Change in number of rainy days in the municipality of Visconde de Mauá, Rio de Janeiro

Authors

DOI:

https://doi.org/10.20873/jbb.uft.cemaf.v8n4.bunhak

Keywords:

south fluminense, change climate, student's t test, tend

Abstract

Climate change has the potential to change the distribution of rainfall. However, for Sul Fluminense this analysis was not performed. Thus, the objective of this research was to identify changes in the number of rainy days in the South Fluminense region. Daily rainfall data from 1938-2011 were used for the study from a weather station located in the municipality of Visconde de Mauá-RJ. The rain data were divided into five classes of days with rain equal to: P = 0; 0 < P ≤ 5; 5 > P ≤ 10; 10 > P ≤ 15; 15 > P ≤ 20. The analysis was performed using the rain data for the months of January (summer) and July (winter). The rain classes were submitted to Student's t test for the linear regression slope to identify possible changes in rainfall classes. For this test, a significance level of 5% was adopted. The analysis showed that the classes 5 > P ≤ 10; 10 > P ≤ 15; 15 > P ≤ 20 for the month of January, showed a reduction, but there was no statistical significance for the test applied. For January only classes 0 < P ≤ 5 showed an increase which statistically significant. In July there was an increase in classes 5 > P ≤ 10 and 10 > P ≤ 15 and reduction in 0 <P ≤ 5 and 15> P ≤ 20. However, without statistical significance for July. Results show greater reduction the rainfall in January.

References

Andre RGB, Marques VS, Pinheiro FMA, Ferraudo AS. Identificação de regiões pluviometricamente homogêneas no estado do Rio de Janeiro, utilizando-se valores mensais. Revista Brasileira de Meteorologia, v.23, n.4, p.501-509, 2008.http://dx.doi.org/10.1590/S0102-77862008000400009

Chou CC, Chen A, Tan PH, Chen T. Mechanisms for global warming impacts on precipitation frequency and intensity. Journal Climate, v.25, p.3291-3306, 2012. https://doi.org/10.1175/JCLI-D-11-00239.1

Costa GR, Wanderley HS. Projeção futura do balanco hídrico climatológico para mesorregião sul do estado do Rio de Janeiro. Ensaios nas ciências agrárias e ambientais. Atena Editora, 144-149p. 2019. DOI 10.22533/at.ed.414191601

Halimatou, T.; Kalifa, AT.; Baffour, KN. Assessment of changing trends of daily precipitation and temperature extremes in Bamako and Ségou in Mali from 1961- 2014. Weather and Climate Extremes, v.18, p.8-16, 2017. https://doi.org/10.1016/j.wace.2017.09.002

Lau WKM, Wu HT, Kim KM. A canonical response of precipitation characteristics to global warming from CMIP5 models. Geophysical Research Letters, v.40, p.3163-3169, 2013. https://doi.org/10.1002/grl.50420

Obregón G, Marengo J, Nobre C. Rainfall and climate variability: long-term trends in the Metropolitan Area of São Paulo in the 20th century. Climate Research, v.61, n.2, p.93-107, 2014.

Pendergrass AG, Hartmann DL, Mudanças na distribuição da frequência e intensidade da chuva em resposta ao aquecimento global. Journal Climate. v.27, p.8372-8383, 2014. https://doi.org/10.1175/JCLI-D-14-00183.1

Qian W, Lin X. Regional trends in recent precipitation indices in China. Meteorology and Atmospheric Physics, v.90, p.193-207, 2005. https://doi.org/10.1007/s00703-004-0101-z

Salviano MF, Groppo JD, Pellegrino GQ. Análise de tendências em dados de precipitação e temperatura no Brasil. Revista Brasileira de Meteorologia, v.31, n.1, p.64-73, 2016. http://dx.doi.org/10.1590/0102-778620150003

Shao Y, Mu X, He Y, Sun W, Zhao G, Gao P. Spatiotemporal variations of extreme precipitation events at multi-time scales in the Qinling-Daba mountains region, China. Quaternary International, v.525, p.89-102. 2019. https://doi.org/10.1016/j.quaint.2019.07.029

Shi J, Cui L, Wen K, Tian Z, Wei P, Zhang B. Trends in the consecutive days of temperature and precipitation extremes in China during 1961–2015. Environmental Research, v.161, p.381-391. 2018. https://doi.org/10.1016/j.envres.2017.11.037

Sobral BS, Oliveira-Júnior JF, Gois G, Terassi PMB, Muniz-Júnior JGR. Variabilidade espaço-temporal e interanual da chuva no estado do Rio de Janeiro. Revista Brasileira de Climatologia. v.22, p,281-308, 2018.

Sun,Y.; Solomon, S.; Dai, A.; Portmann, RW. How often will it rain? Journal Climate, v.20, p4801-4818, 2007. https://doi.org/10.1175/JCLI4263.1

Wanderley HS. Sediyama GC, Justino FB, Alrncar LP, Delgado RC. Variabilidade da precipitação no Sertão do São Francisco, estado de Alagoas. Revista Brasileira de Engenharia Agrícola e Ambiental, v.17, n.7, p.790-795, 2013. https://doi.org/10.1590/S1415-43662013000700014

Wanderley HS, Carvalho AL, Fernandes RC, Souza JL. Mudança no regime temporal da temperatura do ar e precipitação pluviométrica na região de rio Largo, Alagoas. Revista Brasileira de Geografia Física, v.7, n.4, p.662-667, 2014. https://doi.org/10.26848/rbgf.v7.4.p662-667

Wanderley HS, Bunhak ACS. Alteration in precipitation and number of days without rain in the southern region of Rio de Janeiro state. Revista Brasileira de Geografia Física, v.9, n.7, p.2341-2353, 2016. https://doi.org/10.5935/1984-2295.20160167

Zhang X, Alexander L, Hegerl GC, Jones P, Tank AK, Peterson TC, Trewin B, Zwiers FW. Indices for monitoring changes in extremes based on daily temperature and precipitation data. WIREs Climate Change, v.2, n.6, p.851-870, 2011. https://doi.org/10.1002/wcc.147

Downloads

Published

2020-10-12

How to Cite

Bunhak, A. C. da S., & Wanderley, H. S. (2020). Change in number of rainy days in the municipality of Visconde de Mauá, Rio de Janeiro. Journal of Biotechnology and Biodiversity, 8(4), 297–303. https://doi.org/10.20873/jbb.uft.cemaf.v8n4.bunhak