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DOI	10.1007/s00477-018-1619-9
	Innovative approach for geospatial drought severity classification: a case study of Paraiba state, Brazil
	Guimaraes Santos, Celso Augusto 1; Brasil Neto, Reginaldo Moura 1; da Silva, Richarde Marques 2; dos Santos, Daris Correia 1
通讯作者	Guimaraes Santos, Celso Augusto
来源期刊	STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
ISSN	1436-3240
EISSN	1436-3259
出版年	2019
卷号	33 期号:2 页码:545-562
英文摘要	Trend analysis of droughts and their geospatial and temporal variability assists decision-making about water resources management around the world and decreases the harmful effects of drought that affect the entire population. This work aimed to analyze short-, medium- and long-term droughts and their trends in the Brazilian state of Paraiba from 1998 to 2015 using Tropical Rainfall Measuring Mission (TRMM) data and applying the Mann-Kendall test and Sen's slope estimator method, based on the standardized precipitation index (SPI). TRMM data were validated by comparison with data from 267 rain gauges in the region, which showed the consistency of the satellite data. Therefore, 187 monthly TRMM rainfall time series were used, each with 216months. The series were equally distributed over the entire study area. At the significance level of 0.01, a new geospatial classification of drought severity is proposed, through which it is possible to determine exactly which types of drought events affected or did not affect a given region based on the SPI and the trend of the analyzed SPI time series, which shows the situation of drought risk analysis. The results of the comparison between long- and short-term droughts indicate that the wettest regions of the state of Paraiba are strongly affected by extreme drought events and show trends with increasingly negative slopes. In this way, the proposed geospatial classification is proved to be a useful tool because it provides information about the current drought situation of a given region, simultaneously showing the trend slope with respect to short-, medium- and long-term droughts.
英文关键词	Brazil Drought Semi-arid region SPI Trend TRMM
类型	Article
语种	英语
国家	Brazil
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000463653800012
WOS关键词	PRECIPITATION ANALYSIS TMPA ; TREND ANALYSIS
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/2XILL650/218939
作者单位	1.Univ Fed Paraiba, Dept Civil & Environm Engn, BR-58051900 Joao Pessoa, PB, Brazil; 2.Univ Fed Paraiba, Dept Geosci, BR-58051900 Joao Pessoa, PB, Brazil
推荐引用方式 GB/T 7714	Guimaraes Santos, Celso Augusto,Brasil Neto, Reginaldo Moura,da Silva, Richarde Marques,et al. Innovative approach for geospatial drought severity classification: a case study of Paraiba state, Brazil[J],2019,33(2):545-562.
APA	Guimaraes Santos, Celso Augusto,Brasil Neto, Reginaldo Moura,da Silva, Richarde Marques,&dos Santos, Daris Correia.(2019).Innovative approach for geospatial drought severity classification: a case study of Paraiba state, Brazil.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,33(2),545-562.
MLA	Guimaraes Santos, Celso Augusto,et al."Innovative approach for geospatial drought severity classification: a case study of Paraiba state, Brazil".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 33.2(2019):545-562.