Toward analyzing meteorological droughts in western Iran: a multivariate approach based on vine copulas

被引:0
作者
Neshat Jahannemaei
Payam Khosravinia
Hadi Sanikhani
Rasoul Mirabbasi
机构
[1] University of Kurdistan,Water Science and Engineering Department, Faculty of Agriculture
[2] Shahrekord University,Faculty of Agriculture, Water Engineering Department
来源
Natural Hazards | 2023年 / 116卷
关键词
Copula; D-vine structure; Meteorological drought; Multivariate analysis; SPEI;
D O I
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中图分类号
学科分类号
摘要
Although two-dimensional analyses of drought have been frequently performed in recent years, considering multiple drought variables simultaneously can provide more accurate information. In this study, drought characteristics (i.e., severity, duration, peak SPEI, and inter-arrival time) were modeled using the D-vine structure in western Iran in a 30-year period (1990 to 2019). First, SPEI was calculated for all stations using monthly precipitation values and evapotranspiration estimated by Penman–Monteith FAO method. Then, three different scenarios for creating the D-vine structures were investigated. The results showed that 865 drought events in western Iran during the studied period. For instance, the average drought duration, severity, peak, and inter-arrival time were 2.67 months, 3 months, 1.07 months, and 7.32 months, respectively, at the Dehloran station. In each scenario, the best copula family for each paired variable was selected based on various criteria. In all scenarios, the most appropriate D-vine structure was identified at 13 investigated stations. The Frank copula had the best fitness in the first and second scenarios, while the Gaussian copula had the best fitness in the third scenario. To evaluate the accuracy of the D-vine model simulation, the simulated and observed variables were compared at all stations that indicated good agreement between the simulated and the observed variables. Finally, the spatial distribution of the bivariate drought return period for the study area was presented. The results showed that the joint return period of severity and peak SPEI is about 201 years. The joint return period of droughts in the central, eastern, and western regions is also short. Zoning maps have shown that most parts of the study area are moderately susceptible to drought, as the southern and western parts of the studied area are more susceptible to severe drought. Therefore, it is necessary to consider the required management strategies for the western part of Iran to cope with drought.
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页码:1903 / 1929
页数:26
相关论文
共 319 条
[21]  
Allen RG(2004)Multivariate hydrological frequency analysis using copulas Water Resour Res 40 12-3397
[22]  
Pereira LS(2013)Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation Hydrol Earth Syst Sci 17 549-2906
[23]  
Raes D(2012)Modelling the dependence and internal structure of storm events for continuous rainfall simulation J Hydrol 464 1149-1491
[24]  
Smith M(2013)Multivariate standardized drought index: a parametric multi-index model Adv Water Resour 57 1455-330
[25]  
Amini S(2016)Review of dependence modeling in hydrology and water resources Prog Phys Geogr 40 131106-388
[26]  
Zare Bidaki R(2002)A review of twentieth-century drought indices used in the United States Bull Am Meteor Soc 83 657-759
[27]  
Mirabbasi R(2016)Estimation of hydrologic budget for Gharasou Watershed Iran Ecopersia 4 1-206
[28]  
Shafaei M(2022)Intensity-area-duration-based drought analysis under 15 °C–40 °C warming using CMIP6 over a climate hotspot in South Asia J Cleaner Prod 345 3380-1000
[29]  
Ballarin AS(2019)Trivariate copula in drought analysis: a case study in peninsular Malaysia Theoret Appl Climatol 138 930-216
[30]  
Barros GL(2019)Investigation of monthly and seasonal changes of methane gas with respect to climate change using satellite data Appl Water Sci 9 2889-2214