干旱区生态环境知识资源中心(Arid): Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceara, Brazil

Arid

DOI	10.1007/s00477-021-02112-y
	Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceara, Brazil
	Rafael Rolim, Larissa Zaira; Oliveira da Silva, Samiria Maria; de Souza Filho, Francisco de Assis
通讯作者	Rolim, LZR (corresponding author), Univ Fed Ceara, Dept Hydraul & Environm Engn, BR-60455900 Fortaleza, Ceara, Brazil.
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN	1436-3240
EISSN	1436-3259
出版年	2021-11
英文摘要	Water resource variables are highly complex and vary both spatially and temporally. Understanding the variability and how it evolves has been an important scientific question in Ceara, Brazil. However, describing and determining the uncertainty and the variability in precipitation is still a challenge. Assessing the uncertainty around precipitation is key to develop robust and proactive planning. This study's main aim is to evaluate the underlying spatiotemporal variability of precipitation in the State of Ceara at different timescales by using standardized variability indices computed from different entropy measures. This methodology was applied to analyze 31 meteorological stations with daily time series from 1962 through 2006 while expanding the analysis to the remaining region using an interpolation method. The seasonal timescale analysis revealed that the dry season contributes more to the annual variability, and the change in intra-annual precipitation dynamics could vary with timescales. There were significant upward trends in entropy. Thus, for some stations, there was an increase in the uncertainty of rainfall. Also, there was an increase in variability amount and intensity throughout the decades at the monthly and seasonal timescales. Assessment of precipitation uncertainty within different timescales can benefit a broad community of scientists who are interested in arid-region and natural hazards.
英文关键词	Complexity Entropy Rainfall Spatiotemporal variability Trend analysis And Uncertainty
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000715007400001
WOS关键词	RIVER-BASIN ; CLIMATE-CHANGE ; VARIABILITY ; MODEL ; RAINFALL
WOS类目	Engineering, Environmental ; Engineering, Civil ; Environmental Sciences ; Statistics & Probability ; Water Resources
WOS研究方向	Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367707
作者单位	[Rafael Rolim, Larissa Zaira; Oliveira da Silva, Samiria Maria; de Souza Filho, Francisco de Assis] Univ Fed Ceara, Dept Hydraul & Environm Engn, BR-60455900 Fortaleza, Ceara, Brazil
推荐引用方式 GB/T 7714	Rafael Rolim, Larissa Zaira,Oliveira da Silva, Samiria Maria,de Souza Filho, Francisco de Assis. Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceara, Brazil[J],2021.
APA	Rafael Rolim, Larissa Zaira,Oliveira da Silva, Samiria Maria,&de Souza Filho, Francisco de Assis.(2021).Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceara, Brazil.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT.
MLA	Rafael Rolim, Larissa Zaira,et al."Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceara, Brazil".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021).