Groundwater quality assessment for potable using WQI and GIS technology in the south of Iran DOI
Amir Bahrami, Mehdi Bahrami,

Elaheh Haghani

et al.

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(5)

Published: Sept. 14, 2024

Language: Английский

Integrating machine learning and data envelopment analysis for reliable reservoir water quality index assessment considering uncertainty DOI
Mohammad Sadegh Zare, Mohammad Reza Nikoo, Ghazi Al-Rawas

et al.

Hydrological Sciences Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: March 18, 2025

Water quality assessment is crucial for environmental health and of life. This study introduces a novel water index (WQI) model reservoirs, using Wadi Dayqah Dam in Oman as case study. The advances data-driven approach, reducing reliance on subjective expert opinions. A large dataset samples was analysed machine learning (ML) to select variables (WQVs). Using bootstrapping subsampling the proposed WQI then calculated through sub-indexing, weighting, aggregating sub-indices. WQV weights were estimated gradient boosting rank order centroid techniques, while aggregation involved scoring data envelopment analysis (DEA). effectively captures uncertainty, prioritizes WQVs, provides solutions issues such eclipsing, ranking, dealing with bad variable values. results validated uncertainty sensitivity analyses, highlighting model's potential enhancing decision making reservoir management.

Language: Английский

Citations

0
Exploring the Spatio-temporal Dynamics and Driving Mechanisms of Toxic Metal Pollution in Soil using a Hybrid Machine Learning-Based Model DOI
Mingtao Xiang,

Zhaohan Lou,

Meiling Sheng

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116644 - 116644

Published: April 1, 2025

Language: Английский

Citations

0
Distribution, pollution levels, and health risk assessment of heavy metals in groundwater in the main pepper production area of China DOI Creative Commons

Mamattursun Eziz,

Nazupar Sidikjan,

Qing Zhong

et al.

Open Geosciences, Journal Year: 2023, Volume and Issue: 15(1)

Published: Jan. 1, 2023

Abstract Heavy metal pollution of groundwater can have severe potential impacts on human health and the environment. The aim this study was to evaluate spatial distribution, pollution, risk heavy metals in main pepper production area China. A total 67 samples were collected, concentrations cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), manganese (Mn), zinc (Zn) elements analyzed. results indicated that average Cd, Cr, Cu, Mn, Ni, Zn are lower than limits Standard for Groundwater Quality China (Class III). However, maximum Ni surpass distribution patterns levels six be substantially heterogeneous. Furthermore, level decrease following order: Mn > Cd Cr collected found slightly polluted by metals. Overall, non-carcinogenic investigated metals, instigated primarily oral ingestion groundwater, higher acceptable range children, poses most significant among

Language: Английский

Citations

10
A comprehensive evaluation of the contamination scenario and water quality in the gas fields of north-east region, Bangladesh DOI Creative Commons
Md. Numan Hossain, M. Farhad Howladar, Md Abu Siddique

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e34323 - e34323

Published: July 15, 2024

Language: Английский

Citations

3
Groundwater quality assessment for potable using WQI and GIS technology in the south of Iran DOI
Amir Bahrami, Mehdi Bahrami,

Elaheh Haghani

et al.

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(5)

Published: Sept. 14, 2024

Language: Английский

Citations

3