Modeling multivariate standardized drought index based on the drought information from precipitation and runoff: a case study of Hare watershed of Southern Ethiopian Rift Valley Basin

被引：26

作者：

Yisehak, Biniyam ^{[1
]}

Zenebe, Amanuel ^{[2
]}

机构：

[1] Mekelle Univ, Inst Climate & Soc, POB 231, Mekelle, Tigray, Ethiopia

[2] Mekelle Univ, Land Resource Management & Environm Protect, Mekelle, Tigray, Ethiopia

来源：

MODELING EARTH SYSTEMS AND ENVIRONMENT | 2021年 / 7卷 / 02期

关键词：

Standardized precipitation index; Standardized runoff index; Multivariate standardized drought index; Joint probability distribution; Drought characteristics;

D O I：

10.1007/s40808-020-00923-6

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Drought is below-normal availability of rainfall, runoff, and or soil moisture for a prolonged period in a given region. Modeling drought index using multiple variables is important for future hydrological drought monitoring and sustainable water resource management. This study aimed to model multivariate standardized drought index (MSDI) based on the drought information from precipitation and runoff. Long year (1980-2014) monthly observed precipitation and runoff data were used to analyzed standardized precipitation index (SPI) and standardized runoff index (SRI) respectively. The best-fit copula family was selected to construct the joint probability distribution (JPD) of the SPI and SRI, and MSDI was developed. SPI, SRI, and MSDI at 6 and 12-month drought time scales were analyzed to characterize hydrological drought properties. The correlation among three drought indices (SPI, SRI, and MSDI) were analyzed using the Pearson correlation method. The goodness-of-fit test result showed that the Clayton copula was found the best-fitted copula function in describing JPD the two drought indices. The MSDI showed that the drought onset most likely similar to the SPI. Moreover, MSDI showed the maximum duration of drought occurred with varying severities about 26-28-months, while the duration of drought is extensive, but the frequency of drought less relative to SPI and SRI. The developed model, MSDI had a high correlation with SPI and SRI (R > 0.7 and R-2>0.5,p similar to 0.0) compared to the correlation between SPI and SRI. Therefore, modeling hydrological drought using multiple variables is better than estimated with a single variable.

引用

页码：1005 / 1017

页数：13

共 45 条

[21]

McKee T.B., Doesken N.J., Kleist J., The relationship of drought frequency and duration to time scales, Proceedings of 8Th Conference on Applied Climatology, pp. 179-183, (1993)

[22]

Mishra S.S., Nagarajan R., Drought assessment in Tel watershed: an integrated approach using run analysis and SPI, IEEE Earthzine, 1, (2011)

[23]

Mishra A.K., Singh V.P., A review of drought concepts, J Hydrol, 391, pp. 202-216, (2010)

[24]

Mo K.C., Drought onset and recovery over the United States, J Geophys Res Atmos, (2011)

[25]

Mukherjee S., Mishra A., Trenberth K.E., Climate change and drought: a perspective on drought indices, Curr Clim Chang Rep, 4, pp. 145-163, (2018)

[26]

Nam W.-H., Hayes M.J., Svoboda M.D., Tadesse T., Wilhite D.A., Drought hazard assessment in the context of climate change for South Korea, Agric Water Manag, 160, pp. 106-117, (2015)

[27]

Ndehedehe C.E., Awange J.L., Corner R.J., Kuhn M., Okwuashi O., On the potentials of multiple climate variables in assessing the spatio-temporal characteristics of hydrological droughts over the Volta Basin, Sci Total Environ, 557, pp. 819-837, (2016)

[28]

Pathak A.A., Dodamani B.M., Trend analysis of rainfall, rainy days and drought: a case study of Ghataprabha River Basin, India, Model Earth Syst Environ, 6, pp. 1-16, (2020)

[29]

Patterson L.A., Lutz B.D., Doyle M.W., Characterization of drought in the south Atlantic, United States, JAWRA J Am Water Resour Assoc, 49, pp. 1385-1397, (2013)

[30]

Sadegh M., Ragno E., AghaKouchak A., Multivariate C opula A nalysis T oolbox (MvCAT): describing dependence and underlying uncertainty using a B ayesian framework, Water Resour Res, 53, pp. 5166-5183, (2017)

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