شبیه سازی ناایستای خشکسالی هواشناسی بر مبنای شاخص SPIt با استفاده از مدل تعمیم یافته جمعی پارامترهای مکان، مقیاس و شکل

منابع

محیط اصفهانی، پوریا، مدرس، رضا، (1399). مدل‌های جمعی تعمیم یافته برای تحلیل فراوانی نا ایستای سیل، تحقیقات منابع آب ایران، 16 (3)، 387-376. dor: 20.1001.1.17352347.1399.16.3.26.4

محمدرضایی، مریم، سلطانی، سعید، و مدرس، رضا (1401). تأثیرشاخص‌های دمایی انسو بر خشک‌سالی هواشناسی در نیمۀ غربی ایران، مدل‌سازی و مدیریت آب و خاک، 2(2)،13-27. doi: 10.22098/mmws.2022.9632.1053

محمدی، نیلوفر، و حجازی‌زاده، زهرا (1403). اثرات تغییر اقلیم بر افزایش ریسک مخاطره خشک‌سالی در تهران با بهره‌گیری از سناریوهای CMIP6. مدل‌سازی و مدیریت آب و خاک، 4(2)، 133-148.doi: 10.22098/mmws.2023.12563.1252

References

Bayazit, M. (2015). Nonstationarity of hydrological records and recent trends in trend analysis: A state-of-the-art review. Environmental Processes, 2(3), 527–542. doi: 10.1007/s40710-015-0081-7

Bazrafshan, J., & Hejabi, S. (2018). A non-stationary reconnaissance drought index (NRDI) for drought monitoring in a changing climate. Water Resources Management, 32(8), 2611–2624. doi: 10.1007/s11269-018-1947-z

Coles, S., Bawa, J., Trenner, L., & Dorazio, P. (2001). An introduction to statistical modeling of extreme values, 208, page. 208). London:Springer.‏ doi: 10.1007/978-1-4471-3675-0

Chen, C., Peng, T., Singh, V. P., Wang, Y., Zhang, T., Dong, X., Lin, Q., Guo, J., Liu, J., Fan, T., & Wang, G. (2024). Assessment of dynamic hydrological drought risk from a non‐stationary perspective. Hydrological Processes, 38(8). doi: 10.1002/hyp.15267

Das, S., Das, J., & Umamahesh, N. V. (2021). Nonstationary modeling of meteorological droughts: Application to a region in India. Journal of Hydrologic Engineering, 26(2). doi: 10.1061/(ASCE)HE.1943-5584.0002039

Debele, S. E., Strupczewski, W. G., & Bogdanowicz, E. (2017). A comparison of three approaches to non-stationary flood frequency analysis. Acta Geophysica, 65, 863–883. doi: 10.1007/s11600-017-0071-4

El Adlouni, S., Ouarda, T. B. M. J., Zhang, X., Roy, R., & Bobée, B. (2007). Generalized maximum likelihood estimators for the nonstationary generalized extreme value model. Water Resources Research, 43(3). doi: 10.1029/2005WR004545

Fang, W., Huang, Q., Huang, G., Ming, B., Quan, Q., Li, P., Guo, Y., Zheng, X., Feng, G., & Peng, J. (2023). Assessment of dynamic drought-induced ecosystem risk: Integrating time-varying hazard frequency, exposure and vulnerability. Journal of Environmental Management, 342, 118176. doi: 10.1016/j.jenvman.2023.118176

Giraldo Osorio, J. D., & García Galiano, S. G. (2012). Non-stationary analysis of dry spells in monsoon season of Senegal River Basin using data from regional climate models (RCMs). Journal of Hydrology, 450–451, 82–92. doi: 10.1016/j.jhydrol.2012.05.029

Gilleland, E., Ribatet, M., & Stephenson, A. G. (2012). A software review for extreme value analysis. Extremes, 16(1), 103–119. doi: 10.1007/s10687-012-0155-0

Gul, E., Staiou, E., Safari, M. J. S., & Vaheddoost, B. (2023). Enhancing meteorological drought modeling accuracy using hybrid boost regression models: A case study from the Aegean Region, Türkiye. Sustainability, 15(15),11568. doi: 10.3390/su151511568

Khaliq, M. N., Ouarda, T. B. M. J., Ondo, J.-C., Gachon, P., & Bobée, B. (2006). Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review. Journal of Hydrology, 329(3–4), 534–552. doi: 10.1016/j.jhydrol.2006.03.004

Kousali, M., Salarijazi, M., & 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), 835–847. doi: 10.1007/s11053-022-10010-5

López, J., & Francés, F. (2013). Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates. Hydrology and Earth System Sciences, 17(8), 3189–3203. doi: 10.5194/hess-17-3189-2013

Li, J. Z., Wang, Y. X., Li, S. F., & Hu, R. (2015). A nonstationary standardized precipitation index incorporating climate indices as covariates. Journal of Geophysical Research: Atmospheres, 120(23). doi: 10.1002/2015JD023920

Li, J., Lei, Y., Tan, S., Bell, C. D., Engel, B. A., & Wang, Y. (2018). Nonstationary flood frequency analysis for annual flood peak and volume series in both univariate and bivariate domain. Water Resources Management, 32(13), 4239–4252. doi: 10.1007/s11269-018-2041-2

Lan, T., Lin, K., Xu, C.-Y., Tan, X., & Chen, X. (2020). Dynamics of hydrological-model parameters: Mechanisms, problems and solutions. Hydrology and Earth System Sciences, 24(3), 1347–1366. doi: 10.5194/hess-24-1347-2020

Luke, A., Vrugt, J. A., AghaKouchak, A., Matthew, R., & Brett, F. S. (2017). Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States. Water Resources Research, 53(7), 5469–5494. doi: 10.1002/2016WR019676

Mianabadi, A., Bateni, M. M., & Babaei, M. (2024). Projection of future non-stationary intensity-duration-frequency curves using the pooled CMIP6 climate models. Natural Hazards, 120, 14311–14332. doi: 10.1007/s11069-024-06779-8

Modarres, R., Sarhadi, A., & Burn, D. H. (2016). Changes of extreme drought and flood events in Iran. Global and Planetary Change, 144, 67–81.

Mohammadrezaei, M., Soltani, S. & Modarres, R. (2022). Effect of Enso indices on meteorological drought in the midwest of Iran, Water and Soil Management and Modeling, 2(2), 13-27. doi: 10.22098/mmws.2023.12563.1252 [In Persian]

Mohammadi, N., & Hejazizadeh, Z. (2024). The effects of climate change on increasing the risk of drought in Tehran using CMIP6 scenarios. Water and Soil Management and Modeling, 4(2), 133- 148. doi: 10.22098/mmws.2023.12563.1252 [In Persian]

Naghettini, M. (2017). Fundamentals of Statistical Hydrology (Springer). doi:10.1007/978-3-319-43561-9

Mohit Isfahani, P., & Modarres, R. (2020). The generalized additive models for non-stationary flood frequency analysis. Iran-Water Resources Research, 16(3), 376–387. dor: 20.1001.1.17352347.1399.16.3.26.4 [In Persian]

Pasho, E., Camarero, J. J., de Luis, M., & Vicente-Serrano, S. M. (2011). Impacts of drought at different time scales on forest growth across a wide climatic gradient in north-eastern Spain. Agricultural and Forest Meteorology, 151(12), 1800–1811. doi: 10.1016/j.agrformet.2011.07.018

Park, J., Sung, J. H., Lim, Y.-J., & Kang, H.-S. (2018). Introduction and application of non-stationary standardized precipitation index considering probability distribution function and return period. Theoretical and Applied Climatology, 136(1–2), 529–542. doi: 10.1007/s00704-018-2500-y

Rigby, R. A., & Stasinopoulos, D. M. (2005). Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society Series C: Applied Statistics, 54(3), 507–554. doi: 10.1111/j.1467-9876.2005.00510.x

Rigby, R. A., Stasinopoulos, D. M., Heller, G., & De Bastiani, F. (2018). Distributions for modelling location, scale and shape: Using GAMLSS in R. Retrieved from www.gamlss.org

Russo, S., Dosio, A., Sterl, A., Barbosa, P., & Vogt, J. (2013). Projection of occurrence of extreme dry–wet years and seasons in Europe with stationary and nonstationary standardized precipitation indices. Journal of Geophysical Research: Atmospheres, 118(14), 7628–7639. doi: 10.1002/jgrd.50571

Rashid, M. M., & Beecham, S. (2019). Development of a non-stationary standardized precipitation index and its application to a South Australian climate. Science of The Total Environment, 657, 882–892. doi: 10.1016/j.scitotenv.2018.12.052

Salas, J. D., Obeysekera, J., & Vogel, R. M. (2018). Stationarity is dead: Whither water management? Journal of Water Resources Planning and Management, 144(10). doi: 10.1061/(ASCE)WR.1943-5452.0000994

Strupczewski, W. G., Singh, V. P., & Feluch, W. (2001). Non-stationary approach to at-site flood frequency modelling I. Maximum likelihood estimation. Journal of Hydrology, 248(1–4), 123–142. doi:10.1016/s0022-1694(01)00397-3

Stasinopoulos, D. M., & Rigby, R. A. (2007). Generalized Additive Models for Location Scale and Shape (GAMLSS) in R. Journal of Statistical Software, 23(7). doi: 10.18637/jss.v023.i07

Strupczewski, W. G., Kochanek, K., Feluch, W., Bogdanowicz, E., & Singh, V. P. (2009). On seasonal approach to nonstationary flood frequency analysis. Physics and Chemistry of the Earth, Parts A/B/C, 34(10–12), 612–618. doi: 10.1016/j.pce.2008.10.067

Sarhadi, A., Burn, D. H., Concepción Ausín, M., & Wiper, M. P. (2016). Time‐varying nonstationary multivariate risk analysis using a dynamic Bayesian copula. Water Resources Research, 52(3), 2327–2349. doi: 10.1002/2015wr018525

Türkeş, M., & Tatlı, H. (2009). Use of the standardized precipitation index (SPI) and a modified SPI for shaping the drought probabilities over Turkey. International Journal of Climatology, 29(15), 2270–2282. doi: 10.1002/joc.1862

Vasiliades, L., Galiatsatou, P., & Loukas, A. (2014). Nonstationary frequency analysis of annual maximum rainfall using climate covariates. Water Resources Management, 29(2), 339–358. doi: 10.1007/s11269-014-0761-5

Wang, Y., Li, J., Feng, P., & Hu, R. (2015). A time-dependent drought index for non-stationary precipitation series. Water Resources Management, 29(15), 5631–5647. doi: 10.1007/s11269-015-1138-0

Wang, Y., Duan, L., Liu, T., Li, J., & Feng, P. (2020). A non-stationary standardized streamflow index for hydrological drought using climate and human-induced indices as covariates. Science of The Total Environment, 699, 134278. doi: 10.1016/j.scitotenv.2019.134278

Wang, Y., Peng, T., He, Y., Singh, V. P., Lin, Q., Dong, X., Fan, T., Liu, J., Guo, J., & Wang, G. (2023). Attribution analysis of non-stationary hydrological drought using the GAMLSS framework and an improved SWAT model. Journal of Hydrology, 627, 130420. doi: 10.1016/j.jhydrol.2023.130420

Xiong, L., Du, T., Xu, C.-Y., Guo, S., Jiang, C., & Gippel, C. J. (2015). Non-stationary annual maximum flood frequency analysis using the norming constants method to consider non-stationarity in the annual daily flow series. Water Resources Management, 29(10), 3615–3633. doi: 10.1007/s11269-015-1019-6

Yan, L., Xiong, L., Guo, S., Xu, C.-Y., Xia, J., & Du, T. (2017). Comparison of four nonstationary hydrologic design methods for changing environment. Journal of Hydrology, 551, 132–150. doi: 10.1016/j.jhydrol.2017.06.001

Yılmaz, M., & Tosunoğlu, F. (2024). Non-stationary low flow frequency analysis under climate change. Theoretical and Applied Climatology, 155(8), 7479–7497. doi: 10.1007/s00704-024-05081-8

Zhang, T., Su, X., Wu, L., & Chu, J. (2023). Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings. Journal of Hydrology, 626, 130372. doi: 10.1016/j.jhydrol.2023.130372