تحلیل دوره بازگشت‌های توام و شرطی چند مشخصه وابسته آبنمود رواناب با استفاده از توابع مفصل (مطالعه موردی: حوضه آبریز کسیلیان)

Abbasian, M. and S. Jalali (2015). Multivariate Flood Frequency Analysis Using Copula with Parametric and Nonparametric Marginal Distribution Function. Modares Civil Engineering Journal. 14, 81–92. (In Farsi)

Abdul Rauf, U.F. and P. Zeephongsekul (2014). Copula based analysis of rainfall severity and duration: a case study. Theor. Appl. Climatol. 115, 153–166. doi:10.1007/s00704-013-0877-1

Ahmadi, F., Mirabbasi Najafabadi, R. and F. Radmanesh (2015). Application of Joint Deficit Index (JDI) for Analyzing Droughts over the Southern Margin of the Caspian Sea. Iran. J. Soil Water Res. 46, 431–442. doi:10.22059/ijswr.2015.56733 (In Farsi)

Azizabadi-Farahani, M., Bakhtiyari, B., Ghaderi, K. and M. Rezapour (2016). The Survey of Climate Change Impact on Drought Severity- Duration- Frequency Curves Using Copulas. Iran. J. Soil Water Res. 47, 743–754. doi:10.22059/ijswr.2016.59981(In Farsi)

Bacchi, B., Becciu, G. and  Kottegoda (1994). Bivariate exponential model applied to intensities and durations of extreme rainfall. J. Hydrol. 155, 225–236. doi:10.1016/0022-1694(94)90166-X

Bahremand, A., Alvandi, E., Bahrami, M. and M. Dashti heravi (2016). Copula functions and their application in stochastic hydrology. Scientific Journal Management System. 4, 1–20. doi:10.22069/ejang.2016.2793 (In Farsi)

Bender, J., Wahl, T. and J. Jensen (2014). Multivariate design in the presence of non-stationarity. J. Hydrol. 514, 123–130. doi:10.1016/j.jhydrol.2014.04.017

Chen, L., Singh, V.P., Guo, S., Zhou, J., Zhang, J., (2015). Copula-based method for multisite monthly and daily streamflow simulation. J. Hydrol. 528, 369–384. doi:10.1016/j.jhydrol.2015.05.018

De Michele, C., Salvadori, G., Canossi, M., Petaccia, A. and R. Rosso (2005). Bivariate Statistical Approach to Check Adequacy of Dam Spillway. J. Hydrol. Eng. 10, 50–57. doi:10.1061/(ASCE)1084-0699(2005)10:1(50)

Genest, C. and Favre, A., (2007). Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask. J. Hydrol. Eng. 12, 347–368. doi:10.1061/(ASCE)1084-0699(2007)12:4(347)

Ganjalikhani, M., Zounemat-Kermani, M., Rezapour, M., Rahnama, M.B., (2016). Evaluation of Copula Performance in Groundwater Quality Zoning (Case Study: Kerman and Ravar regions). Iran. J. Soil Water Res. 47, 551–560. doi:10.22059/ijswr.2016.59325 (In Farsi)

Joe, H., (1997). Multivariate models and multivariate dependence concepts. CRC Press.

Kao, S.-C., Govindaraju, R.S., (2008). Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas. Water Resour. Res. 44, 1-19. doi:10.1029/2007WR006261

Kao, S.-C., Govindaraju, R.S., (2007). A bivariate frequency analysis of extreme rainfall with implications for design. J. Geophys. Res. Atmospheres. 112, 1-15. doi:10.1029/2007JD008522

Mirabbasi Najafabadi, R., Fakheri-Fard, A., Dinpashoh, Y., Eslamian, S.S., (2014). Longterm Drought Monitoring of Urmia Using Joint Deficit Index (JDI). Water Soil Sci. 23, 87–103. (In Farsi)

Mirabbasi, R., Fakheri-Fard, A., Dinpashoh, Y., (2012). Bivariate drought frequency analysis using the copula method. Theor. Appl. Climatol. 108, 191–206. doi:10.1007/s00704-011-0524-7

Nelsen, R.B., (2006). An Introduction to Copulas. Springer Science & Business Media.

Rahimi, L., Dehghani, A., Abdolhosseini, M., Ghorbani, K., (2014). Flood Frequency Analysis Using Archimedean Copula Functions Based on Annual Maximum Series (Case Study:Arazkuseh Hydrometric Station in Golestan Province). Iranian Journal of Irrigation and Drainage. 8, 353–365. (In Farsi)

Requena, A.I., Chebana, F., Mediero, L., (2016). A complete procedure for multivariate index-flood model application. J. Hydrol. 535, 559–580. doi:10.1016/j.jhydrol.2016.02.004

Salari, M., AkhoundAli, A.M., Adib, A., Daneshkhah, A.R., (2015). Bivariate Flood Frequency Analysis Using the Copula Functions. Journal of Irrigation Science and Engineering. 37, 29–38. (In Farsi)

Salvadori, G., De Michele, C., (2004). Frequency analysis via copulas: Theoretical aspects and applications to hydrological events. Water Resour. Res. 40, 1-7. doi:10.1029/2004WR003133

Salvadori, G., Michele, C.D., Kottegoda, N.T., Rosso, R., (2007). Extremes in Nature: An Approach Using Copulas. Springer Science & Business Media.

Sanikhani, H., Mirabbasi Najafabadi, R., Dinpashoh, Y., (2014). Modeling of Temperature and Rainfall of Tabriz Using Copulas. Irrigation and Water Engineering. 123–133. (In Farsi)

Serinaldi, F., Kilsby, C.G., (2013). The intrinsic dependence structure of peak, volume, duration, and average intensity of hyetographs and hydrographs. Water Resour. Res. 49, 3423–3442. doi:10.1002/wrcr.20221

Shiau, J.T., Feng, S., Nadarajah, S., (2007). Assessment of hydrological droughts for the Yellow River, China, using copulas. Hydrol. Process. 21, 2157–2163.

Shiau, J.T., (2006). Fitting Drought Duration and Severity with Two-Dimensional Copulas. Water Resour. Manag. 20, 795–815. doi:10.1007/s11269-005-9008-9

Shiau, J.T., (2003a). Return period of bivariate distributed extreme hydrological events. Stoch. Environ. Res. Risk Assess. 17, 42–57. doi:10.1007/s00477-003-0125-9

Shiau, J.T., (2003b). Return period of bivariate distributed extreme hydrological events. Stoch. Environ. Res. Risk Assess. 17, 42–57. doi:10.1007/s00477-003-0125-9

Shiau, J.T., Modarres, R., (2009). Copula-based drought severity-duration-frequency analysis in Iran. Meteorol. Appl. 16, 481–489. doi:10.1002/met.145

Snyder, W.M., (1962). Some possibilities for multivariate analysis in hydrologic studies. J. Geophys. Res. 67, 721–729. doi:10.1029/JZ067i002p00721

Vandenberghe, S., Verhoest, N.E.C., Onof, C., De Baets, B., (2011). A comparative copula-based bivariate frequency analysis of observed and simulated storm events: A case study on Bartlett-Lewis modeled rainfall. Water Resour. Res. 47, 1-16. doi:10.1029/2009WR008388

Water Resources Researches Centre of Iran (TAMAB), (2009). Hydrological and Meteorological Reports of Kasilian Watershed for the Period of 1991-92 to 2008-09. (In Farsi)

Wong, S.T., (1963). A multivariate statistical model for predicting mean annual flood in new england. Ann. Assoc. Am. Geogr. 53, 298–311. doi:10.1111/j.1467-8306.1963.tb00451.x

Yue, S., Rasmussen, P., (2002). Bivariate frequency analysis: discussion of some useful concepts in hydrological application. Hydrol. Process. 16, 2881–2898. doi:10.1002/hyp.1185

Zhang, L., Singh, V.P., (2006). Bivariate Flood Frequency Analysis Using the Copula Method. J. Hydrol. Eng. 11, 150–164. doi:10.1061/(ASCE)1084-0699(2006)11:2(150)