Análise da variação espacial e sazonal e de tendências na precipitação da região sul do Brasil

Gonçalves, Fabiane Nunes; Back, Álvaro José

doi:10.19084/rca17204

Cited by 13 publications

(9 citation statements)

References 13 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this state, the rainfall is mainly concentrated in autumn (56%) 46 . The Southern region demonstrated a homogeneous distribution in rainfall, as found by Gonçalves and Back 47 …”

Section: Resultssupporting

confidence: 59%

Climate risk to peanut cultivation in Brazil across different planting seasons

Aparecido

Lorençone

et al. 2021

J Sci Food Agric

View full text Add to dashboard Cite

BACKGROUND Peanuts are widely grown in Brazil because of their great importance in the domestic vegetable oil industry and the succession of sugarcane, soybean and maize crops, contributing to soil conservation and improvement in agricultural areas. Thus, the present study aimed to determine the zoning of peanuts' climatic risk by estimating the water requirement satisfaction index (WRSI) for the crop in Brazil. We used a historical series of data on average air temperature and rainfall between 1980 and 2016. Reference evapotranspiration was estimated using the method of Thornthwaite, and we subsequently calculated crop evapotranspiration and maximum evapotranspiration. Water balances for all stations were calculated using the method of Thornthwaite and Mather, with an available water capacity in the soil of 15, 30 and 45 mm. The definitions of suitable, unfit and restricted areas and the planting season were performed using the WRSI. RESULTS Brazil has low climatic risk areas for growing peanuts throughout the year, except for winter. The country reveals that 88.19%, 97.93%, 99.16% and 39.25% of its area is suitable for planting peanuts on planting dates in spring, summer, autumn and winter, respectively. CONCLUSION Brazil has a large part of the areas favorable to the planting of peanuts. The maximum availability of soil water at a depth of 15, 30 and 45 mm does not influence regions with respect to peanut growing in Brazil. The states of Piauí, Ceará and Bahia are the most unsuitable on the winter planting date, with an average WRSI of 0.22. © 2021 Society of Chemical Industry

show abstract

“…In this state, the rainfall is mainly concentrated in autumn (56%) 46 . The Southern region demonstrated a homogeneous distribution in rainfall, as found by Gonçalves and Back 47 …”

Section: Resultssupporting

confidence: 59%

Climate risk to peanut cultivation in Brazil across different planting seasons

Aparecido

Lorençone

et al. 2021

J Sci Food Agric

View full text Add to dashboard Cite

show abstract

“…Our results are similar to those of Salviano et al (2016) [103], who analyzed the temporal trends of precipitation and the average temperature in Brazil from 1961 to 2011. Barbosa et al (2016) [104], Alcântara et al (2019) [105], Verçosa et al (2019) [106] and Bezerra et al (2021) [107], in different areas of the state of Pernambuco, Gonçalves and Back (2018) [108], in the southern region of Brazil, Thielen et al (2020) [109], in the Upper Paraguai basin, and Cabral Júnior and Lucena (2020) [110], in the state of Rio Grande do Norte, in which no trends were identified in the time series of precipitation. Of all the calculated indices, only the SPI-12 showed trends in some mesoregions.…”

Section: Discussionmentioning

confidence: 99%

Climate Indices-Based Analysis of Rainfall Spatiotemporal Variability in Pernambuco State, Brazil

Silva

Santos

Silva

et al. 2022

Water

View full text Add to dashboard Cite

In Brazil, the Northeast region, particularly the state of Pernambuco, is prone to extreme hydrological events, especially episodes of heavy rain and long periods of drought. This study examined the spatiotemporal variability of rainfall in Pernambuco and the occurrence of extreme rainfall events. In this study, the following climate indices were used in daily rainfall data from the historical series from 1990 to 2020: (a) the Precipitation Concentration Index (PCI), (b) the Standardized Precipitation Index (SPI), (c) the Precipitation Concentration Degree (PCD), (d) the Precipitation Concentration Period (PCP), and (e) the Rainfall Anomaly Index (RAI), and the non-parametric Mann–Kendall and Sen’s slope tests, for the analysis of trends in the series of precipitation and the studied climate indices. The results obtained indicated that the east of the state presents more distributed precipitation throughout the year, being “moderately seasonal” in the mesoregions Metropolitana do Recife and Zona da Mata; “seasonal” in the Agreste Pernambucano mesoregion; and “strongly seasonal” in the Sertão Pernambucano and Sertão do São Francisco mesoregions. The SPI found that the most severe and extreme droughts occurred in almost all mesoregions during the 1990s, except in the Sertão do São Francisco mesoregion, where they were predominant in the 2010s. Furthermore, based on the RAI index, it was possible to have a greater occurrence of negative anomalies than positive anomalies, especially in the last decade (2010–2020), indicating a possible change in rainfall patterns. However, more in-depth research is required to determine the possible causes of this increased number of negative anomalies. Finally, the trend analysis indicated that only the SPI-12 presented trends in the Metropolitana do Recife, Agreste, and Sertão Pernambucano mesoregions. However, Sen’s slope test indicated that the magnitude of these trends is not significant.

show abstract

“…An upward or downward trend in the monthly precipitation from each monitoring station was evaluated using the Seasonal Mann-Kendall (SMK) test, a variation of the Mann-Kendall (MK) test that considers the influence of seasonality on the samples (Hirsch et al, 1982). The test is widely used in the analysis of temporal trends in pluviometric data, because it is robust and presupposes the non-normality of the data under analysis (Gonçalves & Back, 2018). A similar method for analyzing precipitation trends was also used by other authors like Mann-Kendall Seasonal and exploratory data analysis (Stipp et al, 2013) and Mann-Kendall Seasonal test (Jong et al, 2018).…”

Section: Temporal Variability Analysismentioning

confidence: 99%

Pluviometric patterns in the São Francisco River basin in Minas Gerais, Brazil

Ferreira

Barroso

Dantas

et al. 2021

RBRH

View full text Add to dashboard Cite

This work aimed to evaluate the spatial-temporal variability of precipitation in the Minas Gerais section of the São Francisco River basin, an area of substantial socio-environmental relevance for the country and which has presented recent events of water scarcity. Multivariate and non-parametric statistical analyses were applied to the monthly precipitation data from 131 pluviometric stations, covering a period from 1989 to 2018. The results indicated distinct homogeneous pluviometric regions with greater spatial variability in rainfall patterns in the southern regions of the basin. Results from the temporal analysis indicated seasonality in the rainfall patterns for all seasons, with the rainy period predominantly occurring between October and March for the entire Minas Gerais section of the São Francisco River basin. No rainfall trend was identified in 78% of the stations, with the other stations (22%) showing a trend toward a reduction in rainfall volume.

show abstract

Análise da variação espacial e sazonal e de tendências na precipitação da região sul do Brasil

Cited by 13 publications

References 13 publications

Climate risk to peanut cultivation in Brazil across different planting seasons

Climate risk to peanut cultivation in Brazil across different planting seasons

Climate Indices-Based Analysis of Rainfall Spatiotemporal Variability in Pernambuco State, Brazil

Pluviometric patterns in the São Francisco River basin in Minas Gerais, Brazil

Contact Info

Product

Resources

About