An advanced data collection procedure in bivariate drought frequency analysis

被引:9
作者
Amirataee, Babak [1 ]
Montaseri, Majid [1 ]
Rezaie, Hossein [1 ]
机构
[1] Urmia Univ, Dept Water Engn, POB 5756151818, Orumiyeh, Iran
关键词
Connected Drought Runs; copula; drought frequency analysis; Lake Urmia basin; marginal distribution; return period; SPI; theory of runs; NONPARAMETRIC APPROACH; RETURN PERIOD; SEVERITY; COPULA; DURATION; CHINA; RIVER;
D O I
10.1002/hyp.13866
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In recent years, the bivariate frequency analysis of drought duration and severity using independent drought events and copula functions has been under extensive application. Meanwhile, emphasis on the procedure of independent drought data collection leads to the omission of the actual potential of short-term extreme droughts within a long-term independent drought. However, a long-term individual continuous drought as an Unconnected Drought Runs can be considered as a combination of short-term Connected Drought Runs. Thus, an advanced and new procedure of data collection in the bivariate drought characteristics analysis has been developed in this study. The results indicated a high relative advantage of the new proposed procedure in analysing bivariate drought characteristics (i.e., drought duration and severity frequency analysis). This advantage has been reflected in the more appropriate determination of the best copula and significant reduction in the uncertainty of bivariate drought frequency analysis.
引用
收藏
页码:4067 / 4082
页数:16
相关论文
共 56 条
[1]   Multivariate regional frequency analysis: Two new methods to increase the accuracy of measures [J].
Abdi, Amin ;
Hassanzadeh, Yousef ;
Talatahari, Siamak ;
Fakheri-Fard, Ahmad ;
Mirabbasi, Rasoul ;
Ouarda, Taha B. M. J. .
ADVANCES IN WATER RESOURCES, 2017, 107 :290-300
[2]   Preliminary streamflow data analyses prior to water resources planning study [J].
Adeloye, AJ ;
Montaseri, M .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2002, 47 (05) :679-692
[3]  
[Anonymous], 1959, ANN LISUP, V8, P229
[4]   Probabilistic modelling of drought events in China via 2-dimensional joint copula [J].
Ayantobo, Olusola O. ;
Li, Yi ;
Song, Songbai ;
Javed, Tehseen ;
Yao, Ning .
JOURNAL OF HYDROLOGY, 2018, 559 :373-391
[5]   Spatial variability of drought: An analysis of the SPI in Sicily [J].
Bonaccorso, B ;
Bordi, I ;
Cancelliere, A ;
Rossi, G ;
Sutera, A .
WATER RESOURCES MANAGEMENT, 2003, 17 (04) :273-296
[6]   Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices [J].
Byakatonda, Jimmy ;
Parida, B. P. ;
Moalafhi, D. B. ;
Kenabatho, Piet K. .
ATMOSPHERIC RESEARCH, 2018, 213 :492-508
[7]   A Generalized Pareto intensity-duration model of storm rainfall exploiting 2-Copulas [J].
De Michele, C ;
Salvadori, G .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D2)
[8]   ON THE DEFINITION OF DROUGHTS [J].
DRACUP, JA ;
LEE, KS ;
PAULSON, EG .
WATER RESOURCES RESEARCH, 1980, 16 (02) :297-302
[9]   Probabilistic assessment of flood risks using trivariate copulas [J].
Ganguli, Poulomi ;
Reddy, M. Janga .
THEORETICAL AND APPLIED CLIMATOLOGY, 2013, 111 (1-2) :341-360
[10]   Catchment compatibility via copulas: A non-parametric study of the dependence structures of hydrological responses [J].
Grimaldi, S. ;
Petroselli, A. ;
Salvadori, G. ;
De Michele, C. .
ADVANCES IN WATER RESOURCES, 2016, 90 :116-133