___

• Awange, J. L., Mpelasoka, F., Goncalves, R. M., Science of the Total Environment When every drop counts: Analysis of Droughts in Brazil for the 1901-2013 period. Science of the Total Environment, 566–567, 1472–1488, 2016. http://doi.org/10.1016/j.scitotenv.2016.06.031
• Bates, B. C., Kundzewicz, Z. W., Wu, S., Palutikof (Eds.) J. P., Climate Change and Water, Tech. Pap. VI, Intergovernmental Panel on Clim. Change, Geneva, Switzerland, 2008.
• Brooks, N., Adger, W., Kelly, P., The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation. Glob. Environ. Change 15, 151-163, 2005.
• Dabanlı, İ., Mishra A.K., Şen, Z., "Long-term spatio-temporal drought variability in Turkey." Journal of Hydrology 552: 779-792, 2017. https://doi.org/10.1016/j.jhydrol.2017.07.038
• Dabanlı, İ., Şen, Z., Yeleğen, M. Ö., Şişman, E., Selek, B., Güçlü, Y. S., Trend Assessment by the Innovative-Şen Method. Water Resources Management, 30(14), 5193–5203, 2016. http://doi.org/10.1007/s11269-016-1478-4.
• Dahal, P., Shrestha, N. S., Shrestha, M. L., Krakauer, N. Y., Panthi, J., Pradhanang, S. M., … Lakhankar, T., Drought risk assessment in central Nepal: temporal and spatial analysis. Natural Hazards, 80(3), 1913–1932, 2015. http://doi.org/10.1007/s11069-015-2055-5
• Dai, A., Drought under global warming: A review. Wiley Interdisciplinary Reviews: Climate Change, 2(1), 45–65, 2011. http://doi.org/10.1002/wcc.81
• Eakin, H., Conley, J., Climate variability and the vulnerability of ranching in southeastern Arizona: a pilot study. Clim. Res. 21, 271-282, 2002.
• Ekrami, M., Fatehi, A., Jalal, M., Drought vulnerability mapping using AHP method in arid and semiarid areas: a case study for Taft Township, Yazd. Environmental Earth Sciences, 75(12), 1–13, 2016. http://doi.org/10.1007/s12665-016-5822-z
• Fontaine, M. M., Steinemann, A. C., Assessing vulnerability to natural hazards: impact-based method and application to drought in Washington state. Nat. Hazards Review. NHR 10, 11-18, 2009.
• Gampe, D., Ludwig, R., Qahman, K., Afifi, S., Applying the Triangle Method for the parameterization of irrigated areas as input for spatially distributed hydrological modeling- Assessing future drought risk in the Gaza Strip (Palestine). Science of the Total Environment, 543, 877–888, 2016. http://doi.org/10.1016/j.scitotenv.2015.07.098
• Guttman, N. B., Accepting the Standardized Precipitation Index: a Calculation Algorithm1. JAWRA Journal of the American Water Resources Association, 35(2), 311–322, 1999. http://doi:10.1111/j.1752-1688.1999.tb03592.x
• Güçlü, Y. S., Şen, Z., Hydrograph estimation with fuzzy chain model, 538, 587–597, 2016. http://doi.org/10.1016/j.jhydrol.2016.04.057
• Hao, Z., AghaKouchak, A., Multivariate standardized drought index: a parametric multi-index model. Adv. Water Resour. 57, 12–18, 2013.
• Jia, H., Wang, D. P. J., Risk mapping of integrated natural disasters in China. Natural Hazards, 80(3), 2023–2035, 2016. http://doi.org/10.1007/s11069-015-2057-3.
• Jin, J., Wang, W., Wang, X., Adapting agriculture to the drought hazard in rural China: household strategies and determinants. Natural Hazards, 82(3), 1609–1619, 2016. http://doi.org/10.1007/s11069-016-2260-x
• Kao, S. C., Govindaraju, R. S., A copula-based joint deficit index for droughts. J. Hydrol. 380 (1–2), 121–134, 2010.
• Kim, D. W., Byun, H. R., Choi, K. S., Oh, S. B., A spatiotemporal analysis of historical droughts in Korea. J. Appl. Meteorol. Clim. 50, 1895-1912, 2011.
• Kim, H., Park, J., Yoo, J., Kim, T. Assessment of drought hazard, vulnerability, and risk: A case study for administrative districts in South Korea. Journal of Hydro-Environment Research, 9(1), 28–35, 2015. http://doi.org/10.1016/j.jher.2013.07.003
• Lin, M. L., Chu, C. M., Tsai, B. W., Drought risk assessment in western Inner-Mongolia. Int. J. Environ. Res. 5(1), 139-148, 2011.
• Mamdani, E. H., Assilian S., An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies, 7(1), 1-13, 1975.
• McKee, T. B., Doesken, N. J., Kleist, J., The relationship of drought frequency and duration time scales. In: Eighth Conference on Applied Climatology. American Meteorological Society, Anaheim, California, 1993.
• Metzger, M. J., Leemans, R., Schr€oter, D., A multidisciplinary multiscale framework for assessing vulnerabilities to global change. Int. J. Appl. Earth Obs. 7, 253-267, 2005.
• Mishra, A. K., Desai, V. R., Spatial and temporal drought analysis in the Kansabati river basin, India. International Journal of River Basin Management, 3(1), 31–41, 2005. http://doi.org/10.1080/15715124.2005.9635243.
• Mishra, A. K., Singh, V. P., A review of drought concepts. Journal of Hydrology, 391(1-2), 202–216, 2010. http://doi.org/10.1016/j.jhydrol.2010.07.012
• Nam, W., Hayes, M. J., Svoboda, M. D., Tadesse, T., Wilhite, D. A., Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management, 160, 106–117, 2015. http://doi.org/10.1016/j.agwat.2015.06.029
• Pei, W., Fu, Q., Li, D. L. T., Assessing agricultural drought vulnerability in the Sanjiang Plain based on an improved projection pursuit model. Natural Hazards, 82(1), 683–701, 2016. http://doi.org/10.1007/s11069-016-2213-4
• Rahman, R., Lateh, H., Meteorological drought in Bangladesh: assessing, analyzing and hazard mapping using SPI, GIS and monthly rainfall data. Environmental Earth Sciences, 75(12), 1–20, 2016. http://doi.org/10.1007/s12665-016-5829-5
• Rajsekhar, D., Singh, V. P., Mishra, A. K., Integrated drought causality, hazard, and vulnerability assessment for future socioeconomic scenarios: An information theory perspective, 6346–6378, 2015. http://doi.org/10.1002/2014JD022670.
• Santos, F., Pulido-calvo, I., Portela, M. M., Spatial and temporal variability of droughts in Portugal, 46, 1–13, 2010. http://doi.org/10.1029/2009WR008071.
• Sarhadi, A., Burn, D. H., Ausin, M. C. Wiper, M. P., Time-varying nonstationary multivariate risk analysis using a dynamic Bayesian copula, Water Resour. Res., 52, 2327–2349, 2016. http://doi.org/10.1002/2015WR018525.
• Shahid, S., Behrawan, H., Drought risk assessment in the western part of Bangladesh. Nat. Hazards, 46, 391-413, 2008.
• Şen, Z., Wet and dry periods of annual flow series. Journal of Hydrology, 102, 1503–1514, 1976.
• Şen, Z., Autorun analysis of hydrological time series. Journal of Hydrology, 36, 75–85, 1978.
• Şen, Z., Probabilistic formulation of spatio-temporal drought pattern. Theoretical and Applied Climatology, 61(3-4), 197–206, 1998. http://doi.org/10.1007/s007040050064
• Şen, Z., Fuzzy logic and system models in water sciences. Turkish Water Foundation, İstanbul, 2004.
• Şen, Z., Applied Drought Modeling, Prediction, and Mitigation, 1st Edition, Elsevier, Amsterdam, 2015.
• Toprak, Z.F., Flow Discharge Modeling in Open Canals Using a New Fuzzy Modeling Technique (SMRGT), Clean-Soil Air Water 37(9): 742-752, 2009.
• Tosunoglu, F., Can, I., Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey. Natural Hazards, 82(3), 1457–1477, 2016. http://doi.org/10.1007/s11069-016-2253-9
• Tsakiris, G., Pangalou, D., Vangelis, H., Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resour. Manage. 21(5), 821–833, 2007.
• UNDP, United Nation Development Program, Reducing Disaster Risk: a Challenge for Development. John S. Swift Co, New York, 2004.
• Vasiliades, L., Loukas, A., Hydrological response to meteorological drought using the Palmer drought indices in Thessaly, Greece. Desalination, 237(1–3), 3–21, 2009. http://doi.org/10.1016/j.desal.2007.12.019
• Venkataraman, K., Tummuri, S., Medina, A., Perry, J., 21st century drought outlook for major climate divisions of Texas based on CMIP5 multimodel ensemble: Implications for water resource management. Journal of Hydrology, 534, 300–316, 2016. http://doi.org/10.1016/j.jhydrol.2016.01.001
• Verdon-Kidd, D. C., Kiem, A. S., Quantifying drought risk in a nonstationary climate. J. Hydrometeorol., 11, 1019-1031, 2010.
• Vicente-Serrano, S. M., Spatial and temporal analysis of droughts in the Iberian Peninsula (1910– 2000), Hydrol. Sci. J., 51(1), 83–97, 2006. http://doi.org/10.1623/hysj.51.1.83.
• Vicente-Serrano, S. M., Begueria, S., Lopez-Moreno, J. I., A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J. Climate 23(7), 1696–1718, 2010.
• Wang, Y., Zhang, Q., Singh, V. P., Spatiotemporal patterns of precipitation regimes in the Huai River basin, China, and possible relations with ENSO events. Natural Hazards, 82(3), 2167–2185, 2016. http://doi.org/10.1007/s11069-016-2303-3
• Wilhite, D., Drought: A Global Assessment, Vol. I, pp. 3–18, London: Routledge, 2000.
• Wilhelmi, O. V., Wilhite, D. A., Assessing vulnerability to agricultural drought: a Nebraska case study. Nat. Hazards, 25, 37-58, 2002.
• Xu, K., Yang, D., Yang, H., Li, Z., Qin, Y., Shen, Y., Spatio-temporal variation of drought in China during 1961-2012: A climatic perspective. Journal of Hydrology, 526(7), 253–264, 2015. http://doi.org/10.1016/j.jhydrol.2014.09.047