Análise de tendência para dados pluviométricos no município de Toritama-PE

Alcântara, Lucas Ravellys Pyrrho de; Costa, Ialy Rayane de Aguiar; Barros, Vitor Hugo de Oliveira; Neto, Severino Martins Santos; Coutinho, Artur Paiva; Antonino, Antônio Celso Dantas

doi:10.24221/jeap.4.2.2019.2377.130-139

Cited by 10 publications

(10 citation statements)

References 14 publications

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“…Quando os valores correspondentes a U(t) são maiores que o limite de confiança (α = 0,05), a tendência é considerada significativa. Por outro lado, caso o ponto de interseção entre U(t) e U'(t) ocorra dentro dos valores críticos do intervalo de confiança, esse é o indicativo da quebra de série, ou seja, o início da mudança de tendência (Salvador, 2017;Bari et al, 2016;Alcântara et al, 2019).…”

Section: Dados E Alterações Nos Padrões De Chuvaunclassified

Análise Temporal da Chuva e Balanço Hídrico Climatológico para o Município de Chimoio, Moçambique

Cangela

Júnior

Morais

et al. 2021

Rev. Bras. Geog. Fis.

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O conhecimento da variabilidade temporal das chuvas, possibilita prever mudanças no sistema hidrológico, planejar e gerenciar os recursos hídricos locais. Assim, objetivou-se avaliar a variabilidade temporal da precipitação pluvial e, realizar o Balanço Hídrico Climatológico (BHC), visando a caracterização da disponibilidade hídrica face às mudanças nos padrões de chuva do município de Chimoio, Moçambique, como também, classificá-lo climaticamente. Para isso, foram obtidos dados diários de precipitação pluvial e temperatura média do ar para o período de 1989 a 2018. A variabilidade da precipitação foi avaliada mediante a aplicação do Desvio Padronizado da Precipitação, teste sequencial de Mann-Kendall e regressão linear. Por meio do BHC foram determinados: deficit hídrico (DEF), excesso hídrico (EXC), retirada de água do solo (RET), reposição de água da chuva ao solo (REP), evapotranspiração real (ETR) e evapotranspiração potencial (ETP). A classificação climática foi obtida por meio dos índices: hídrico (Ih), aridez (Ia), umidade (Iu) e eficiência térmica (Iet). A precipitação pluvial de Chimoio não apresentou mudanças significativas no seu comportamento. Contudo, verificou-se grande oscilação, com valores anuais variando de 546,6 mm a 1724 mm, e média de 1016,63 mm. Observou-se um DEF anual de 240 mm entre abril e novembro, EXC de 226,4 mm e REP 96,4 mm entre dezembro e janeiro. O clima foi caracterizado como C2 B’3 s2 w a’. Os resultados obtidos poderão subsidiar o desenvolvimento de políticas públicas voltadas ao gerenciamento dos recursos hídricos, além de mitigar impactos ocasionados pela variabilidade da chuva no município de Chimoio, Moçambique. Temporal analysis of rainfall and climate water balance for the municipality of Chimoio, MozambiqueA B S T R A C TThe knowledge of the temporal variability of rainfall makes it possible to foresee changes in the hydrological system, to plan and manage local water resources. The objective was to evaluate the temporal variability of rainfall and to carry out the Climatic Water Balance (CWB), aiming to characterize water availability in the face of changes in rainfall patterns in the municipality of Chimoio, Mozambique, as well as to classify it climatically. For this purpose, daily rainfall data and average air temperature were obtained for the period from 1989 to 2018. The variability of precipitation was assessed by applying the Standardized Precipitation Deviation, Mann-Kendall sequential test, and linear regression. The CWB determined: water deficit (WD), water surplus (WS), removal of water from the soil (RWS), replacement of rainwater to the soil (RRS), actual evapotranspiration (AET) and potential evapotranspiration (PET). The climatic classification was obtained by means of the indices: water (Iw), aridity (Ia), humidity (Ih), and thermal efficiency (Ite). The Chimoio rainfall did not show significant changes in its behavior. However, there was a large oscillation, with annual values ranging from 546.6 mm to 1724 mm, and an average of 1016.63 mm. An annual WD of 240 mm was observed between April and November, WS of 226.4 mm, and RRS 96.4 mm between December and January. The climate was characterized as C2 B'3 s2 w a'. The results obtained can support the development of public policies aimed at the management of water resources, in addition to mitigating the impacts caused by the variability of rainfall in the municipality of Chimoio, Mozambique.Keywords: water deficit, climatic classification, climate changes, Mann-Kendall.

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Section: Dados E Alterações Nos Padrões De Chuvaunclassified

Análise Temporal da Chuva e Balanço Hídrico Climatológico para o Município de Chimoio, Moçambique

Cangela

Júnior

Morais

et al. 2021

Rev. Bras. Geog. Fis.

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“…Trend detection is a current topic in hydrological research in Brazilian watersheds. Several authors have employed the MK test for the analysis of streamflow and precipitation trends in human-populated basins [19][20][21], the evaluation of the impacts of land-cover and land-use changes on the hydrological regime [22], the estimation of resource availability for water distribution systems [23], and the assessment of surface water quality near urban centers [24], among other purposes.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Arrieta-Castro

Donado-Rodríguez

Acuña

et al. 2020

Water

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The aim of this research is the detection and analysis of existing trends in the Meta River, Colombia, based on the streamflow records from seven gauging stations in its main course, for the period between June 1983 to July 2019. The Meta River is one of the principal branches of the Orinoco River, and it has a high environmental and economic value for this South American country. The methods employed for the trend detection and quantification were the Mann–Kendall (MK) test, the modified MK (MMK) test, and the Sen’s slope (SS) estimator. Statistically significant trends (at a 95% level of confidence) were detected in more than 30% of the 105 evaluated datasets. The results from the MK test indicate the presence of statistically significant downward trends in the upstream stations and upward trends in the downstream stations, with the latter presenting steep positive slopes. The findings of this study are valuable assets for water resources management and sustainable planning in the Meta River Basin.

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“…Em contrapartida, Minuzzi e Caramori (2011) não detectaram mudanças significativas no comportamento da chuva no estado do Paraná, apesar das descontinuidades notadas nas décadas de 1980 e 1990 para chuvas sazonais e anuais em alguns postos. Outros estudos também relatam a inexistência de tendência em séries temporais de precipitação em outras regiões do país, o que evidencia a heterogeneidade climática brasileira e a cautela necessária em análises mais abrangentes (Marengo e Alves, 2005;Alexandre et al, 2010;Blain, 2010;Lima et al, 2011;Nunes et al 2018;Penereiro e Meschiatti, 2018;Alcântara et al, 2019;Melo et al, 2019).…”

Section: Período Analisadounclassified

“…No Sul do Brasil, as afluências mostraram-se não-estacionárias nos estudos de Detzel et al (2011) e Bartiko et al (2017). Com relação às séries de precipitação no Brasil, relatase tanto viés crescente (Berlato e Cordeiro;Nunes et al, 2018;Quadros et al, 2018;Guedes et al, 2019) como decrescente (Santos e Nishiyama, 2016), e ainda ausência de tendência (Sá et al, 2018;Alcântara et al, 2019;Melo et al, 2019).…”

Section: Introductionunclassified

Análise de Séries Hidrológicas na Bacia Hidrográfica afluente à Usina Hidrelétrica Castro Alves, RS

Ribeiro

Bortolin

Mendes

et al. 2021

Rev. Bras. Geog. Fis.

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This study aims to analyze the stationariety and homogeneity of rainfall and streamflow series of the contribution basin of Castro Alves Hydroeletric Power Plant, in Southern Brazil. The rainfall data were acquired from the Agência Nacional de Águas, and the average rainfall series was calculated for the period from 1945 to 2017. The streamflow data were acquired from the Operador Nacional do Sistema Elétrico covering a period from 1945 to 2017. The analysis were performed in the complete series and in two periods obtained from the same, referring to the period before and after 1970. Six statistical tests were used to check the stationarity: t-Student, F-Snedecor, Spearman Correlation Coefficent, Cox-Stuart, Mann-Whitney and Mann-Kendall. The verification of the point of change in the series of total annual precipitations, monthly totals and monthly average flows was performed using Pettitt’s test. The analysis results made it possible to conclude that the hydrological series are non-stationary. The period prior to 1970 was characterized as non-stationary. The period after 1970 showed significant signs of stationarity and homogeneity for both variables. Using the Pettitt test, a trend change was identified in the year 1971 and 1970 for the series of annual total precipitations and monthly mean flows, respectively. In the monthly analyzes of the series, it was found that the increase in the precipitated total was more accentuated in the dry months of May and November. This corroborates the more pronounced increase in the average monthly streamflow observed in those same months.

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Análise de tendência para dados pluviométricos no município de Toritama-PE

Cited by 10 publications

References 14 publications

Análise Temporal da Chuva e Balanço Hídrico Climatológico para o Município de Chimoio, Moçambique

Análise Temporal da Chuva e Balanço Hídrico Climatológico para o Município de Chimoio, Moçambique

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Análise de Séries Hidrológicas na Bacia Hidrográfica afluente à Usina Hidrelétrica Castro Alves, RS

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