Ebtehaj, I. & Bonakdari, H. (2014). Performance Evaluation of Adaptive Neural Fuzzy Inference System for Sediment Transport in Sewers. Water Resources Management, 28:4765 4779. https://doi.org/10.1007/s11269-014-0774-0
Hadri, A., El Mehdi, S., El Khalki, E.M., Aachrine, B., Saouabe, T. & Ait Elmaki, A. (2022). Integrated water management under climate change through the application of the WEAP model in a Mediterranean arid region. Journal of Water and Climate Change, 13 (6): 2414–2442. https://doi.org/10.2166/wcc.2022.039
Jang, J-R. (1993). ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans
Kisi, O. (2015). Streamflow forecasting and estimation using least square support vector regression and adaptive neuro-fuzzy embedded fuzzy c-means clustering. Water Resources Management, 29(14):5109–5127
Larsen, S.V. & Kørnøv, L. (2009). SEA of river basin management plans: incorporating climate change, Impact Assessment. Project appraisal, vol. 27, no. 4, pp. 291–299. https://doi.org/10.3152/146155109X480367
Levidow, L., Zaccaria, D., Maia, R., Vivas, E., Todorovic, M. & Scardigno, A. (2014). Improving water-efficient irrigation: Prospects and difficulties of innovative practices. Agricultural water management, 146, 84–94.
Lipczynska-Kochany, E. (2018). Effect of climate change on humic substances and associated impacts on the quality of surface water and groundwater: a review. Science of the Total Environment, 640:1548 1565
Marchane, A., Tramblay, Y., Hanich, L., Ruelland, D & Jarlan, L. (2017). Climate change impacts on surface water resources in the Rheraya catchment (High-Atlas, Morocco). Hydrological Sciences Journal, 62 (6), 979-995. https://doi.org/10.1080/02626667.2017.1283042
Mirzaee, S.Y., Amiri, R. & Chitsazan, M. (2023). Numerical investigation of groundwater fluctuations affected by climate changes in the Khorramabad River basin. Journal of Engineering Geology, 17 (4):506-528. URL: http://jeg.khu.ac.ir/article-1-3091-fa.html
Motawej, H. (2025). Integrating MODFLOW and LSTM models for enhanced groundwater management in the coastal plains of Lattakia Governorate. Water Practice & Technology, Vol 20 No 2, 413. https://doi.org/10.2166/wpt.2025.016
Mirzaee, S.Y., Amiri, R., Chitsazan, M. & Nadri, A. (2023). Evaluation of Maydavood-Dallan Aquifer in Various Management Scenarios Using a Mathematical Model. Journal of Irrigation and Water Engineering, 52(4):308-328. URL: https://doi.org/10.22125/IWE.2023.173303
Morote, A.-F., Olcina, J. & Hernández, M. (2019). The Use of Non-Conventional Water Resources as a Means of Adaptation to Drought and Climate Change in Semi-Arid Regions: South-Eastern Spain. Water, 2019, 11, 93.
Nassery, H.R., Zeydalinejad, N., Alijani, F. & Shakiba, A. (2021). A proposed modelling towards the potential impacts of climate change on a semi‑arid, small‑scaled aquifer: a case study of Iran. Environ Monit Assess (2021) 193:182. https://doi.org/10.1007/s10661-021-08955-w.
Nazeri Tahroudi, M., Hashemi, SR., Ahmadi, F. & Nazeri Tahroudi, Z. (2017). Examining the accuracy of ANFIS, SVM, and GP models in modeling river flow discharge values. Journal of Ecohydrology, Volume 3, Issue 3, Pages 347-361. https://doi.org/10.22059/ije.2016.60024
Patil, N.S., Chetan, N.L., Nataraja, M. & Suthar, S. (2020). Climate change scenarios and their effect on groundwater level in the Hiranyakeshi watershed. Groundwater for Sustainable Development, 100323. https://doi.org/10.1016/j.gsd.2019.100323
Pinarlika, M. & Selek, Z. (2024). Evaluating Operational Performance and Sustainability of Water Supply Reservoirs in the Yesilirmak Basin, Turkey. Water Resources, 2024, Vol. 51, No. 4, pp. 449–461. https://doi.org/10.1134/S0097807823601632
Rahimi Jamnani, M., Kayhomayoon, Z., Arya Azar, N., Ghordoyee Milan, S., Najafi Marghmaleki, S. & Berndtsson, R. (2024) Large discrepancy between future demand and supply of agricultural water in northwestern Iran; evidence from WEAP-MODFLOW-machine learning under the CMIP6 scenario. Computers and Electronics in Agriculture, 216 108505. https://doi.org/10.1016/j.compag.2023.108505
Rashidi, S., Vafakhah, M., Lafdani, EK. & Javadi, MR. (2016). Evaluating the support vector machine for suspended sediment load forecasting based on the gamma test. Arabian Journal of Geosciences, 9: 583.
Sabale, R., Venkatesh, B. & Jose, M. (2022). Sustainable water resource management through conjunctive use of groundwater and surface water: a review. Innovative Infrastructure Solutions, 8:17 https://doi.org/10.1007/s41062-022-00992-9
Sheikha-Bagem Ghaleh, S., Babazadeh, H., Rezaie, H. & Sarai‑Tabrizi, M. (2023). The effect of climate change on surface and groundwater resources using WEAP‑MODFLOW models. Applied Water Science, 13:121. https://doi.org/10.1007/s13201-023-01923-4
Ward, F.A. & Pulido-Velazquez, M. (2008). Water conservation in irrigation can increase water use. Proceedings of the National Academy of Sciences, Sci. USA 2008, 105, 18215–18220