干旱区生态环境知识资源中心(Arid): Necessary length of daily precipitation time series for different entropy measures

Arid

DOI	10.1007/s12145-019-00392-1
	Necessary length of daily precipitation time series for different entropy measures
	Zhang, Chunmin 1,2; Zhou, Xiangyang 2,3; Lei, Wenjuan 4
通讯作者	Zhou, Xiangyang
来源期刊	EARTH SCIENCE INFORMATICS
ISSN	1865-0473
EISSN	1865-0481
出版年	2019
卷号	12 期号:4 页码:475-487
英文摘要	Entropy is a useful tool to measure the uncertainty of precipitation. However, the necessary length of the precipitation time series is not clear because of the highly spatial-temporal variability of precipitation and the quite different mechanisms of entropy indices. Thus, this study aims at exploring the relationship between necessary length of daily precipitation time series and the typical entropy indices, including information entropy and sample entropy, denoted as IE and SE respectively. Firstly, the probability distribution of the entropy calculated from data with the same length is identified using the K-S test. Based on the confidential interval of 95%, the threshold value and the necessary length are obtained. On the basis of the results calculated by 675 65-year-length daily precipitation time series in China, the spatial distributions of the minimum length and their influencing factors are uncovered. The main findings are manifested by the following aspects. Generally, the entropy calculated from data with the same length follows a normal distribution, from which the threshold value is obtained: coefficient of variance, CV, equaling to 0.025 on the basis of the 95% confidential interval. The average necessary length is 35 years for SE and 24 years for IE, with the range of 8-58 years and 5-60 years respectively. Spatially, the necessary length is mainly affected by the climatic conditions: smaller values observed in southern humid areas while the larger value in arid areas. The necessary length for SE, NLSE, is larger than the data length for IE, NLIE, in the southern areas. However, the NLSE is smaller than NLIE in part of extreme arid areas. The reason is mainly the different mechanism of the two entropy measures: a lower frequency of precipitation events in arid areas require a longer period to capture almost all of the rainfall intensity to make the probability distribution stable. These results would not only provide some useful references to determine the necessary data length when explore the temporal variability of SE with the climate change, but also provide a deeper insight into understanding the different entropy measures for precipitation time series.
英文关键词	Necessary length Daily precipitation time series Sample entropy Information entropy
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000498764300004
WOS关键词	COMPLEXITY ANALYSIS ; MULTISCALE ENTROPY ; RAINFALL ; BASIN
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311062
作者单位	1.Sichuan Univ, Coll Water Resource & Hydropower, Chengdu 610065, Sichuan, Peoples R China; 2.Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China; 3.Guizhou Univ, Coll Resource & Environm Engn, Guiyang 550025, Guizhou, Peoples R China; 4.Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Chunmin,Zhou, Xiangyang,Lei, Wenjuan. Necessary length of daily precipitation time series for different entropy measures[J],2019,12(4):475-487.
APA	Zhang, Chunmin,Zhou, Xiangyang,&Lei, Wenjuan.(2019).Necessary length of daily precipitation time series for different entropy measures.EARTH SCIENCE INFORMATICS,12(4),475-487.
MLA	Zhang, Chunmin,et al."Necessary length of daily precipitation time series for different entropy measures".EARTH SCIENCE INFORMATICS 12.4(2019):475-487.