A generalized machine learning approach for cost-effective monitoring of irrigation suitability: A demonstration case in El Fahs aquifer (Tunisia) DOI Creative Commons
Constantinos F. Panagiotou, Charalampos Konstantinou, Anis Chekirbane

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101324 - 101324

Published: Aug. 27, 2024

Language: Английский

Improving groundwater quality predictions in semi-arid regions using ensemble learning models DOI

Mojtaba Mahmoudi,

Amin Mahdavi‐Meymand, Ammar Aldallal

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 4, 2025

Language: Английский

Citations

2

Identification of feasible regions for managed aquifer recharge in the Republic of Cyprus using a co-participative multi-criteria decision analysis DOI Creative Commons
Constantinos F. Panagiotou,

Sarah Eisenreich,

Olga T. Barouta

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101323 - 101323

Published: Aug. 23, 2024

Language: Английский

Citations

6

Copula-based assessment of flood susceptibility in the island of Cyprus via stochastic multicriteria decision analysis DOI
Constantinos F. Panagiotou

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 979, P. 179469 - 179469

Published: April 22, 2025

Language: Английский

Citations

0

Aquifer vulnerability assessment in data-scarce areas: a spatially explicit assessment DOI Creative Commons
Changhyun Jun, Dongkyun Kim, Sayed M. Bateni

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 24, 2025

Citations

0

Assessment of the groundwater quality status of the phreatic aquifer in Grombalia (Tunisia) for irrigation via geostatistical modeling DOI Creative Commons
Constantinos F. Panagiotou, Thuraya Mellah,

Hatem Baccouche

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

This study is the first attempt to characterize suitability of Grombalia phreatic aquifer for irrigation use by combining traditional classification diagrams with different geostatistical interpolation methods. The Wilcox and USSL suggest that only 20% groundwater samples satisfy recommended sodium standards, whereas 50% are classified as unsuitable because salinity constraints. spatial four parameters, particularly electrical conductivity (EC), chemical oxygen demand (COD), chloride, piezometric levels, performed via ordinary kriging (OK). results reveal presence high values EC in central northern parts aquifer, chloride concentrations exceed standards a large portion mainly due excessive industrial discharge. High levels COD observed northwestern part, probably anthropogenic sources. Indicator (IK) revealed part likely experience toxicity adversities, majority southern considered be suitable use. In particular, 38% area expected concerning (i.e., total dissolved solids (TDS)), an even lower (16%) respect chloride.

Language: Английский

Citations

0

A generalized machine learning approach for cost-effective monitoring of irrigation suitability: A demonstration case in El Fahs aquifer (Tunisia) DOI Creative Commons
Constantinos F. Panagiotou, Charalampos Konstantinou, Anis Chekirbane

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101324 - 101324

Published: Aug. 27, 2024

Language: Английский

Citations

3