کاربرد سناریوهای CMIP6 برای ارزیابی اثرات تغییر اقلیم بر رواناب ورودی به سد ستارخان اهر با استفاده از مدل IHACRES

Alioghli S, and Sattari MT, 2024. Evaluation of water resources allocation scenarios of Mahabad basin under the influence of climate change using the WEAP model. Water and Soil Science, 34(3), 39-50. https://doi.org/10.22034/ws.2024.58215.2533 [In Persian].

Allahverdipour P, and Sattari MT, 2023. Comparing the performance of the multiple linear regression classic method and modern data mining methods in annual rainfall modeling (Case study: Ahvaz city). Water and Soil Management and Modeling, 3(2), 125-142. https://doi.org/10.22098/mmws.2022.11337.1120 [In Persian].

Allahverdipour P, Ghorbani MA, and Asadi, E, 2024. Evaluating the effects of climate change on the climatic classification in Iran. Water and Soil Management and Modeling, 4(3), 95-112. https://doi.org/10.22098/mmws.2023.12755.1271 [In Persian].

Allahverdipour P, and Sattari MT, 2024. Investigating the maximum wind speed and wind direction of synoptic stations in the east of Lake Urmia. Geography and Environmental Hazards, 13(4), 197-221. https://doi.org/10.22067/geoeh.2024.86654.1464 [In Persian].

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Dinpashoh Y, and Allahverdipour P, 2025. Monitoring and predicting changes in reference evapotranspiration in the Moghan Plain according to CMIP6 of IPCC. Environment and Water Engineering, 11(1), 47-56. https://doi.org/10.22034/ewe.2024.466037.1947

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Ghorbani Dailari M, Darbandi S, Asadi E, and Samadian M, 2021. Simulation of parameters affecting the river flow trend using the IHACRES rainfall-runoff model in future periods (case study: Zolachai River). Ecohydrology, 8(1), 177-193. https://doi.org/10.22059/ije.2021.311773.1394 [In Persian].

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Hafezparast M, and Marabi S, 2021. Prediction of discharge using artificial neural network and IHACRES models due to climate change. Renewable Energy and Environment, 8(3), 75-85. https://doi.org/10.30501/jree.2021.257941.1162

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Mohammadi M, and Allahverdipour P, 2024. Uncertainty analysis of artificial neural network (ANN) and support vector machine (SVM) models in predicting monthly river flow (Case study: Ghezelozan River). Water and Soil Management and Modeling, 4(2), 311-326. https://doi.org/10.22098/mmws.2023.12702.1267 [In Persian].

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