Estimativa de recarga da bacia do Rio das Fêmeas através de métodos manuais e automáticos

Albuquerque, Ana C. L. S.; Chaves, Henrique Marinho Leite

doi:10.1590/s1415-43662011001100003

Cited by 8 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They are, however, smaller than the estimates by Pimentel et al (2000) of 257.02 mm/year of recharge, 20% of the average rainfall, calculated with the hydrograph separation method for the period 1984–1995 in the Fêmeas river basin, one of the main tributaries of the Rio Grande. Albuquerque (2009) estimated, also in the Fêmeas river basin, a recharge of 256.53 mm/year, corresponding to 22.87% of the average precipitation, by the automatic method of Rutledge & Daniel (1994), for the 1977–2007 interval. All these estimates are quantitatively similar to each other, despite being carried out with different methods.…”

Section: Resultsmentioning

confidence: 99%

Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil

Pereira

Dereczynski

Silva

et al. 2022

Intl Journal of Climatology

View full text Add to dashboard Cite

In this work we analyse the effects of climate change on the recharge and the groundwater flow of the Urucuia Aquifer System in western Bahia State, Brazil (UAS-BA) in the period 2041-2060. We assessed possible changes and impacts on groundwater recharge with four climate models from the sixth phase of the Coupled Model Intercomparison Project Phase 6 (CMIP6): ACCESS-ESM1-5, CanESM5, EC-Earth3 and MIROC6, under scenarios SSP1-2.6 and SSP5-8.5 (Shared Socioeconomic Pathways-SSP). Visual Balan 2.0 aquifer recharge assessment code, and the MODFLOW hydrogeological model were used to analyse the impact of future climate changes on the recharge. The projections of relative change in precipitation, under the SSP1-2.6 scenario, show a precipitation reduction between 5% and 20%, using ACCESS-ESM1-5, CanESM5 and EC-Earth3 models. Using SSP5-8.5 scenario, these models behave differently, while the CanESM5 and EC-Earth3 models indicate an even greater decrease in precipitation, with values up to 35%, the ACCESS-ESM1-5 projects an increase in precipitation of up to 25%. Using MIROC6, though, an increase of up to 10% in precipitation in the UAS-BA is expected, under both scenarios. Regarding temperature, all the models agree with a warming in the future varying from 2 to 3 C. Recharge projections calculated using the Visual Balan 2.0 indicated in general a reduction between 8% and 43%. Using the MODFLOW model, the results show a reduction of recharge to the aquifer varying from 3% to 45% using CanESM5, EC-Earth3 and MIROC6. The ACCESS-ESM1-5 has a 26% reduction (5% increase) under SSP1-2.6 (SSP5-8.5). Furthermore, projections indicate a downward trend in the water table in the northern portion of UAS-BA, reaching a maximum drop of up to 12 m with the CanESM5, under SSP5-8.5 scenario.

show abstract

Section: Resultsmentioning

confidence: 99%

Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil

Pereira

Dereczynski

Silva

et al. 2022

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…The high upper limit of the recharge rates obtained in Oliveira et al [62] is because the soil in your study area is a highly permeable sandy Quartzarenic Neosol. Thus, the regionalization of the recharge rates proposed by the abacus would only be possible if the study basin has at least the three predominant classes of soil in the Capão Comprido basin-Red Ferrasol, Red-yellow Ferrasol and Cambisols-as occurs in Gaspar [59], Albuquerque and Chaves [60], Cunha [61], ANA [64], Gonçalves and Manzione [7], and Cambraia-Neto and Rodrigues [8].…”

Section: Resultsmentioning

confidence: 99%

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

Santos

Koide

Távora

et al. 2020

Water

View full text Add to dashboard Cite

One of the first steps to implement a policy for groundwater resources management is knowing the groundwater recharge. However, the unavailability of data and resources to execute field studies increase the uncertainty associated with the estimation of groundwater recharge. To fill this gap, the present work aimed to propose a method to predict groundwater recharge at non-instrumented hydrographic basins. The approach proposed is based on using an abacus to execute the transposition and/or regionalization of results generated in an experimental basin. The methodology comprised the estimation and mapping of recharge rates in the experimental basin using three distinct approaches—numerical modelling of the saturated zone, distributed hydrological modelling of the vadose zone, and the method of fluctuation of the water table elevation—and the following generation of the abacus, with average recharge values for combinations of soil class, land use/cover and slope using geographic information systems. The results indicate that the abacus is consistent for some Ferrasol areas, that the reliability of average regionalized values depends on the complexity of the physical environment—soil class, land use/cover, and slope—and that new studies, focusing on the hydro-physical characterization of soils, might produce more reliable estimations.

show abstract

“…O município de São Desidério está situado entre as coordenadas 46°19'29'' e 44°34'32''W e 12°17'20'' e 13°20'55''S, no extremo Oeste Baiano. Pela classificação climática de Köppen, o clima é do tipo Aw, tropical com chuvas de verão, com índices de pluviosidade atingindo 1.700mm/ano, com temperatura anual entre 17 e 37°C e as estações definidas entre maio e setembro (seca) e outubro a abril (chuvosa) (ALBUQUERQUE, 2009;BATISTELLA et al 2002).…”

Section: Methodsunclassified

Distribuição Espacial da Chuva em Fazendas de Soja e Algodão no Extremo Oeste da Bahia

Bittencourt¹,

Mantovani²,

Sediyama³

et al. 2013

Anais Do III Simpósio De Geoestatística Aplicada Em Ciências Agrárias

View full text Add to dashboard Cite

I II II I SSi im mp pó ós si io o d de e G Ge eo oe es st ta at tí ís st ti ic ca a A Ap pl li ic ca ad da a e em m C Ci iê ên nc ci ia as s A Ag gr rá ár ri ia as s 0 08 8 a a 1 10 0 d de e m ma ai io o d de e 2 20 01 13 Spatial distribution of rainfall in soybean and cotton farms in the far west of BahiaAbstract -In counties São Desidério and Correntina pluviographs were disposed during the 2008-2009 and 2009-2010 crops to monitor the daily volumes of rainfall. Consider the wettest quarter, December, January and February, we performed the modeling of the total rainfall. To perform the modeling of rainfall were adopted statistical techniques that consisted in a detection of outliers, modeling of spatial dependence, cross validation and construction of the rainfall distribution map through ordinary kriging. Was detected different spatial behavior for both crops, as were also observed different dispersion values for volumes of quarterly total rainfall. The rainfall excess for the month of January in the 2008-2009 had higher peaks than in , in the same month, the temporal distribution of precipitation was more homogeneous.Key words: West of Bahia; geostatistics; kriging. IntroduçãoSão Desidério e Correntina são dois municípios do estado da Bahia que se destacam pela área utilizada para a produção de grãos (SANO et al., 2011). A grande disponibilidade de terras com topografia ideal para a mecanização, índice pluviométrico ideal e a alta tecnologia utilizada garantem a boa produtividade. O município de São Deisdério, segundo o IBGE (2010), é o maior produtor de algodão herbáceo do Brasil, sendo o responsável por 15,7% da produção brasileira e 46,5% da produção baiana. A produção de soja, na safra de 2010, apresentou crescimento de 26,0%, representando cerca de 738.990 toneladas desse grão.No Oeste da Bahia, o período de maior volume de chuva corresponde, segundo Tanajura et al. (2010), ao trimestre dezembro-janeiro-fevereiro (DJF). O máximo neste trimestre chega a 700 mm. O pico de chuva está associado à ZCAS e com vestígios de frentes frias que penetram em baixas latitudes.A chuva é um elemento climático fundamental para as plantas, sendo essencial para o crescimento, desempenhando um papel importante na fotossíntese e, portanto, na produção. Segundo Doorenbos e Kassan (1994) se o suprimento de água atende em sua totalidade às necessidades hídricas da cultura, a produtividade dependerá, principalmente, das características genéticas da planta e do grau de adaptação ao ambiente. Portanto, considerando os demais elementos responsáveis pela produção como fixos e em nível ótimo, a produtividade depende exclusivamente da água.Segundo Mantovani et al. (2009), a chuva é um elemento climático que pode variar espacialmente, e, dependendo da área plantada, é necessária a adoção de manejo diferenciado com o objetivo de atender às

show abstract

Estimativa de recarga da bacia do Rio das Fêmeas através de métodos manuais e automáticos

Cited by 8 publications

References 14 publications

Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil

Projected climate change impacts on groundwater recharge in the Urucuia aquifer system, Brazil

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

Distribuição Espacial da Chuva em Fazendas de Soja e Algodão no Extremo Oeste da Bahia

Contact Info

Product

Resources

About