Provincial Responsibilities and Compensations in Water Pollutant Transfers in China DOI
Huiping Li, Baiqin Zhou, Yaxian Li

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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

Mahsa Keshtkar,

Mohammad Reza Samaei

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 352, P. 141284 - 141284

Published: Feb. 7, 2024

Language: Английский

Citations

12
Natural background levels, source apportionment and health risks of potentially toxic elements in groundwater of highly urbanized area DOI
Yunhui Zhang, Yuting Yan, Rongwen Yao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 935, P. 173276 - 173276

Published: May 23, 2024

Language: Английский

Citations

11
Evolution origin analysis and health risk assessment of groundwater environment in a typical mining area: Insights from water-rock interaction and anthropogenic activities DOI
Zejun Liu,

Xihua Wang,

Xi Wan

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118792 - 118792

Published: April 5, 2024

Language: Английский

Citations

9
Hydrochemical insights, water quality, and human health risk assessment of groundwater in a coastal area of southeastern China DOI
Yanhong Zheng, Denghui Wei,

Jie Gan

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(10)

Published: Sept. 20, 2024

Language: Английский

Citations

5
Optimized groundwater quality evaluation using unsupervised machine learning, game theory and Monte-Carlo simulation DOI
Yuting Yan,

Yunhui Zhang,

Shiming Yang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 122902 - 122902

Published: Nov. 11, 2024

Language: Английский

Citations

4
Identifying an Appropriate Extractant for Assessing the Presence of Available Potassium in Soils with High Mica Content: A Comprehensive Statistical Analysis DOI
Saibal Ghosh, Sonali Banerjee,

Koyel Basak

et al.

Communications in Soil Science and Plant Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Jan. 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

Language: Английский

Citations

0
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 DOI
Mohammad Golaki, Ehsan Gharehchahi, Norouz Mahmoudi

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101336 - 101336

Published: Sept. 10, 2024

Language: Английский

Citations

2
Exposure to Tropospheric Ozone and NO2 in the Ambient Air of Tehran Metropolis: Spatiotemporal Distribution and Inhalation Health Risk Assessment DOI
Nayereh Rezaie Rahimi, Abooalfazl Azhdarpoor, Reza Fouladi Fard

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: unknown, P. 103777 - 103777

Published: Oct. 1, 2024

Language: Английский

Citations

0
A Systematic Review on Fluoride Contamination in Water Resources of Iran from 2016 to 2023: Spatial Distribution and Probabilistic Risk Assessment (Monte Carlo Simulation) DOI

Danial Nayeri,

Hadis Elyasi,

Ali Jafari

et al.

Biological Trace Element Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Language: Английский

Citations

0
Provincial Responsibilities and Compensations in Water Pollutant Transfers in China DOI
Huiping Li, Baiqin Zhou, Yaxian Li

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0