Spatiotemporal Characteristics of Drought in the Heihe River Basin Based on the Extreme-Point Symmetric Mode Decomposition Method

作     者：Kai Feng Xiaoling Su 

作者机构：College of Water Resources and Architectural EngineeringNorthwest A&F UniversityYangling 712100China Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid AreasMinistry of EducationNorthwest A&F UniversityYangling 712100China 

出 版 物：《International Journal of Disaster Risk Science》 (国际灾害风险科学学报（英文版）)

年 卷 期：2019年第10卷第4期

页      面：591-603页

核心收录：

学科分类：0709[理学-地质学] 07[理学] 070601[理学-气象学] 0303[法学-社会学] 0832[工学-食品科学与工程（可授工学、农学学位）] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0708[理学-地球物理学] 0705[理学-地理学] 0837[工学-安全科学与工程] 0706[理学-大气科学] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 

基　　金：the grant support from the National Natural Science Foundation of China(51879222 and 91425302) the National Key Research and Development Program during the 13th Five-Year Plan in China(2016YFC0401306) 

主　　题：China Drought Heihe River Basin Spatiotemporal drought analysis 

摘      要：Assessment of spatiotemporal characteristics of drought under climate change is significant for drought *** this study,the standardized precipitation evapotranspiration index(SPEI)calculated at different timescales was adopted to describe the drought conditions in the Heihe River Basin(HRB)from 1961 to *** period characteristics and spatiotemporal distribution of drought were analyzed by using the extreme-point symmetric mode decomposition(ESMD)and inverse distance weight interpolation *** main results were obtained.(1)The SPEI series of the upper reaches of the HRB at different timescales showed an upward trend(not significant)during 1961–*** the middle and lower reaches,the SPEI series exhibited significant downward trends.(2)The annual SPEI series of the lower reaches was decomposed through the ESMD method and exhibited a fluctuating downward trend as a *** oscillation showed quasi-3.4-year and quasi-4.5-year periods in the interannual variation,while a quasi-13.5-year period occurred in the interdecadal *** interannual period plays a leading role in drought variation across the HRB.(3)The entire research period was divided into three subperiods by the Bernaola–Galvan segmentation algorithm:1961–1966,1967–1996,and 1997–*** spring drought frequency and autumn drought intensity arrived at their maxima in the lower reaches during 1997–2014,with values of 72.22%and 1.56,*** high frequency and intensity areas of spring,summer,and autumn drought moved from the middle-upper reaches to the middle-lower reaches of the HRB during 1961–2014.(4)Compared to the wavelet transform,the ESMD method has self-adaptability for signal decomposition and is more accurate for drought period ***-point symmetric mode decomposition is a more efficient decomposition method for nonlinear and nonstationary time series and has important significance for revealing the complicated change features of climate systems.