Caracterização do Regime Pluviométrico do Município de Araguaína – TO

Mendes, Alesi Teixeira; Zukowski, Joel Carlos

doi:10.1590/0102-7786344056

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…The measured rainfall and flow were obtained from the National Water and Sanitation Agency (ANA, 2021c), where the continuous data series with the lowest number of failures in the 39-year period (1981-2019) of five stations was selected hydrological systems distributed along the Araguaia River. Filling in gaps was not applied, as in addition to having a low absence of measurements, it is not recommended due to the risk of inconsistency and subjectivity in the analysis (Mendes and Zucowski Junior, 2019;Nascimento et al, 2020). To represent the spatial distribution of precipitation in the AW, the CHIRPS dataset (Climate Hazards Group InfraRed Precipitation with Stations) with a high spatial resolution (0.05°-5 km) was used to estimate the rainfall regime (Funk et al, 2015;Costa et al, 2019).…”

Section: Data Acquisition and Processingmentioning

confidence: 99%

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Gomes

Nascimento

Pereira

et al. 2022

Rev. Bras. Ciênc. Ambient.

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The climatic extremes and the dynamics of land use and cover can cause changes in river flow. The objective of this work was to analyze the flow of the Araguaia River under the effects of extreme years associated with the dynamics of land use in the Araguaia Watershed (AW) from 1981 to 2019. The land use and land cover product were based on the MapBiomas Project classification, imported from the Google Earth Engine. The measured rainfall and flow data were obtained from the National Water Agency. In contrast, the estimated rainfall was based on the data Climate Hazards Group InfraRed Precipitation with Stations. The precipitation climatology showed the lowest values (1,464.9–1,720.4 mm) in the south-central sector, and the highest (1,720.4–2,014.6 mm) rainfall amounts were observed in the north sector. However, it was identified in the five pluviometric stations with a high variability of precipitation, with an emphasis on the extreme years. Such wet and dry years were marked by a large difference in water availability. There was an intense reduction of the Amazon and Cerrado biomes by 31,641.8 and 42,618.9 km², respectively, mainly due to the expansion of 18,936.1 km² of agricultural activities and 47,494 km² of pasture. The fluviometric variability showed a decreasing trend, mainly in the past 15 years. Public actions, such as the intensification of environmental policies, monitoring focusing on the most compromised and strategic areas such as the headwaters of the Araguaia River, can minimize the impacts caused by climate extremes and deforestation.

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Section: Data Acquisition and Processingmentioning

confidence: 99%

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Gomes

Nascimento

Pereira

et al. 2022

Rev. Bras. Ciênc. Ambient.

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“…Data from pluviometric stations in the study area were obtained from the HidroWeb portal of the National Water Agency (Agência Nacional das Águas, 2020). Stations that have been providing such data for at least 30 years were selected (01/01/1989 to 31/12/2018), as recommended by the World Meteorological Organization (WMO) (World Meteorological Organization, 1989) and considered by other authors (Lemos et al, 2018;Mendes & Zukowski Júnior, 2019;Lira, 2019;Campos & Chaves, 2020). Based on this criterion, 131 pluviometric stations (Figure 1) and their respective monthly precipitation volumes were selected.…”

Section: Database Selection and Organizationmentioning

confidence: 99%

“…The identification of homogeneous regions of rainfall (Amanajás & Braga, 2012;Santos & Morais, 2013;Chierice & Landim, 2014;Menezes et al, 2015;Azevedo et al, 2017) can contribute to assess the spatial effects of climate change. The temporal variation of the precipitation regime can be characterized from studies of seasonal behavior (Chierice & Landim, 2014;Mendes & Zukowski Júnior, 2019;Dias et al, 2020). Thus, the spatio-temporal characterization of precipitation series can contribute to the diagnosis and monitoring of the rainfall regime of hydrographic basins.…”

Section: Introductionmentioning

confidence: 99%

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

Ferreira

Barroso

Dantas

et al. 2021

RBRH

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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.

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Characterization of precipitation and frequency of rainy days in the municipality of Botucatu – São Paulo – Brazil

Franco,

de Oliveira,

Pai

et al. 2024

Preprint

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Knowledge of the rainfall regime is vital information for agricultural and environmental activities. Rainfall is a component of the hydrological cycle, in which liquid water uses energy from the environment to change its phase to the gaseous phase. The cooling of this water vapor causes condensation and subsequent precipitation. Mean precipitation values, distribution during the year, variation between years, and maximum and minimum values are useful parameters for rural and urban planning. This study aimed to characterize the rainfall regime in the municipality of Botucatu through the assessment of precipitation and frequency of rainy days, considering the history of 52 years. The mean local precipitation during the period of analysis was 1,525.53 ± 284.71 mm. The rainiest month is January, with 284.92 ± 123.87 mm, which is also one of the months with the highest variability. August is the month with the lowest rainfall volume, reaching 40.40 ± 43.72 mm. The highest rainfall volume was observed in 1983, with 2,278 mm accumulated and 147 days of rain. In 1984, the lowest rainfall volume was observed, reaching 964 mm, and only 82 days of rain. The mean number of annual rainy days is 107 ± 14 days. In terms of the frequency of rainy days, 50% of the years in the analyzed history had 12 days or more of rainfall in January, February, March, November, and December. The remaining 50% of the years had up to two days of rain in July and up to 4 days in June.

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Caracterização do Regime Pluviométrico do Município de Araguaína – TO

Cited by 6 publications

References 23 publications

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

Flow variability in the Araguaia River Hydrographic Basin influenced by precipitation in extreme years and deforestation

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

Characterization of precipitation and frequency of rainy days in the municipality of Botucatu – São Paulo – Brazil

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