## Appendix A List of Primary Studies (PS) in this Literature
Manage._, 2019. [PS40] [PERSON], [PERSON], and [PERSON], \"Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorhei river basin (Northwest China),\" _Sci. Total Environ._, vol. 772, p. 145013, 2021. [PS41] [PERSON] and [PERSON], \"Prediction of groundwater level variations in a changing climate: A danish case study,\" _ISPRS Int. J. Geo-Information_, vol. 10, no. 11, 2021. [PS42] [PERSON] and [PERSON], \"Modeling of groundwater level changes in an urban area,\" _Sustain. Water Resour. Manag._, vol. 7, no. 1, 2021. [PS43] [PERSON] _et al._, \"Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by While Algorithm,\" _Nat. Resour. Res._, 2020. [PS44] [PERSON], [PERSON], and [PERSON], \"Using artificial neural network models for groundwater level forecasting and assessment of the relative impacts of influencing factors,\" _Hydroged. J._, vol. 27, no. 2, pp. 567-579, 2019. [PS45] [PERSON], [PERSON], and [PERSON], \"Comparison study of artificial intelligence method for short term groundwater level prediction in the northeast Gachsaran unconfined aquifer,\" _Water Sci. Technol. Water Supply_, vol. 20, no. 3, pp. 909-921, 2020. [PS46] [PERSON], \"Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management,\" 2021. [PS47] [PERSON], \"USE OF MACHINE LEARNING IN GROUNDWATER LEVEL FORECASTING,\" _Int. J. Adv. Agric. Sci. Technol._, vol. 7, no. 6, pp. 275-293, 2022. [PS48] [PERSON], \"Forecasting Multiple Groundwater Time Series with Local and Global Deep Learning Networks,\" _Int. J. Environ. Res. Public Health_, 2022. [PS49] [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], \"Assessment of ensemble models for groundwater potential modeling and prediction in a karst watershed,\" _Water (Switzerland)_, vol. 13, no. 18, 2021. [PS50] [PERSON] _et al._, \"Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS,\" _Sci. World J._, vol. 2015, 2015. [PS51] [PERSON], [PERSON], [PERSON], and [PERSON], \"Comparative evaluation of machine learning models for groundwater quality assessment,\" _Environ. Monit. Assess._, vol. 192, no. 12, 2020. [PS52] [PERSON], [PERSON], [PERSON], and [PERSON], \"Assessment of causes and effects of groundwater level change in an urban area (Warsaw, poland),\" _Water (Switzerland)_, vol. 12, no. 11. pp. 1-17, 2020. * [PS53] [PERSON] _et al._, \"Climate change, land use/land cover change, and population growth as drivers of groundwater depletion in the Central Valleys, Oaxaca, Mexico,\" _Remote Sens._, vol. 11, no. 11, pp. 1-25, 2019. * [PS54] [PERSON] and [PERSON], \"Mathematical Modeling of Groundwater Level Changing with Considering Evapotranspiration Factor,\" _Int. J. Mod. Stud. Mech. Eng._, vol. 6, no. 1, pp. 19-25, 2020. * [PS55] [PERSON], [PERSON], [PERSON], [PERSON], \"Assessment of groundwater changing trends through the generalized large well method with confined-unconfined flow model in open-pit mine area,\" 2014. * [PS56] [PERSON], [PERSON], and [PERSON], \"Analysis of the water level variation in the polish part of the vistula lagoon (Baltic sea) and estimation of water inflow and outflow transport through the strait of baltiysk in the years 2008-2017,\" _Water (Switzerland)_, vol. 13, no. 10, 2021. * [PS57] [PERSON]. M. F. T. C. T. S.-C. K. B. S. [PERSON], \"Conjunctive management of surface and groundwater resources under projected future climate change scenerios,\" _J. Hydrol._, 2016. * [PS58] [PERSON], \"Investigation and control of seawater intrusion in the Eastern Nile Delta aquifer considering climate change,\" _Water Sci. Technol. Water Supply_, vol. 17, no. 2, pp. 311-323, 2017. * [PS59] [PERSON], [PERSON], \"Groundwater flow to a pumping well in a sloping fault zone unconfined aquifer,\" 2014. * [PS60] [PERSON], [PERSON], [PERSON], and [PERSON], \"Beachwin: Modelling groundwater effects on swash sediment transport and beach profile changes,\" _Environ. Model. Softw._, vol. 17, no. 3, pp. 313-320, 2002.