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All issues Volume 708 (2026) E3S Web Conf., 708 (2026) 01006 References
Open Access
Issue
E3S Web Conf.
Volume 708, 2026
7th International Conference on Smart Applications and Water Information Systems: “Intelligent Systems, Geospatial Technologies and Modeling for the Sustainable Management of Water Resources” (SAWIS 2025)
Article Number 01006
Number of page(s) 10
Section Climate Change, Hydrology, and Water Resources
DOI https://doi.org/10.1051/e3sconf/202670801006
Published online 30 April 2026
  1. El Mezouary, L., Kharrou, M. H., Hadri, A., Elfarchouni, A., Fakir, Y., Bouchaou, L., &Chehbouni, A. (2025). Advanced hydrogeological modeling to reduce uncertainty in groundwater recharge estimation in semi-arid aquifers: Case of Al-Haouz-Mejjate aquifer in Morocco. Chemosphere, 392, 144743. 2, 4.2, 4.4 [Google Scholar]
  2. European Space Agency. (2021). WorldCover 10 m 2020 product (Version 1.0). ESA. https://doi.org/10.5281/zenodo.55719363.2 [Google Scholar]
  3. Munoz-Sabater, J. (2019). ERA5-Land monthly averaged data from 1981 to present (Version 2.0). Copernicus Climate Change Service (C3S) Climate Data Store. https://doi.org/10.24381/cds.68d2bb303.2 [Google Scholar]
  4. FAO/IIASA/ISRIC/ISSCAS/JRC. (2012). Harmonized World Soil Database (version 1.2). Food and Agriculture Organization of the United Nations & International Institute for Applied Systems Analysis. 3.2 [Google Scholar]
  5. Scanlon, B.R., Healy, R.W., Cook, P.G. (2002). Choosing appropriate techniques for quantifying groundwater recharge. Hydrogeology Journal, 10(1), 18-391. [Google Scholar]
  6. Chen, J.F., et al. (2005). A water budget model for the Yun-Lin plain, Taiwan. Water Resources Management, 19(5), 483-504. 1 [Google Scholar]
  7. Batelaan, O., De Smedt, F. (2001). WetSpass: A flexible, GIS-based, distributed recharge methodology for regional groundwater modeling. In: Impact of Human Activity on Groundwater Dynamics, IAHS Publication 269, 11-17. 1.1 [Google Scholar]
  8. Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Scientific Data, 5, 170191. https://doi.org/10.1038/sdata.2017.1913.2 [Google Scholar]
  9. Wang, Z.M., Batelaan, O., De Smedt, F. (1997). A distributed model for water and energy transfer between soil, plants and atmosphere (WetSpa). Physics and Chemistry of the Earth, 21(3), 189-193. 3.1, 3.3 [Google Scholar]
  10. Chow, V.T., Maidment, D.R., Mays, L.W. (1988). Applied Hydrology. McGraw-Hill, New York. 3.1.2 [Google Scholar]
  11. Federer, C.A. (1979). A soil-plant-atmosphere model for transpiration and availability of soil water. Water Resources Research, 15(3), 555-562. 3.1.3 [Google Scholar]
  12. El Mezouary, L., El Mansouri, B., &El Bouhaddioui, M. (2020, March). Groundwater forecasting using a numerical flow model coupled with machine learning model for synthetic time series. In Proceedings of the 4th Edition of International Conference on Geo-IT and Water Resources 2020, Geo-IT and Water Resources 2020 (pp. 1-6). 4.5 [Google Scholar]
  13. Lhassan, S., Bouabid, E. M., Badr, B. E. N. S.E. D. D. I. K. , &Jamal, C. H. A. O. (2019). Improvement of groundwater resources potential by artificial recharge technique: A case study of Charf El Akab aquifer in the Tangier region, Morocco. Journal of Groundwater Science and Engineering Vol, 7(3). 1 [Google Scholar]
  14. Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315. https://doi.org/10.1002/joc.50863.2 [Google Scholar]
  15. Draoui, Y., Lahlou, F., Chao, J., El Mezouary, L., Al Mazini, I., &El Hamidi, M. J. (2021). Quantification of surface water-groundwater exchanges by gis coupled with experimental gauging in an alluvial environment. International Journal of Advanced Computer Science and Applications, 12(1). 4.5 [Google Scholar]

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