作 者：Huang, ShengzhiWang, LuWang, HaoHuang, QiangLeng, GuoyongFang, WeiZhang, Ying
作者机构：State Key Laboratory Base of Eco-hydraulic Engineering in Arid AreaXi'an University of Technology Xi'an710048 ChinaChina Inst Hydropower & Water ResourcesState Key Lab Simulat & Regulat Water Cycle River Beijing100038 ChinaEnvironmental Change InstituteUniversity of Oxford OxfordOX1 3QY United Kingdom
出 版 物：《Agricultural Water Management》
年 卷 期：2019年第218卷
页 面：182-192
核心收录：
中图分类：S2[农业科学-农业工程]
学科分类：08[工学]0828[工学-农业工程]
基 金：This research was supported by the National Natural Science Foundation of China ( 51709221 )the Planning project of science and technology of water resources of Shaanxi ( 2017slkj-16 and 2017slkj-19 )the National Key R&D Program of China ( 2017YFC0405900 )the Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering ( 2018490711 )the Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research) ( IWHR-SKL-KF201803 )and the Key laboratory research projects of education department of Shaanxi Province ( 17JS104 ).
主 题：DroughtAgricultural robotsAgricultureAtmospheric pressureClimatologyStream flowAgricultural productionsCrosswavelet analysisNonparametric methodsPreferred seasonSpatiotemporal characteristicsStandardized precipitation indexStandardized streamflow indicesTransition period
摘 要：Previous studies have focused on drought duration, intensity and frequency without explicitly investigating the timing of droughts, such as the drought onset and demise, as well as their transition periods, which is of importance for agricultural production. Furthermore, large discrepancies exist for those studies using a single-variable based drought index. In this study, a nonparametric multivariate standardized drought index (NMSDI) that combines information about precipitation and streamflow was applied to investigate the spatial and temporal features of the drought structure in China. Subsequently, the relationships between El Niño-Southern Oscillation (ENSO) events and NMSDI variations were examined. The results indicate that: the NMSDI exhibited comparable performance when compared to the corresponding Standardized Precipitation Index and Standardized Streamflow Index, and importantly, it is more sensitive to capturing the onset, persistence, and termination of droughts; the preferred season of drought onset is in summer, with drought demise occurring in winter; the average drought duration in China is nearly 6 months, which is longer than the transition periods of drought onset (3 months) and demise (3 months); ENSO events have a strong influence on drought variations, with the effects depending on climate zones across China. Our results on the timing of droughts have important implications for drought mitigation and adaptation in China, which is helpful for agricultural production under the context of climate warming. © 2019 Elsevier B.V.
