Sazonalidade do Balanço de Energia e Evapotranspiração em Área Arbustiva Alagável no Pantanal Mato-Grossense

Machado, Nadja Gomes; Biudes, Marcelo Sacardi; Angelini, Lucas Peres; Mützenberg, Dalila Morgana de Souza; Nassarden, Danielle Christine Stenner; Bílio, Reinaldo de Souza; Silva, Tonny José Araújo da; Neves, Geraldo Aparecido Rodrigues; Arruda, Paulo Henrique Zanella de; Nogueira, José de Souza

doi:10.1590/0102-778620140164

Cited by 8 publications

(7 citation statements)

References 38 publications

(37 reference statements)

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“…The average daily evapotranspiration was 3.57 mm day −1 , with a minimum of 0.60 mm day −1 in May and a maximum of 5.87 mm day −1 in February, which is due to a higher Qg availability and a high Tair. These results are in accordance with those found by Machado et al (2016) in Cuiabá, MT, who observed a maximum evapotranspiration of 5.7 mm day −1 in the undergrowth vegetation area. Regarding the energy balance components in the simulated green roof, Rn values ranged from 0.64 to 17.11 MJ m −2 day −1 over the monitoring period ( Figure 6).…”

Section: Resultssupporting

confidence: 93%

Green Roof: Simulation of Energy Balance Components in Recife, Pernambuco State, Brazil

et al. 2018

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Green roof is a technology that consists of the use of soil and vegetation installed in the roof of buildings, being a great solution to combat heat islands. Thus, this study aimed to compare micrometeorological changes and their effect on the energy balance of nonvegetated (slab) and vegetated building roofs by means of a simulation model calculated as a function of the reference evapotranspiration (ETo), determined by the Penman-Monteith method. This research was developed between February 1 and September 30, 2016, in the Charles Darwin Building's Parking Garage, Rio Ave Empreendimentos, Recife, PE, Brazil. For this, a weather station was installed on the external building slab. On the slab, sensible, latent, and soil heat fluxes corresponded to 75, 22, and 3%, respectively, of the energy balance. In the simulated green roof, these fluxes reached values of 6, 87, and 7%, respectively. The simulation model allowed determining the energy balance for the green roof, indicating a lower sensible heat flux (69%) and a higher latent heat flux (55%) when compared to those found in the slab.

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Section: Resultssupporting

confidence: 93%

Green Roof: Simulation of Energy Balance Components in Recife, Pernambuco State, Brazil

et al. 2018

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“…As in other studies that evaluated the ET measured by flux site ( MACHADO et al, 2016;OLIVEIRA et al, 2006;SANCHES et al, 2011) and by remote sensing (PENATTI et al, 2015) it was verified that ET GLEAM and the ET Water Balance are able to observe the seasonality of evapotranspiration in the Pantanal system ( Figure 2). Higher rates were observed during the rainiest months (≈101 mm.month -1 ET GLEAM and ≈106 mm.month -1 ET Water Balance) -October to April -and lower rates during the dry season (≈45 mm.month-1 ET GLEAM and ≈49 mm.month -1 ET Water Balance) -May to September.…”

Section: Resultssupporting

confidence: 76%

Remote Sensing of Water Balance in Pantanal

et al. 2019

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Pantanal, located in the Upper Paraguay basin, is the world’s largest tropical wetland. The maintenance of this ecosystem depends on the water balance since precipitation is seasonal and high losses of water occur due to the high evapotranspiration. Water balance assessment using in situ data is still a challenge due to the large extension of the area and the complexity to be represented. In this study, the water balance in the Upper Paraguay basin was investigated based on hydrological variables derived from remote sensing data. Precipitation, evapotranspiration, and water storage change data were estimated with accuracy by the water balance, but the same was not possible for the discharge. However, high uncertainties in the estimates were verified, mainly during the rainy season. The remote sensing data allowed the identification of the seasonality of hydrological variables in the Pantanal system and in the different regions of the basin: Chaco, Pantanal and Planalto. Water deficit in the basin was observed from March/April to September as well as a positive water balance due to precipitation during the rest of the year. The spatial analysis of the basin showed that in the northern region, the precipitation, the evapotranspiration, and the water storage variation are higher than in the southern region. Results demonstrated that remote sensing data can help in the comprehension of hydrological systems operation, especially in large wetland regions.

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“…1A). O clima local é classificado como Aw, segundo Köppen, com temperatura e precipitação média anual entre 22 e 25°C e 1335 mm, respectivamente, com período chuvoso entre outubro e abril e período seco entre maio e setembro (Marcuzzo & Melo, 2011;Machado et al, 2016). O solo da área de estudo é LATOSSOLO vermelho-amarelo distrófico, rochoso (Biudes et al, 2009;.…”

Section: áRea Experimentalunclassified

“…Os valores de d variam entre 0 e 1 indicando não concordância e concordância perfeita, respectivamente. Analogamente os valores do r variam de 0 a 1, indicando nenhuma correlação ou correlação perfeita, respectivamente (Machado et al, 2016).…”

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“…Muitas espécies de vegetação do Cerrado perdem quase toda a sua folhagem no período seco, refletindo diretamente nos valores dos índices de vegetação, α, T s e consequentemente no Rn superficial (Danelichen et al, 2014). Além disso, muitas áreas do sul do Cerrado matogrossense são inundadas no período chuvoso, devido à baixa drenagem do solo, modelando a distribuição de espécies na região (Martins et al, 2015;Machado et al, 2016).…”

Section: Introductionunclassified

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Parâmetros Biofísicos de Diferentes Tipos de Cobertura do Solo em uma área de Cerrado no Sul de Mato Grosso

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Biudes

Machado

et al. 2020

Rev. bras. meteorol.

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Resumo O Cerrado apresenta uma variedade de fitofisionomias, com características distintas em estrutura e distribuição, o que contribui para uma heterogeneidade na interação da radiação solar com a superfície. Dessa forma, o objetivo desse estudo foi avaliar a variabilidade espacial e temporal de parâmetros biofísicos em diferentes tipos de cobertura do solo de uma área de Cerrado no sul do estado de Mato Grosso por sensoriamento remoto. Os parâmetros biofísicos índice de vegetação da diferença normalizada (NDVI), o albedo, temperatura da superfície e o saldo de radiação foram obtidos nas fitofisionomias do Cerrado: Campo Limpo, Campo Sujo, Cerradão e Cerrado stricto sensu; e numa área de pastagem. As estimativas foram realizadas com imagens do sensor TM Landsat 5, em 2009, 2010 e 2011. No período chuvoso, o NDVI e o saldo de radiação foram 44% e 15% maiores e o albedo e a temperatura da superfície foram 18% e 12% menores que no seco, respectivamente. Nos locais com maior NDVI e maior saldo de radiação foram encontrados os menores albedo e temperatura da superfície. As diferentes fitofisionomias do Cerrado tiveram interação distinta com a radiação solar em escalas sazonal e espacial devido à variação da cobertura da vegetação e disponibilidade hídrica.

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Sazonalidade do Balanço de Energia e Evapotranspiração em Área Arbustiva Alagável no Pantanal Mato-Grossense

Cited by 8 publications

References 38 publications

Green Roof: Simulation of Energy Balance Components in Recife, Pernambuco State, Brazil

Green Roof: Simulation of Energy Balance Components in Recife, Pernambuco State, Brazil

Remote Sensing of Water Balance in Pantanal

Parâmetros Biofísicos de Diferentes Tipos de Cobertura do Solo em uma área de Cerrado no Sul de Mato Grosso

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