Análise do Índice Padronizado de Precipitação para o Estado de São Paulo

Siqueira, Beatriz; Nery, Jonas Teixeira

doi:10.26848/rbgf.v10.6.p1775-1783

Cited by 7 publications

(8 citation statements)

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“…Although it is widely used to identify drought events [65][66][67], the SPI is also used to characterize rainfall anomalies in Brazil [68] and to understand the variability of rainfall [8,[69][70][71].…”

Section: Standardized Precipitation Indexmentioning

confidence: 99%

Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia–Iguape Coastal System, Southeast Region of Brazil

Baratto,

de Bodas Terassi,

de Beserra de Lima

et al. 2024

Climate

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The objective of this research is to select the best orbital sensor for rainfall estimates (monthly and annual scales) and to analyze the frequency and magnitude of extreme rainfall events and their trends and disruptions based on the use of satellite rainfall product data for the Cananeia–Iguape Coastal System (CICS). Data from four satellite rainfall products were used to identify the correspondence with seven points on the surface of the study area. Statistical metrics were used to identify the best satellite rainfall product. After identifying the sensor with the best performance in estimating orbital precipitation, extreme events were identified by the Standardized Precipitation Index (SPI) on a one-month (SPI-1), three-month (SPI-3), and twelve-month (SPI-12) scale. Trend and rupture detection in the time series were performed using different statistical techniques (Mann–Kendall, Pettitt, Standard Normal Homogeneity Test, or Buishand test). Among the satellite rainfall products, CHIRPS had the best measurements for the analyzed points on the surface. The year 1983 was characterized as very rainy, also marked by the occurrence of El Niño, and was marked by the rupture of the rains at all points (IDs 1, 2, 3, 4, 5, 6, and 7) analyzed in the month of June. The decrease in monthly rainfall was more significant in the months of February (at points IDs 1, 2, 3, 5, and 7) and April (IDs 1, 3, 5, and 7). Decreased rainfall may cause CICS mangrove shrinkage. These results showed the importance of studying rainfall in an area with mangroves in order to understand the dynamics of vegetation in the face of climate change.

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Section: Standardized Precipitation Indexmentioning

confidence: 99%

Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia–Iguape Coastal System, Southeast Region of Brazil

Baratto,

de Bodas Terassi,

de Beserra de Lima

et al. 2024

Climate

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“…Among so many climatic variables, rainfall is the one that has a positive or negative impact on society, since the most of the economic activities, especially agricultural, are affected in a long term by such variation, leading to a significant increase in extreme dry and rainy events (Costa et al, 2015, Siqueira & Nery, 2017.…”

Section: Introductionmentioning

confidence: 99%

A New Evaluation Methodology Application of Dry Severity for the City of Campina Grande-Pb

Nascimento

Silva²,

Medeiros³

et al. 2022

Rev. AIDIS ing. cienc. ambient.

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Droughts come from natural factors, and when they occur, cause changes in the climate, whether on a punctual or diffuse scale, and this cycle is constantly repeated, but in recent decades these impacts have increased with human actions from deforestation and burning of fossil fuels. Thus, the objective of this work is to employ a new application of the Drought Index methods (IAC, IPN and MD) to the data from the historical rainfall series of the municipality of Campina Grande - PB in the state of Paraíba, in order to classify the data on a monthly and annual scale, in order to identify the intensity over the years studied in this research. The pluviometric data used in the research correspond to the historical series from 1980 to 2019, which are divided into monthly precipitation data, provided by the Northeast Development Superintendence, National Institute of Meteorology and the Paraíba Water Management Executive Agency. The proposed methodology, in addition to the new standardization of the Drought Intensity Index (IIS), proposes a new characterization of the final rainfall condition or drought severity index. Finally, it allows environmental agencies and managers better conditions to adapt to problems related to drought and extreme rainfall, for greater management of water resources.

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“…Dentre tantas variáveis climáticas, a precipitação pluviométrica pode acarretar impactos positivos ou negativos para sociedade local, visto que praticamente todas as atividades econômicas, especialmente a agrícola, sofrem a longo prazo por estas variações, contribuindo para o aumento significativo de eventos extremos de períodos de secas e chuvosos (Siqueira & Nery, 2017).…”

Section: Introductionunclassified

Análise do Índice de Anomalia de Chuva na região do extremo sul do Estado do Espírito Santo – ES

Ferreira

Silva

Muniz

et al. 2021

RSD

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Objetivou-se analisar a variabilidade temporal da precipitação pluviométrica na região das ottobacias dos Rios Itapemirim, Benevente e Itabapoana, sul do Espírito Santo, identificando assim os períodos secos e chuvosos por meio do Índice de Anomalia de Chuva. Foram selecionadas 10 estações pluviométricas pertencentes ao Instituto Nacional de Meteorologia (INMET), cuja a extensão da série foi de 1991 a 2020. Foram identificados em todas as estações períodos com anomalias positivas e negativas. Destaca-se as estações Vila Nova Maravilha, Ibitirama e Domingos Martins (DNOS) que foram classificadas como extremamente secas nos últimos anos. Em contra partida, as estações Ponta da Fruta, Fazenda Monte Alegre, Santa Cruz – Caparaó e Burarama apresentam uma condição hídrica mais favorável, de maneira geral, ocorre alternância entre anos com anomalias positivas e negativas. Foi identificado um possível “ponto de inflexão” em 2015, a partir do qual ocorre uma provável mudança no padrão de chuvas, quando se analise o Índice de Anomalia de Chuva médio. A precipitação média anual da região foi de 1466,4 mm, com variações entre 975,6 mm (estação Domingos Martins (DNOS), zona natural seca – sudeste da ottobacia do Rio Itapemirim) a 2010,1 mm (estação Vila Nova Maravilha, zona natural chuvosa – sudoeste da ottobacia Rio Benevente). Destaca-se a estação Burarama (região central da ottobacia do Rio Itapemirim) que apesar de localizada na zona natural seca, apresentou o segundo maior total precipitado (1659,6 mm). Os meses de fevereiro, abril, maio, junho, julho e setembro, apresentaram totais precipitados inferiores à média da região, cujo valor foi de 122,2 mm.

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Análise do Índice Padronizado de Precipitação para o Estado de São Paulo

Cited by 7 publications

References 0 publications

Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia–Iguape Coastal System, Southeast Region of Brazil

Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia–Iguape Coastal System, Southeast Region of Brazil

A New Evaluation Methodology Application of Dry Severity for the City of Campina Grande-Pb

Análise do Índice de Anomalia de Chuva na região do extremo sul do Estado do Espírito Santo – ES

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