Integrated spatiotemporal trends using TRMM 3B42 data for the Upper São Francisco River basin, Brazil

Environmental Monitoring and Assessment
Celso Augusto Guimarães SantosJacqueline Sobral de Araújo Passos

Abstract

Trend analysis is an important issue for the decision-making processes. Thus, trends of rainfall, consecutive dry days (CDD), and consecutive wet days (CWD) in the Upper São Francisco River basin, Brazil, using daily rainfall data from the Tropical Rainfall Measuring Mission (TRMM) for recent 18 years, were analyzed. Instead of analyzing the trend of one average time series for one specific confidence level, a spatiotemporal analysis over the entire area with 169 continuous time series is done by applying the nonparametric Mann-Kendall and Sen tests for simultaneously 13 confidence levels and a new integrated confidence classification is proposed. The results show that the rainfall has increased during the less rainy periods (from June to October) and has decreased in the rainy periods (from November to May), with the highest and lowest confidence levels, respectively. An analysis of CDD and CWD shows that the number of CDD has decreased, while the number of CWD has increased, which revealed that the dry periods are more frequently interrupted for the period studied.

References

May 5, 2017·Environmental Monitoring and Assessment·Celso Augusto Guimarães SantosRicharde Marques da Silva

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Citations

Jun 18, 2020·Environmental Monitoring and Assessment·Salahuddin M Jaber, Mahmoud M Abu-Allaban
Apr 30, 2020·Environmental Monitoring and Assessment·José Carlos DantasCelso Augusto Guimarães Santos
Aug 11, 2018·The Science of the Total Environment·Celso Augusto Guimarães SantosRicharde Marques da Silva
Jan 15, 2021·Scientific Reports·Reginaldo Moura Brasil NetoManoranjan Mishra
Nov 23, 2021·The Science of the Total Environment·Elias Rodrigues da CunhaKarina Dos Santos Falcão

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