Climatological Water Balance With Data Estimated by Tropical Rainfall Measuring Mission for the Doce River Basin

Louzada, Franciane Lousada Rubini de Oliveria; Xavier, Alexandre Cândido; Pezzopane, José Eduardo Macedo

doi:10.1590/1809-4430-eng.agric.v38n3p376-386/2018

Cited by 10 publications

(5 citation statements)

References 26 publications

(30 reference statements)

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“…Além disso, nesta mesma região, foram observados os maiores erros. Alguns estudos (LOUZADA et al, 2018) afirmam que o TRMM tem uma tendência de superestimar as precipitações, enquanto outros, mostram uma tendência de subestimativa (AS-SYAKUR et al, 2011). Já em outros trabalhos (LI et al, 2012), o produto TRMM não apresentou um padrão, super e subestimando os valores de precipitação pluvial, mostrando a importância de conhecer o padrão do produto em determinada região.…”

Section: Resultsunclassified

Precipitação Estimada Por Sensoriamento Remoto No Estado De Sergipe

Silva

Bispo

Almeida

et al. 2020

NAT

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Atualmente, dados de sensoriamento remoto, como os do Tropical Rainfall Measuring Mission (TRMM), vem sendo utilizados para monitorar a distribuição da chuva no tempo e no espaço. O objetivo deste trabalho foi avaliar a qualidade dos dados da precipitação pluvial estimada pelo produto 3B43-TRMM no estado de Sergipe, nas escalas mensal e anual, entre 1998 e 2013. Os valores pontuais estimados pelo TRMM foram comparados com os dados de precipitação obtidos em 13 postos pluviométricos da Agência Nacional de Águas (ANA). Os indicativos estatísticos considerados foram o coeficiente de determinação (R²), erro médio absoluto (EMA), raiz do erro quadrado médio (REQM) e índice de concordância de Willmott (d). Os valores de R² foram de 0,49 e 0,16 nas escalas mensal e anual, respectivamente. Para a escala de tempo mensal as melhores estimativas do produto TRMM foram encontradas na região Semiárida do estado de Sergipe, com valores de R², EMA, REQM e d iguais a 0,54, 27,18 mm e 38,71 mm e 0,83, respectivamente.Palavras-chave: 3B43-TRMM; climatologia; hidrologia; chuva. ANALYSIS OF ESTIMATED PRECIPITATION DATA BY REMOTE SENSING IN THE SERGIPE STATE ABSTRACT: Currently, remote sensing data, such as that of the Tropical Rainfall Measuring Mission (TRMM), has been used to monitor the distribution of rain over time and space. The objective of this work was to evaluate the quality of the rainfall data estimated by the product 3B43-TRMM in the state of Sergipe, on the monthly and annual scales, between 1998 and 2013. The point values estimated by the TRMM were compared with the precipitation data obtained in 13 pluviometric stations of the National Water Agency (ANA). The statistical indications considered were the coefficient of determination (R²), mean absolute error (EMA), root of the mean square error (REQM) and Willmott's agreement index (d). The R² values were 0.49 and 0.16 on the monthly and annual scales, respectively. For the monthly time scale, the best estimates of the TRMM product were found in the semi-arid region of the state of Sergipe, with values of R², EMA, REQM and d equal to 0.54, 27.18 mm and 38.71 mm and 0.83, respectively.Keywords: 3B43-TRMM, climatology; hydrology; rain.

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Section: Resultsunclassified

Precipitação Estimada Por Sensoriamento Remoto No Estado De Sergipe

Silva

Bispo

Almeida

et al. 2020

NAT

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“…This criterion of using at least 12 hours also facilitates the design of diffuse pollution control structures, as suggested by Louzada et al (2018). In this interval logic, these drainage systems must have a final reservoir for rainwater accumulation or a detention basin, which is used as a temporary reservoir for a period lower than 24 hours.…”

Section: Discussionmentioning

confidence: 99%

Light Rain Characterization in Piracicaba, São Paulo State, Brazil

Johanson¹,

Farias-Ramirez²,

Jacomazzi³

et al. 2023

Eng. Agríc.

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The disorderly soil occupation without the necessary conservationist practices leads to impacts on the local hydrology and induces the pollution of water resources. This pollution may come from more urbanized areas due to the amount of pollutants drained during the rains. Even moderate precipitations constitute one of the main factors that define pollutant runoff on the surface. These rains have recently been called light rains. Light rains have a lower precipitation height and a higher frequency compared to classic rains of drainage projects, being necessary to define them according to patterns of rain frequency for each region. This study aimed to characterize light rain in the municipality of Piracicaba to establish statistical standards for the frequency of certain precipitation heights. A database provided by the ESALQ/USP automatic weather station, which provides precipitation measurements every 15 minutes, was used in the present study. Light rain heights reached 40.3, 41.4, and 42.7 mm for 100, 90, or 80% frequencies, respectively, which implies the use of return periods of 1.00, 1.11, and 1.25 years, respectively.

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“…Information regarding vegetation comes mostly from Governmental institutes, as well as the detailed land use information that was also obtained from regional, territorial development plans. In the same way, a review of the results of the model and a comparison with results of other studies nearby, in tropical or similar areas was made [25][26][27][28][29][30][31], to verify the veracity of the results and ensure that they are within a correct range of magnitudes.…”

Section: Discussionmentioning

confidence: 99%

Projected Changes in the Water Budget for Eastern Colombia Due to Climate Change

Molina

Luong

Bernhofer

2019

Water

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There is a lack of information about the effect of climate change on the water budget for the eastern side of Colombia, which is currently experiencing an increased pressure on its water resources due to the demand for food, industrial use, and human demand for drinking and hygiene. In this study, the lumped model BROOK90 was utilized with input based on the available historical and projected meteorological data, as well as land use and soil information. With this data, we were able to determine the changes in the water balance components in four different regions, representing four different water districts in Eastern Colombia. These four regions reflect four different sets of climate and geographic conditions. The projected data were obtained using the Statistical Downscaling Model (SDSM), in which two global climate models were used in addition to two different climate scenarios from each. These are the Representative Concentration Pathways (RCP) RCP 2.6 and RCP 8.5. Results showed that the temporal and spatial distribution of water balance components were considerably affected by the changing climate. A reduction in the generated streamflow for all of the studied regions is shown and changes in the evapotranspiration and stored water were varied for each region according to both the climate scenario as well as the characteristics of soil and land use for each area. The results of spatial change of the water balance components showed a direct link to the geography of each region. Soil moisture was reduced considerably in the next decades, and the percentage of decrease varied for each scenario.

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Climatological Water Balance With Data Estimated by Tropical Rainfall Measuring Mission for the Doce River Basin

Cited by 10 publications

References 26 publications

Precipitação Estimada Por Sensoriamento Remoto No Estado De Sergipe

Precipitação Estimada Por Sensoriamento Remoto No Estado De Sergipe

Light Rain Characterization in Piracicaba, São Paulo State, Brazil

Projected Changes in the Water Budget for Eastern Colombia Due to Climate Change

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