to evaluate and monitor the complex chemical performance K K-rich soil, subsequently, its availability crops, a suitable protocol that takes into consideration properties relation rice plant parts (root, shoot, grain) uptake becomes necessary. Nine laboratory extraction methods estimate content using 63 samples collected from nearly 21 mica mines, encompassing wide range across different agricultural lands. While ammonium acetate is widely used testing, other have also proposed crop-available K. Among various extractants tested, 0.5 M sodium bicarbonate at pH 8.5 (mean 132.24 mg/kg) gave best results areas near mines. Additionally, water-soluble showed promise such as root, grain uptake, indicated by correlation coefficient 0.94, 0.93 respectively. Based on artificial neural network (ANN) Sobol (variance-based method determining how input variables contribute output variance model) methods, Mehlich 3 procedure extractable forms positive impact grain. Taylor (a graphical tool compare models) diagram comparing multiple machine learning algorithms, multivariate adaptive regression spline extreme gradient boosting (XGBoost) emerged best-fit models contribution each uptake. Considering soils derived weathered parent materials often negative balances, which could lead

Язык: Английский

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Assessing Water Quality of Kazerun County in Southwest Iran: Multi-Analytical Techniques, Deterministic vs. Probabilistic Water Quality Index, Geospatial Analysis, Fuzzy C-Means Clustering, and Machine Learning

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101336 - 101336

Опубликована: Сен. 10, 2024

Язык: Английский

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Exposure to Tropospheric Ozone and NO2 in the Ambient Air of Tehran Metropolis: Spatiotemporal Distribution and Inhalation Health Risk Assessment

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер unknown, С. 103777 - 103777

Опубликована: Окт. 1, 2024

Язык: Английский

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A Systematic Review on Fluoride Contamination in Water Resources of Iran from 2016 to 2023: Spatial Distribution and Probabilistic Risk Assessment (Monte Carlo Simulation)

Biological Trace Element Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 21, 2024

Язык: Английский

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Provincial Responsibilities and Compensations in Water Pollutant Transfers in China

Process Safety and Environmental Protection, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

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