Comprehensive approach integrating remote sensing, machine learning, and physicochemical parameters to detect hydrodynamic conditions and groundwater quality deterioration in non-rechargeable aquifer systems

Eid, Mohamed HamdyShebl, AliEissa, MustafaMohamed, Essam A.Fahil, Amr S.Ramadan, Hatem SaadAbukhadra, Mostafa R.El-Sherbeeny, Ahmed M.Kovács, AttilaSzűcs, Péter2024-08-302024-08-302024Heliyon. -10 : 12 (2024), p. 1-19. -(cikkazonosító)e32992. -Heliyon. - 2405-84402405-8440https://hdl.handle.net/2437/379393Comprehensive approach integrating remote sensing, machine learning, and physicochemical parameters to detect hydrodynamic conditions and groundwater quality deterioration in non-rechargeable aquifer systemsfolyóiratcikkopen access articlehttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM123661TermészettudományokFöldtudományokhttps://linkinghub.elsevier.com/retrieve/pii/S2405844024090236Szerzőhttp://dx.doi.org/10.1016/j.heliyon.2024.e329922024-08-3000126028660000185196188028