ارزیابی و پهنه‌بندی ریسک وقوع بارش‌های حدی در غرب ایران

1.Alijani, B., Brien, J., and Yarnal, B. 2008. Spatial analysis of precipitation intensityand concentration in Iran. Theor. Appl.Climatol. 94: 1. 107-124.
2.Anagnostopouloul, Ch., and Tolika, K.2011. Extremeprecipitation in Europe:statistical threshold selection based onclimatological criteria, J. Theor. Appl.Climatol. 15: 479-489.
3.Azhdary Moghaddam, M., and Heravi, Z.2018. Evaluation of IDF curve productionmethods by relationship based on nature ofcombination of fractal of precipitation. J.Water Soil Cons. 24: 6. 271-282. (In Persian)
4.Below, R., Wirtz, A., and Sapir, D.2009. Disaster Category Classificationand Peril Terminology for Operational -Kanchebe, D.E. and Abudu, K.R. 2012.Vulnerability of crop production to heavy
precipitation in north- eastern Ghana. Int.J. Clim. Chang. Str. Manag. 4: 1. 36-53.
5.Borzoi, F., and Azizi, Gh. 2015.Suggesting a Simple Criterion to EstimateHeavy Rainfall in Iran. NaturalGeographic Researches. 47: 3. 347-365.(In Persian)
6.Darand, M. 2015. Recognition ofhomogeneous regions of heavy and superheavy precipitation in Iran by intergroupvariance quality control indices. J. Agric.Meteorol. 3: 1. 40-57. (In Persian)
7.IPCC. 2007. Climate Change. 2007.The Physical Science Basis, AContribution of Working Groups. I, to theForth Assessment Report of theIntergovernmental Panel on ClimateChange, Solomon and the Core WritingTeam (eds). Cambridge Universitypress. Cambridge United Kingdom andNew York, USA. 333p.
8.Kanchebe, D.E., and Abudu, K.R. 2012.Vulnerability of crop production to heavyprecipitation in north- eastern Ghana. Int.J. Clim. Chang. Str. Manag. 4: 1. 36-53.
9.Karamooz, M., and Araghinezhad, Sh.2005. Advanced Hydrology. AmirkabirUniversity Press. 468p. (In Persian)
10.Khalili, A. 2015. Quantifying the risk ofheavy rainfall and its damage toagriculture in Iran. J. Agric. Meteorol.3: 2. 24-33. (In Persian)
11.Khoshkhoo, Y., and Abdi, Ch.2016. Risk potential of heavy rainfalloccurrence at some selected stations atWest and Northwest of Iran. 2st NationalConference on Semi-Arid Hydrology.
19-20 October. Sanandaj. Iran. (In Persian)
12.Matinzadeh, M., Fattahi, R.Shayannejad, M., and Abdollahi, Kh.2011. Reconstruction of Annual
Maximum 24-h Rainfall Data usingFuzzy Regression in CH&B Province.Journal of Water Research of Iran.8: 179-186. (In Persian)
13.Mozafari, Gh.A., Mazidi, A., and Shafie,Sh. 2017. Analysis and determining thethreshold of extreme precipitation ofWestern Iran through using generalextreme value distribution. J. Water SoilCons. 24: 2. 107-25. (In Persian)
14.Nazari Samani, A.A., Abbasi Jondani, Sh.2016. Evaluation of efficiency of CligenGenerator for producing of climate datafor using in WEPP model (Case study:Zidasht station, Alborz province). J. WaterSoil Cons. 23: 2. 43-62. (In Persian)
15.Skakun, S., Kussul, N., Shelestov, A.and Kussul, O. 2014. Flood hazard andflood risk assessment using a time seriesof satellite images: a case study inNamibia. Risk Anal. 34: 8. 1521-1537.
16.Sotoodeh, F., and Alijani, B. 2015.Relationship between spatial distributionof heavy precipition and pressurepatterns in Gilan. J. Spatial Anal. Natur.Hazard. 1: 63-73. (In Persian)
17.Vörösmarty, C.J., Guenni, L.B.,Wollheim, W.M., Pellerin, B., Bjerklie,D., Cardoso, M., D'Almeida, C., Green,P., and Colon, L. 2013. Extreme rainfall,vulnerability and risk: a continentalscale assessment for South America.Philos. Trans. A Math. Phys. Eng. Sci.371: 1-17.
18.WMO. 2016. Commission forclimatology: open programmme panelon climate monitoring and assessment(opace-2). Task team on definitions ofextreme weather and climate events(tt-dewce). Report item: 3.3 (3). 61.