1. Abbaspour, K. C., Faramarzi, M., Seyed Ghasemi, S. and Yang, H., 2009. Assessing the impact of climate change on water resources in Iran. Water Resources Research, 45(W10434), pp.1–16. https://doi.org/10.2113/3.4.1340
2. Abed, E., Meftah, M., Zahiri, A. and Saeidi, P., 2019. Simulation of thermal stratification and eutrophication of Taham dam reservoir using CE-QUAL-W2 model. Journal of Research in Ecology, 7, pp.2510–2521. http://ecologyresearch.info/documents/EC0640.pdf
3. Adineh, M., Bejestan, M. S. and Ghodoosi, H., 2023. Numerical simulation of pressurized flushing at different water levels (Case study: Sefid-Rud Dam). Published in Zenodo. https://doi.org/10.5281/zenodo.10450360
4. Ayoubikia, R., Janatrostami, S., Ashrafzadeh, A. and Shafiei, S. B., 2019. Optimization of regional water resources allocation in sefidroud river basin by social equity approach.[In Persian] https://www.sid.ir/paper/100216/en
5. Entezami, H., Mojarrad, F., Shahabi, H. and Ghaderpour, E., 2024. Spatiotemporal variability in snow and land cover in Sefid-Rud Basin, Iran. Sustainability, 16(21), 9381. https://doi.org/10.3390/su16219381
6. FAO/IIASA/ISRIC/ISS‐CAS/JRC., 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
7. Hadiyan, P. P., Moeini, R. and Ehsanzadeh, E., 2020. Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir. Sustainable Computing: Informatics and Systems, 27, 100401. https://doi.org/10.1016/j.suscom.2020.100401
8. Haghighi, A. T., Sharifi, A., Darabi, H., Mazaheri, M., Mohammadpour, R., Gohari, A. and Klöve, B., 2024. When rain does not run, a fingerprint of uncoordinated water resources development. Journal of Hydrology, 629, 130626.
9. Iranian Water Resources Management Company., 2025. Data Center. Tehran: Iranian Water Resources Management Company.
10. Japan International Cooperation Agency (JICA), 2015. Groundwater Resources Assessment and Management in Central Iran. Final Report. Tehran: Ministry of Energy.
11. Kamyab-Talesh, F., Mousavi, S. F., Khaledian, M., Yousefi-Falakdehi, O. and Norouzi-Masir, M., 2019. Prediction of water quality index by support vector machine: A case study in the Sefidrud Basin, Northern Iran. Water Resources, 46(1), pp.112–116.
12. Kousali, M., Salarijazi, M. and Ghorbani, K., 2022. Estimation of non-stationary behavior in annual and seasonal surface freshwater volume discharged into the Gorgan Bay, Iran. Natural Resources Research, 31(2), pp.835–847.
13. Mehraban, M., Marghmaleki, S. N., Sarang, A. and Azar, N. A., 2024. Developing climate change adaptation pathways in the agricultural sector based on robust decision-making approach (case study: Sefidroud Irrigation Network, Iran). Environmental Monitoring and Assessment, 196(4), 378. https://doi.org/10.1007/s10661-024-12511-7
14. Modabber-Azizi, S., Salarijazi, M. and Ghorbani, K., 2023. A novel approach to recognize the long-term spatial-temporal pattern of dry and wet years over Iran. Physics and Chemistry of the Earth, Parts A/B/C, 131, 103426.
15. Moravatdoust Anarkoli, M., Haeripour, S. and Amirnezhad, R., 2015. Study of Sefidroud River water quality in Roudbar. Journal of Wetland Ecobiology, 7(25), 33–42. .[In Persian] https://sid.ir/paper/174804/en
16. Naderi, M., 2021. Assessing level of water resources management based on water supply and availability concepts. Journal of Cleaner Production, 305, 127086.
17. Nagata, K., Sayyari, M., Inaoka, M. and Yajima, M., 2011. Conflict management of water resources in the Sefidrud River Basin of Iran. Water Resources Management, 6, 63.
18. Nezaratian, H., Zahiri, J. and Kashefipour, S. M., 2018. Sensitivity analysis of empirical and data-driven models on longitudinal dispersion coefficient in streams. Environmental Processes, 5(4), 833–858
19. Noori, R., Maghrebi, M., Jessen, S., Bateni, S. M., Heggy, E., Javadi, S., Noury, M., Pistre, S., Abolfathi, S. and AghaKouchak, A., 2023. Decline in Iran’s groundwater recharge. Nature Communications, 14(1), 6674.
20. Rashedi, S., Hisseini, S. A., Nazif, S. and Cheshmeh, B. G., 2025. Modeling the effects of climate change and land use on flow rate and sedimentation by SWAT model in Anzali Wetland in the north of Iran. Theoretical and Applied Climatology, 156(1), 69.
21. Richter, B. D., Davis, M. M., Apse, C. and Konrad, C., 2012. A presumptive standard for environmental flow protection. River Research and Applications, 28(8), pp.1312–1321.
22. Saadatpour, M. and Kamali, F., 2025. Studying the impact of climate change on spatiotemporal variability of blue and green water resources. Water Supply, 25(2), pp.289–302.
23. Salar-Ashayeri, M., Khaledian, M., Kavoosi-Kalashami, M. and Rezaei, M., 2020. Simulation of water allocation in Sefidroud irrigation and drainage network for sustainability of rice production. Paddy and Water Environment, 18(4), pp.607–621.
24. Salarijazi, M., Ahmadianfar, I. and Yaseen, Z. M., 2024. Prediction enhancement for surface water sodium adsorption ratio using limited inputs: Implementation of hybridized stacked ensemble model with feature selection algorithm. Physics and Chemistry of the Earth, Parts A/B/C, 134, 103561. https://doi.org/10.1016/j.pce.2024.103561
25. Salarijazi, M., Ghorbani, K., Mohammadi, M., Ahmadianfar, I., Mohammadrezapour, O., Naser, M. H. and Yaseen, Z. M., 2023. Spatial-temporal estimation of maximum temperature high returns periods for annual time series considering stationary/nonstationary approaches in Iran urban area. Urban Climate, 49, 101504. https://doi.org/10.1016/j.uclim.2023.101504
26. Shaabani, M. K., Abedi-Koupai, J., Eslamian, S. S. and Gohari, S. A. R., 2024. Simulation of the effects of climate change, crop pattern change, and developing irrigation systems on the groundwater resources by SWAT, WEAP and MODFLOW models: A case study of Fars province, Iran. Environment, Development and Sustainability, 26(4), pp.10485-10511. https://doi.org/10.1007/s10668-023-03157-5
27. Winchell, M., Srinivasan, R., Di Luzio, M. and Arnold, J., 2013. ArcSWAT interface for SWAT2012: User’s Guide. Blackland Research and Extension Center, Texas Agrilife Research. Grassland, Soil and Water Research Laboratory, USDA Agricultural Research Service, Texas. https://www.scirp.org/reference/referencespapers?referenceid=1935534
28. Zhou, X., Leng, Y., Salarijazi, M., Ahmadianfar, I. and Farooque, A. A., 2024. Development of forecasting of monthly SAR time series in river systems: A multivariate data decomposition-based hybrid approach. Process Safety and Environmental Protection, 188, pp.1355–1375. https://doi.org/10.1016/j.psep.2024.06.050
29. Xing, Y., Li, Y., Bai, P., Zhuang, J., Feng, A., Huang, M. and Yan, H., 2024. Spatiotemporal variations of meteorological drought and its dominant factors in different climate regions for the first two decades of the twenty-first century. Theoretical & Applied Climatology, 155(5). https://doi.org/10.1007/s00704-024-04833-w