Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2019.01.003 |
Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends, statistical tests and its relation with ENSO | |
Sobral, Bruno Serafini1,4; de Oliveira-Junior, Jose Francisco1,2; de Gois, Givanildo3; Pereira-Junior, Edson Rodrigues4; de Bodas Terassi, Paulo Miguel5; Rodrigues Muniz-Junior, Joao Gualberto1; Lyra, Gustavo Bastos1,6; Zeri, Marcelo7 | |
2019-05-15 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 220页码:141-154 |
文章类型 | Article |
语种 | 英语 |
国家 | Brazil |
英文摘要 | Drought indices allow for the characterization of drought events, being the most widely used the Standardized Precipitation Index (SPI), which is recommended by the World Meteorological Organization (WMO) as the standard drought index. The objectives of this study are; i) to characterize the variation of annual SPI index in the state of Rio de Janeiro from 1979 to 2009; ii) to relate ENSO events with the variation of the annual SPI; iii) to identify possible significant trends of rainfall increase and reduction based on the annual SPI; and iv) characterize drought evolution in the SRJ in the 1979-2009 period (Appendix A). For the SPI calculation, a monthly time series with 31 consecutive years was used, based on rainfall data from 99 rainfall stations distributed in eight government regions. Annual SPI data was presented using maps created with ArcGIS software version 10.2.2 and all statistical procedures were calculated in the R environment software. The Shapiro-Wilk (SW) and Bartlett (B) tests characterized rainfall data as being mostly normal and non-homogeneous. The annual SPI showed that the Center South region experienced the highest continuous dry period between 1999 and 2000 and 2002-2003. The annual SPI was assessed with the Mann-Kendall (MK), Curvature Sen (magnitude) and Pettitt (abrupt inflection) tests. The MK test indicated significant trends of annual rainfall increase in the North and Mountainous regions, and significant reduction trends in the Mountainous and Center South regions. Pettitt's test indicated significant abrupt changes in the North, Center South and Mountainous regions. The Curvature Sen test revealed that stations Dois Rios (North) and Cordeiro (Mountainous) registered a greater magnitude in the increase and reduction of the annual SPI, respectively. |
英文关键词 | Drought indices Rainfall Parametric tests Interannual variability Rio de Janeiro Climatic variability |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000459364100013 |
WOS关键词 | SPATIOTEMPORAL CHARACTERISTICS ; METEOROLOGICAL DROUGHT ; TIME-SERIES ; RISK ; PRECIPITATION ; VARIABILITY ; STREAMFLOW ; SEVERITY ; RAINFALL ; CHINA |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183194 |
专题 | 地球科学 |
作者单位 | 1.Fed Fluminense Univ UFF, Postgrad Program Biosyst Engn PGEB, BR-24220900 Niteroi, RJ, Brazil; 2.Fed Univ Alagoas UFAL, Inst Atmospher Sci ICAT, BR-57072260 Maceio, Alagoas, Brazil; 3.Fed Fluminense Univ UFF, Technol Ctr, Sch Ind Met Engn Volta Redonda, BR-27255250 Volta Redonda, RJ, Brazil; 4.State Secretary Environm SEA RJ, Land & Cartog Inst Rio de Janeiro ITERJ, Rua Regente Feijo 7, BR-20060060 Centro, RJ, Brazil; 5.Univ Sao Paulo, Postgrad Program Phys Geog, BR-05508000 Sao Paulo, Brazil; 6.Fed Rural Univ Rio de Janeiro UFRRJ, IF, Dept Environm Sci DCA, BR-23890000 Seropedica, RJ, Brazil; 7.Natl Ctr Monitoring & Early Warning Nat Disasters, BR-12247016 Sao Jose Dos Campos, SP, Brazil |
推荐引用方式 GB/T 7714 | Sobral, Bruno Serafini,de Oliveira-Junior, Jose Francisco,de Gois, Givanildo,et al. Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends, statistical tests and its relation with ENSO[J]. ATMOSPHERIC RESEARCH,2019,220:141-154. |
APA | Sobral, Bruno Serafini.,de Oliveira-Junior, Jose Francisco.,de Gois, Givanildo.,Pereira-Junior, Edson Rodrigues.,de Bodas Terassi, Paulo Miguel.,...&Zeri, Marcelo.(2019).Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends, statistical tests and its relation with ENSO.ATMOSPHERIC RESEARCH,220,141-154. |
MLA | Sobral, Bruno Serafini,et al."Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends, statistical tests and its relation with ENSO".ATMOSPHERIC RESEARCH 220(2019):141-154. |
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