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Groundwater Management and Allocation Models: A Review

Khadijeh Norouzi KhatiriFaculty of Environment, University of Tehran, Tehran, IranBanafsheh NematollahiDepartment of Civil and Environmental Engineering, Shiraz University, Shiraz, IranSamira HafeziyehDepartment of Chemical Engineering, Isfahan University of Technology, Isfahan, IranMohammad Hossein NiksokhanFaculty of Environment, University of Tehran, Tehran, IranMohammad Reza NikooDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, OmanGhazi Al-RawasDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman
2023en
ABI

Аннотация

Effective groundwater management and allocation are essential from economic and social points of view due to increasing high-quality water demands. This study presents a review and bibliometric analysis of the popular techniques in groundwater management and allocation models, which have not yet been captured in the literature, as our knowledge allows. To this extent, the literature on this state-of-the-art is categorized based on four primary sectors intervening in efficient groundwater management. The first sector discusses the simulation and surrogate models as the central groundwater predictive models, wherein quantitative and qualitative groundwater models are scrutinized. The second section is dedicated to applying different classic and smart optimization models, followed by a summary of state-of-the-art works on applying accurate and heuristic optimization models in groundwater management. Third, uncertainty analysis techniques in conjunction with groundwater modeling are studied as analytical tools, approximation methods, and simulation methods to identify the most exciting subject fields. The fourth section reviews decision-making models coupled with groundwater models as multi-criteria decision-making, social choice, and game-theory models. Finally, a summary of this review and goals for future studies are presented. Additionally, several new ideas are recognized, advising scholars to find critical gaps in the field.

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