中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatio-temporal variation and statistical characteristic of extreme dry spell in Yellow River Basin, China

文献类型:SCI/SSCI论文

作者Xia J.
发表日期2013
关键词wet spells peninsular malaysia iberian peninsula precipitation distributions droughts 20th-century trends series variability
英文摘要Drought is one of the most detrimental natural hazards in Yellow River Basin (YRB). In this research, spatio-temporal variation and statistical characteristic of drought in YRB is studied by using dry spell. Two extreme series, including annual maximum series (AMS) and partial duration series (PDS), are used and simulated with generalized extreme value (GEV), generalized Pareto (GP), and Pearson type III (PE3) distributions. The results show that the northern part is drier than the southern part of YRB. Besides, the maximum dry spell usually starts in October, November, and December. According to the trend analysis, mean maximum length of dry spell (MxDS) shows a negative trend in most stations. From the L-moments and Kolmogorov-Smirnov test method, it can be found that GEV model can better fit AMS while GP and PE3 can better fit PDS. Moreover, the quantiles from optimal model of AMS and PDS depict a similar distribution with values increases from south to north. The spatial distribution of scale and location parameters of GEV model for AMS shows a south-to-north gradient, while the distribution of shape parameter is a little irregularity. Furthermore, based on the linear correlation analysis, there is an evident linear relation between location and scale parameters with mean and standard variation of MxDS, respectively.
出处Theoretical and Applied Climatology
112
1-2
201-213
收录类别SCI
语种英语
ISSN号0177-798X
源URL[http://ir.igsnrr.ac.cn/handle/311030/30278]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Xia J.. Spatio-temporal variation and statistical characteristic of extreme dry spell in Yellow River Basin, China. 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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