Pluviometric behavior and trends in the Legal Amazon from 1986 to 2015

Lira, Bruna Roberta Pereira; Fernandes, Lindemberg Lima; Ishihara, Júnior Hiroyuki

doi:10.1007/s00704-022-04200-7

Cited by 6 publications

(7 citation statements)

References 24 publications

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“…It is important to note that the main assumption for the classical frequency analysis of extreme values, as proposed in this study, is the nonrejection of the stationarity hypothesis in the studied series (Ballarin et al, 2022). This premise was verified using the Mann-Kendall test at p ≤ 0.01, the most commonly reported significance level for this purpose (Oliveira et al, 2021;Lira et al, 2022). In addition to this baseline assumption, the assumptions of independence, randomness, and homogeneity were also verified, using the Wald-Wolfowitz test, Wallis and Moore Phase-Frequency test, and the Standard Normal Homogeneity Test (SNHT), respectively, at p ≤ 0.01 (Wallis & Moore, 1941;Wald & Wolfowitz, 1943;Khaliq & Ouarda, 2007;Naghettini & Pinto, 2007).…”

Section: Methodssupporting

confidence: 56%

“…The study by mentions the weightings presented by Santos et al (2013), which stressed that many physical processes, such as the El Niño-Southern Oscillation (ENSO), the South Atlantic Intertropical Convergence Zone (SACZ), and the Pacific Decadal Oscillation (PDO), influence the rainfall regime of the region that encompasses the upper Tarauacá River basin (Lira et al, 2022).…”

Section: /8mentioning

confidence: 99%

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Heavy rainfall events in the state of Acre, western Amazonia

Moreira,

Almeida,

Silva

et al. 2024

Rev. bras. eng. agríc. ambient.

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Preventing the occurrence of extreme hydrological events exceeds the current abilities of humanity. However, using adequate tools to estimate the probability associated with different values of hydrological variables, such as heavy rainfall, can help mitigate social and environmental damage. This study aimed to verify the hypothesis that the records of maximum rainfall, at different intervals of duration, in the three main rainfall stations in the state of Acre fit the log-normal distribution of two parameters (LN2) and, therefore, to evaluate the events of heavy rainfalls, based on the association between the duration of the rain and the return period. The equations conformed to the classic model of the LN2 model using the method of maximum likelihood once the baseline assumption of stationarity was met using the Mann-Kendall test. Adherence to the model was verified using the Anderson-Darling test. The adjusted distributions allowed for estimating the rainfall intensity at different durations and return periods for the cities of Cruzeiro do Sul, Tarauacá, and Rio Branco and are relevant elements for planning actions aimed at strengthening the components of water safety in the state of Acre.

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Section: Methodssupporting

confidence: 56%

Section: /8mentioning

confidence: 99%

Heavy rainfall events in the state of Acre, western Amazonia

Moreira,

Almeida,

Silva

et al. 2024

Rev. bras. eng. agríc. ambient.

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“…Negative rainfall trends with an average reduction in precipitation of 5 mm per year in the Legal Amazon were identified by [55], in the southern region of the Legal Amazon by [24] along the "deforestation arc" and in the southern region of the Amazon Basin by [10], where deforestation is widespread, evidenced a significant drought trend. For the authors, deforestation older than a decade increased rainfall in the dry season and older deforested regions reduced rainfall during the dry season.…”

Section: Discussionmentioning

confidence: 99%

Precipitation Variability for Protected Areas of Primary Forest and Pastureland in Southwestern Amazônia

Moreira

Santos

Sanches

et al. 2023

Climate

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Daily and monthly rainfall data provided by surface rain gauges in the Amazon Basin are sparse and defective, making it difficult to monitor rainfall patterns for certain portions of its territory, in this sense, estimations of precipitation from remote sensing calibrated with rain gauge data are key to overcome this problem. This paper presents a spatiotemporal analysis of the precipitation distribution for Rondônia State, in southwestern Amazonia. Data from Climate Hazards Group InfraRed Precipitation and Station (CHIRPS) were analyzed, using a pooled time analysis of a forty-year period (1981–2020). Data obtained from remote sensing were validated by rain gauges distributed over the study region. Pixel-by-pixel trend analyzes were developed by applying the Mann-Kendall test and Sen’s slope test to study the magnitude of the trend. The analysis revealed that CHIRPS presents a tendency to underestimate precipitation values in most cases. Among the metrics, mean values between very good (<±15%) and good (±15–±35%) were observed using PBIAS; mean RMSE values range from 57.8 mm to 107.9 mm; an average agreement level of 0.9 and an average SES of 0.5; and good fit for the linear regression model (average R2 > 0.70) for about 64.7% of the stations. Sen’ slope spatialization results show a reduction of approximately −15 mm year−1, with decrease mainly in the Northern Region of Rondônia, which has extensive areas where the native forest has been replaced by pasture.

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“…The resulting climate has been altered and enhanced in the last 50 years by the expansion of the irregular use and occupation of regional soils [2][3][4]. Thus, ecological maintenance and restoration programs, as well as the expansion of agricultural projects throughout Brazil, must take into account the regional Amazonian climate analysis, especially when associated with extratropical phenomena [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…Despite its importance in the global climate context, the study of climatological data through historical series in the region still faces challenges, due to the insufficiency or discontinuity of regionalized data. It is a condition that repeats for every north and northeast area of Brazil [5][6][7]. The presence of large unmonitored empty spaces is the main obstacle in serial climatological studies.…”

Section: Introductionmentioning

confidence: 99%

Historical Projection of the Rainfall Distribution in the North Region of Brazil

Aprile, F.,

Darwich, A. J.,

Siqueira, G. W.

2024

ACRI

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From a set of primary and secondary monthly data from 1991 to 2022, the annual and seasonal climatological pattern of the North region of Brazil, where most of the Amazon Biome is located, was analyzed. An incomplete Gamma distribution model was applied to the climatological precipitation data (mm); atmospheric pressure (mb); incidence of solar radiation (kJ/m²); air temperature and dew (ºC); relative humidity (%); wind intensity (m/s) with direction and maximum gust. Data normalization techniques and spatial similarity identified different patterns and trends of precipitation in the region, with significant seasonality, especially in terms of rainfall. The highest precipitation rates occurred in the N-NW axis, inside the northern Amazonian area, while the lowest values were observed in the southern equatorial zone, on the limits of the Pará State with the Cerrado Biome. Four zones and one climate range were established: southern, central, northern west and northern east zones and extreme north area, all with significant similarity in precipitation and humidity. A trend was observed in the number of days with precipitation between 25 and 50% in the southern and central zones, and an increase in precipitation of 50 to 75% for the northern zone. The wind distribution model showed a tendency towards the presence of isotropic climate phenomena, presenting the same properties or characteristics. The results obtained are relevant to support research aimed at understanding global warming and its consequences, in addition to contributing to forest management programs, and establishing more effective protocols for cultivation in agricultural areas in the Amazon.

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Pluviometric behavior and trends in the Legal Amazon from 1986 to 2015

Cited by 6 publications

References 24 publications

Heavy rainfall events in the state of Acre, western Amazonia

Heavy rainfall events in the state of Acre, western Amazonia

Precipitation Variability for Protected Areas of Primary Forest and Pastureland in Southwestern Amazônia

Historical Projection of the Rainfall Distribution in the North Region of Brazil

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