Aligolinia, T., Majd, N. R., & Jaribi, A. H. (2019). Evaluation and comparison of drought in West Azerbaijan using the SPI, CZI, PNI indices and geographic information system (GIS). Irrigation Sciences and Engineering, 42(1), 175-188. doi: https://doi.org/10.22055/jise.2017.20678.1496. (In Persian)
Anonymous. (2016). The 2016 national population and housing censuses. Statistical center of Iran. Available on: https://amar.org.ir.
Anonymous. (2024). The Qaen synoptic meteorological station data. Iran meteorological organization data center. Available on: https://www.irimo.ir.
Asadi, A., Akbari, E., & Shafiey, N. (2020). Predicting the physical development of Qaen city using satellite images. Spatial Planning, 10(1), 67-84. doi: https://dx.doi.org/10.22108/sppl.2019.114824.1336. (In Persian)
Bavand, P., Moteshaffeh, B., & Hashem Geloogrdi, S. (2024). Comparison of SPI, PNPI, RAI and SIAP indices in analyzing meteorological drought conditions in the Zohreh-Jarrahi watershed. Journal of Arid Biome,14(2), 145-159. doi: http://doi.org/10.29252/aridbiom.2025.22482.2036. (In Persian)
Foruzanmehr, M., & Khozeymehnezhad, H. (2023). Investigation of spatial and temporal changes of qualitative parameters of Qaen plain aquifer using interpolation methods. Journal of Aquifer and Qanat, 4(1), 1-15. doi: https://doi.org/10.22077/jaaq.2023.5130.1045. (In Persian)
Chen, D., & Chen, H. W. (2013). Using the Köppen classification to quantify climate variation and change: an example for 1901–2010. Environmental Development, 6, 69-79. doi: https://doi.org/10.1016/j.envdev.2013.03.007.
Choukri, M., Naimi, M., & Chikhaoui, M. (2023). Drought characterization: a systematic literature review. SAINS TANAH-Journal of Soil Science and Agroclimatology, 20(2), 250-264. doi: https://doi.org/10.20961/stjssa.v20i2.77206.
Cui, D., Liang, S., & Wang, D. (2021). Observed and projected changes in global climate zones based on Köppen climate classification. Wiley Interdisciplinary Reviews: Climate Change, 12(3), e701. doi: https://doi.org/10.1002/wcc.701.
Değerli Şimşek, S., & Turhan, E. (2025). An evaluation of spatiotemporal changes of meteorological drought in the Mediterranean sub-basins in Türkiye using discrepancy precipitation and standardized precipitation index. Natural Hazards, 121(2), 2293-2322. doi: https://doi.org/10.1007/s11069-024-06906-5.
Elhoussaoui, A., Zaagane, M., & Benaabidate, L. (2021). Comparison of various drought indices for assessing drought status of the Northern Mekerra watershed, northwest of Algeria. Arabian Journal of Geosciences, 14(10), 915. doi: https://doi.org/10.1007/s12517-021-07269-y.
Gümüş, M. G., Çiftçi, H. Ç., & Gümüş, K. (2025). Determination of the performance of training algorithms and activation functions in meteorological drought index prediction with nonlinear autoregressive neural network. Earth Science Informatics, 18(2), 197. doi: https://doi.org/10.1007/s12145-025-01711-5.
Habibi, M., Babaeian, I., & Schöner, W. (2021). Changing causes of drought in the Urmia lake basin—increasing influence of evaporation and disappearing snow cover. Water, 13(22), 3273. doi: http://doi.org/10.3390/w13223273.
Hajarian, A. (2025). Meteorological drought risk monitoring and zoning using Random Forest model. Journal of Drought and Climate Change Research, 3(1), 83-94. doi: https://doi.org/10.22077/jdcr.2025.8551.1093. (In Persian)
Heidarzadeh, N., Eghbal, M., Esmaeili, N., & Panaghi, K. (2024). Predicting the impact of climate change on the area of wetlands using remote sensing. Theoretical and Applied Climatology, 155(6), 5593-5606. doi: https://doi.org/10.1007 / s00704-024-04969-9.
Heydari Alamdarloo, E., Khosravi, H., Nasabpour, S., & Gholami, A. (2020). Assessment of drought hazard, vulnerability and risk in Iran using GIS techniques. Journal of Arid Land, 12(6), 984-1000. doi: https://doi.org/10.1007/s40333-020-0096-4.
Jeong, M. S., Park, S. Y., Kim, Y. J., Yoon, H. C., & Lee, J. H. (2024). Identification of propagation characteristics from meteorological drought to hydrological drought using daily drought indices and lagged correlations analysis. Journal of Hydrology: Regional Studies, 55, 101939. doi: https://doi.org/10.1016/j.ejrh.2024.101939.
Kalvová, J., Halenka, T., Bezpalcová, K., & Nemešová, I. (2003). Köppen climate types in observed and simulated climates. Studia Geophysica et Geodaetica, 47(1), 185-202. doi: https://doi.org/10.1023/A:1022263908716.
Kartal, V., & Nones, M. (2024). Assessment of meteorological, hydrological and groundwater drought in the Konya closed basin, Türkiye. Environmental Earth Sciences, 83(9), 285. doi: https://doi.org/10.1007/s12665-024-11587-1.
Kendall, M. G (1975) Rank correlation measures. Charles Griffin, London 212:15.
Korkmaz, M., & Kuriqi, A. (2024). Regional climate change and drought dynamics in Tunceli, Turkey: insights from drought indices. Water Conservation Science and Engineering, 9(2), 49. doi: https://doi.org/10.1007/s41101-024-00281-9.
Lotfirad, M., Esmaeili-Gisavandani, H., & Adib, A. (2022). Drought monitoring and prediction using SPI, SPEI, and Random Forest model in various climates of Iran. Journal of Water and Climate Change, 13(2), 383-406. doi: https://doi.org/10.2166/wcc.2021.287.
Lotfinasabasl, S., Khosroshahi, M., Saeedifar, Z., & Dargahiyan, F. (2019). Precipitation trend analysis and drought assessment of Jazmorian basin using trend analysis methods and optimized drought indices. Iranian Journal of Range and Desert Research, 25(4), 923-924. doi: https://doi.org/10.22092/ijrdr.2019.118624. (In Persian)
Mahmoudi, P., Rigi, A., & Miri Kamak, M. (2019). A comparative study of precipitation-based drought indices with the aim of selecting the best index for drought monitoring in Iran. Theoretical and Applied Climatology, 137(3), 3123-3138. doi: https://doi.org/10.1007 / s00704-019-02778-z.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica: Journal of the econometric society, 13(3), 245-259. doi: https://doi.org/10.2307/1907187.
McKee, T. B., Doesken, N. J., & Kleist, J. (1993) The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, 17(22):179-183.
Menna, B. Y., Mesfin, H. S., Gebrekidan, A. G., Siyum, Z. G., & Tegene, M. T. (2022). Meteorological drought analysis using copula theory for the case of upper Tekeze river basin, northern Ethiopia. Theoretical and Applied Climatology, 149(1), 621-638. doi: https://doi.org/10.1007 / s00704-022-04061-0.
Mersin, D., Gulmez, A., Safari, M. J. S., Vaheddoost, B., & Tayfur, G. (2022). Drought assessment in the Aegean region of Turkey. Pure and Applied Geophysics, 179(8), 3035-3053. doi: https://doi.org/10.1007 / s00024-022-03089-7.
Miralizadeh, A., Hejabi, S. and Kouchakzadeh, M. (2023). Investigation of the hydrological drought of groundwater using HDMI index in Urmia plain. Journal of Drought and Climate change Research, 1(3), 57-72. doi: https://doi.org/10.22077/jdcr.2023.6432.1025. (In Persian)
Molaei, M., & Gravand, P. (2018). Investigation of PN, SIAP, RAI indices in Khuzestan province with emphasis on Ahwaz, Abadan, Dezful and Omidieh stations. Water Engineering, 6(2), 132-143. URL: https://sanad.iau.ir/en/Journal/jwe/Article/1024412. (In Persian)
Oubaha, A., Ongoma, V., Hssaine, B. A., Bouchaou, L., & Chehbouni, A. (2024). Evaluation of the performance of meteorological drought indices in Morocco: a case study of different climatic zones. International Journal of Climatology, 44(11), 4009-4031. doi: https://doi.org/10.1002/joc.8565.
Porhemmat, J., & Altafi Dadgar, M. (2023). Analysis of hydrological drought indices in Alpine Zagros mountains of Iran. Arabian journal of geosciences, 16(11), 594. doi: https://doi.org/10.1007/s12517-023-11666-w.
Safdar, M., Shahid, M. A., Zaman, M., Rasul, F., Muzammal, H., Raza, A., Sabir, R. M., & Zafar, U. (2023). Drought monitoring with multiple indices and management through various techniques: a review. Engineering Proceedings, 56(1), 307. doi: https://doi.org/10.3390/ASEC2023-16602.
Şener, E., & Davraz, A. (2024). Comparison of drought indices in the analysis of temporal and spatial changes of climatic drought events: a case study in the Egirdir lake basin (Isparta/Turkey). Natural Hazards, 120(14), 12817-12849. doi: https://doi.org/10.1007/s11069-024-06711-0.
Singh, U., Agarwal, P., & Sharma, P. K. (2022) Meteorological drought analysis with different indices for the Betwa river basin, India. Theoretical and Applied Climatology, 148(3):1741-1754. doi: https://doi.org/10.1007 / s00704-022-04027-2.
Soylu Pekpostalci, D., Tur, R., Danandeh Mehr, A., Vazifekhah Ghaffari, M. A., Dąbrowska, D., & Nourani, V. (2023). Drought monitoring and forecasting across Turkey: a contemporary review. Sustainability, 15(7), 6080. doi: https://doi.org/10.3390/su15076080.
Willeke, K., Lin, X., & Grinshpun, S. A. (1998). Improved aerosol collection by combined impaction and centrifugal motion. Aerosol Science and technology, 28(5), 439-456. doi: https://doi.org/10.1080/02786829808965536.
Yuce, M. I., & Esit, M. (2021). Drought monitoring in Ceyhan basin, Turkey. Journal of Applied Water Engineering and Research, 9(4), 293-314. doi: https://doi.org/10.1080/23249676.2021.1932616.
Zamani, H., Pakdaman, Z., Shakari, M., Bazrafshan, O., & Jamshidi, S. (2025). Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran. Environmental Science and Pollution Research, 32(9), 5605-5627. doi: https://doi.org/10.1007/s11356-025-36049-4.
Zareiee, A. R. (2014). Evaluation of changes in different climates of Iran, using De Martonne index and Mann–Kendall trend test. Natural Hazards and Earth System Sciences Discussions, 2(3), 2245-2261. doi: https://doi.org/10.5194/nhessd-2-2245-2014.