Multivariate Frequency Analysis of Meteorological Drought Using Copula

被引：32

作者：

Hangshing, Lamneithem ^{[1
]}

Dabral, Parmendra P. ^{[1
]}

机构：

[1] Deemed Univ, North Eastern Reg Inst Sci & Technol, Dept Agr Engn, Nirjuli Itanagar 791109, Arunachal Prade, India

来源：

WATER RESOURCES MANAGEMENT | 2018年 / 32卷 / 05期

关键词：

Meteorological drought; Standardised precipitation index; Copula; Multivariate frequency analysis; SEVERITY; DURATION; INDEX;

D O I：

10.1007/s11269-018-1901-0

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The multivariate frequency analysis of droughts for Agartala (India) was carried out in the present study. The meteorological drought was modelled using Standardised Precipitation Index(SPI) at the time scale of 1, 3, 6 and 12 months. Three droughts variables i.e., duration, severity, interval were determined for SPI at the time scale of 1, 3, 6 and 12 months. For the construction of bivariate and trivariate joint distributions Archimedean and metaelliptical copulas were used. Upper tail dependence test was also carried out. The best copula was selected based on minimum value Akaike's information criteria (AIC)) and Schwarz information criterion(SIC). The drought risk was estimated using joint probabilities and return period for the study area.

引用

页码：1741 / 1758

页数：18

共 38 条

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