Cited by Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran

A meta-analysis of geochemical characteristics of groundwater quality in Iran DOI

Mohsen Jalali, Mahdi Jalali

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103674 - 103674

Published: July 14, 2024

Language: Английский

Citations

Advanced hydrogeochemical facies classification: a comparative analysis of machine learning models with SMOTE in the Tawi Basin DOI

Ajay Kumar Taloor, Shiwalika Sambyal, Ravi Kumar Sharma

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: unknown, P. 103785 - 103785

Published: Oct. 1, 2024

Language: Английский

Citations

Unveiling the Hidden Depths: A Review for Understanding and Managing Groundwater Contamination in Arid Regions DOI

Khaled S. Gemail, Ismail Abd‐Elaty

The handbook of environmental chemistry, Journal Year: 2023, Volume and Issue: unknown, P. 3 - 35

Published: Jan. 1, 2023

Language: Английский

Citations

Identification of the hydrogeochemical processes and assessment of groundwater quality using Water Quality Index (WQI) in semi-arid area F'kirina eastern Algeria DOI

Si Tayeb Khaldia,

Belgacem Houha,

Ouanes Miyada

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 18, 2024

Abstract Groundwater is the primary source for human life, intended consumption and agricultural production, particularly in F'kirina plain, a semi-arid region eastern Algeria. The study aims to determine hydrogeochemical characteristics of groundwater, including (Ca2+, Mg2+, Na+, K+), CO3, HCO3 − , Cl-, SO4 2− NO3, PO4 temperature, pH, electrical conductivity (EC), total dissolved solids (TDS). results were analyzed using XLSTAT software (2016) with Principal Component Analysis (PCA), Piper diagram, four hydrochemical facies. Their suitability was assessed by calculating Water Quality Index (WQI) according World Health Organization (WHO) standards (2011), WQI below 50 considered suitable consumption. Samples P3, P5, P6, P15 classified as excellent groundwater quality (WQI < 50), while samples P4, P7, P8, P9, P17, P18 indicated good (50 100). However, 50% wells showed elevated levels major elements exceeding standards. observed sequence element dominance high quantities Ca2 + > Mg2 Na K+, anions follow order Cl− 2 NO3 −> NO2 −. PCA revealed two factors influencing overall hydrogeochemistry: geogenic impact attributed geological substrate secondarily prevailing geochemical (redox) conditions. Conversely, anthropogenic primarily related practices leading nitrate enrichment salinization. These contribute degradation f’kirina plain.

Language: Английский

Citations

Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping DOI

Ali Nasiri Khiavi, Mehdi Vafakhah

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(40), P. 52740 - 52757

Published: Aug. 19, 2024

Language: Английский

Citations

Identification of the hydrogeochemical processes and assessment of groundwater quality using Water Quality Index (WQI) in semi-arid area F'kirina plain eastern Algeria DOI

Khaldia Si Tayeb,

Belgacem Houha,

Miyada Ouanes

et al.

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(22)

Published: Nov. 1, 2024

Language: Английский

Citations

Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran DOI

Ali Nasiri Khiavi,

Hamid Khodamoradi,

Fatemeh Sarouneh

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Language: Английский

Citations