تحلیل شوری آبهای زیرزمینی سواحل دریای خزر با استفاده از الگوریتم های فراابتکاری

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Babaali, H.R., Nohani, E., Dehghani, R.(2024).Assessment of Groundwater Hardness in Khorramabad Plain Using Hybrid Models Based on Metaheuristic Algorithms. Journal of Aquifer and Qanat, 5(1),125-138. 10.22077/jaaq.2025.8579.1083 .(In Persian)

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Chen, X., & Zhang, H. (2021). Estimating groundwater salinity using a hybrid SVR-PSO model in the North China Plain. Environmental Modelling & Software, 145, 105198. https://doi.org/10.1016/j.envsoft.2021.105198

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Dehghani, R., Chamanpira, R. (2025).Metaheuristic-optimized SVR models for daily streamflow forecasting in the Karkheh River Basin, Iran.Desalination and Water Treatment, 324, 446-457.https://doi.org/10.1016/j.dwt.2025.101446

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Nohani, E., Babaali, H.R., Dehghani, R.(2024).Evaluation of metaheuristic models in groundwater level analysis of Delfan Plain, Lorestan. Journal of Aquifer and Qanat, 5(2),79-98. 10.22077/jaaq.2025.8834.1096.(In Persian)

Nohani, E., Babaali, H.R., Dehghani, R.(2025).The Impact of Climate Change Parameters on Groundwater Level Decline (Case Study: Kuhdasht-Lorestan). Journal of Aquifer and Qanat, 6(1),87-106. 10.22077/jaaq.2025.9841.1119.(In Persian)

Norouzi Khatiri, K., Nematollahi, B., Hafeziyeh, S., Niksokhan, M.H., Nikoo, M.R., Al-Rawas, G. (2023).Groundwater Management and Allocation Models: A Review. Water, 15, 253-270.https://doi.org/10.3390/w15020253.

Pijarski, P., & Kacejko, P. (2019). A new metaheuristic optimization method: the algorithm of the innovative gunner (AIG). Engineering Optimization, 51(12), 2049-2068.10.1080/0305215X.2019.1565282

Rajaee, T., Ebrahimi, H., Nourani, V. (2019). A review of the artificial intelligence methods in groundwater level modeling. Journal of Hydrology, 572, 336–351.https://doi.org/10.1016/j.jhydrol.2018.12.037.

Rajaee, T., Khani, S., Ravansalar, M. (2022). Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review.Chemometrics and Intelligent Laboratory Systems, 200(3), 1039-1055.https://doi.org/10.1016/j.chemolab.2020.103978

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Yamamoto, T., & Kuroki, S. (2023). A comparative analysis of bio-inspired optimization algorithms (AEO, GWO, COA) for tuning SVR parameters in groundwater salinity prediction. Agricultural Water Management, 284, 108333. https://doi.org/10.1016/j.agwat.2023.108333

Yousefi, S., Avand, M., Yariyan, P., Pourghasemi, H.R., Keesstra, S., Tavangar, S., Tabibian, S. (2020). A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator of change. Ecological Indicators, 117, 106591.https://doi.org/10.1016/j.ecolind.2020.106591

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Zeidalinejad, N., Dehghani, R.(2023). Use of meta-heuristic approach in the estimation of the aquifer's response to climate change under shared socioeconomic pathways. Groundwater for Sustainable Development, 20(4), 112-132. https://doi.org/10.1016/j.gsd.2022.100882