作 者：Huang, ShengzhiLi, PeiHuang, QiangLeng, GuoyongHou, BeibeiMa, Lan
作者机构：State Key Laboratory Base of Eco-Hydraulic Engineering in Arid AreaXi'an University of Technology Xi'an710048 ChinaKey Laboratory of Water Cycle and Related Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China
出 版 物：《Journal of Hydrology》
年 卷 期：2017年第547卷
页 面：184-195
核心收录：
中图分类：P33[天文学、地球科学-地球物理学]
学科分类：08[工学]0815[工学-水利工程]081501[工学-水文学及水资源]
基 金：National Natural Fund Major Research Plan [51190093, 91325201]National Department Public Benefit Research Foundation of Ministry of Water Resources [201501058]Project of School of water resources and hydropower of Xi'an University of Technology [2016ZZKT-15]Key Innovation Group of Science and Technology of Shaanxi [2012KCT-10]
主 题：DroughtAtmospheric pressureClimatologyStream flowWatershedsWavelet analysisArctic OscillationCrosswavelet analysisHydrological droughtsMeteorological droughtPropagation timeWei river
摘 要：It is important to investigate the propagation from meteorological to hydrological drought and its potential influence factors, which helps to reveal drought propagation process, thereby being helpful for drought mitigation. In this study, Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) were adopted to characterize meteorological and hydrological droughts, respectively. The propagation time from meteorological to hydrological drought was investigated. The cross wavelet analysis was utilized to examine the correlations between hydrological and meteorological droughts in the Wei River Basin (WRB), a typical arid and semi-arid region in China. Moreover, the potential influence factors on the propagation were explored from the perspectives of large-scale atmospheric circulation anomaly and underlying surface characteristics. Results indicated: (1) the propagation time from meteorological to hydrological drought has noticeably seasonal characteristics, that in spring and summer is short, whilst that in autumn and winter is long; (2) hydrological and meteorological droughts are primarily characterized by statistically positive linkages on both long and short time scales; (3) El Niño Southern Oscillation (ENSO) and Arctic Oscillation (AO) are strongly correlated with actual evaporation, thus strongly impacting the propagation time from meteorological to hydrological drought. Additionally, the propagation time has roughly positive associations with the parameter w of the Fu s equation from the Budyko framework. © 2017 Elsevier B.V.
