A new copula-based standardized precipitation evapotranspiration streamflow index for drought monitoring.pdf (6.17 MB)Download file
A new copula-based standardized precipitation evapotranspiration streamflow index for drought monitoring
journal contributionposted on 2020-07-10, 15:31 authored by Fei Wang, Zongmin Wang, Haibo Yang, Danyang Di, Yong Zhao, Qiuhua LiangQiuhua Liang
Traditional univariate drought indices are likely to be insufficient for reflecting the comprehensive information of drought. Thus, it is of great significance to construct a comprehensive drought index for drought monitoring under the consideration of the complexity of meteorological and hydrological conditions in a changing environment. In this study, a new copula-based Standardized Precipitation Evapotranspiration Streamflow Index (SPESI) was proposed, which can synthetically characterize meteorological and hydrological drought. The temporal change, spatial distribution and return period of drought were comprehensively identified in the Yellow River Basin (YRB) from 1961 to 2015. Subsequently, the links between SPESI and teleconnection factors were revealed using cross wavelet transform technology. The results indicated that: (1) based on the combination of meteorological and hydrological drought information, the constructed SPESI could capture the occurrence, duration and termination of drought sensitively and effectively; (2) the seasonal and annual droughts were increasing in the YRB during 1961–2015, with different temporal change characteristics in each subzone; (3) the month and season with the most serious drought was June and summer, with an average SPESI value of −1.23 and −0.89, respectively; (4) Frank-copula was considered to be the best-fitted copula function in the YRB; and (5) the cross wavelet transform illustrated that teleconnection factors had strong influences on the evolution of drought in the YRB, and the impacts of El Niño-Southern Oscillation (ENSO), Arctic Oscillation (AO) and sunspot on the droughts were stronger than those of Pacific Decadal Oscillation (PDO). This study can provide a reliable and effective multivariate index for drought monitoring, which can also be applied in other regions.
National Key R&D Program of China (grant number 2018YFC0406505)
Key Scientific Research Projects of Henan Colleges and Universities (grant number 19A170014)
Henan Province Scientific and Technological Project (grant number 172102410075)
Open Research Fund of the State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin at the China Institute of Water Resources and Hydropower Research (grant number IWHR-SKL-201701)
National Natural Science Foundation of China (grant number 51779093)
Science and technology project of Guizhou Province Water Resources Department (grant number KT201705)
- Architecture, Building and Civil Engineering
Published inJournal of Hydrology
- AM (Accepted Manuscript)
Rights holder© Elsevier B.V.
Publisher statementThis paper was accepted for publication in the journal Journal of Hydrology and the definitive published version is available at https://doi.org/10.1016/j.jhydrol.2020.124793.