Cálculo do Volume e Análise da Deposição de Sedimentos do Reservatório de Três Irmãos

Albertin, Liliane Lazzari; Matos, Artur José Soares; Mauad, Frederico Fábio

doi:10.21168/rbrh.v15n4.p57-67

Cited by 7 publications

(7 citation statements)

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“…Albertin et al (2010) found a 14% reduction of reservoir capacity in 36 years. According to this author, from the moment that the accumulated sediments meet the threshold of the water intake, there are no more conditions for the proper operation of the reservoir, meaning that this is the end of its useful life.…”

Section: Resultsmentioning

confidence: 98%

“…Due to the reduction of water flow and the enlargement of the cross section, reservoirs are eventually subjected to conditions that favor the sedimentation of solid materials carried by the watercourse or arising by runoff from the basin (ALBERTIN et al, 2010). The lack of vegetation in the basin intensifies the silting process.…”

Section: Introductionmentioning

confidence: 99%

“…Besides reducing the capacity of the reservoir, Albertin et al (2010) call attention to operational problems related to sedimentation, such as abrasion components; pipes, turbine blades; mechanical problems to the gates; reduction in water capture efficiency; drowning of spawning, feeding and shelter space for fish; formation of sandbars that decrease the draft for navigation, and above all, the safety of the dam.…”

Section: Introductionmentioning

confidence: 99%

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Estimates of Volume and Sedimentation of the Reservoir of the Itacarambi River Dam, Minas Gerais, Brazil

Almeida¹,

Figueiredo²,

Oliveira³

2016

NATIVA

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ABSTRACT:The dam of the Itacarambi River, located in São João das Missões, MG, Brazil, is a hydraulic containment created by CODEVASF in 1988 to regulate the flow and perpetuation of the river, water storage for human and animal supply, irrigation and fish farming. At the beginning of its operation, the reservoir had a volumetric capacity of 7,388 hm 3 in an area of 100 ha. The aim of this study was to conduct a bathymetric survey for production of a bathymetric chart and calculation of morphometric parameters. The data collected showed that the Itacarambi river reservoir dam had constant irregularities in its bottom, forming submerged sandbanks, which may be a reflection of silting over the years. A volume of 5.75 hm 3 , that is, 20% of its original capacity, was predicted to be lost in the area occupied by the dam (100 ha). The estimated sedimentation rate was 62,347.8 m 3 year -1 and the lifetime of the reservoir was 115 years since the beginning of operation.Keywords: dam, bathymetric survey, morphometric characteristics.Estimativas do volume e assoreamento do reservatório da barragem do Rio Itacarambi, Minas Gerais RESUMO: A barragem do rio Itacarambi, situada em São João das Missões, MG, é uma contenção hidráulica criada pela CODEVASF em 1988 para regularização da vazão e perenização do rio Itacarambi, armazenamento de água, abastecimento humano e animal, irrigação e piscicultura. No início do seu funcionamento o reservatório da barragem possuía 7,388 hm 3 de capacidade volumétrica em área de 100 ha. O objetivo deste trabalho foi realizar um levantamento batimétrico que possibilitou a confecção de carta batimétrica e cálculo de parâmetros morfométricos. A partir dos dados levantados, o reservatório da barragem do rio Itacarambi apresentou constantes irregularidades no seu fundo, com formação de bancos de areia submersos, que podem ser reflexo do assoreamento ao longo dos anos. Na área ocupada pela barragem (100 ha) foi predito um volume equivalente a 5,75 hm

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimates of Volume and Sedimentation of the Reservoir of the Itacarambi River Dam, Minas Gerais, Brazil

Almeida¹,

Figueiredo²,

Oliveira³

2016

NATIVA

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“…Nevertheless, coordinate transformation is not a common automatic feature for Geographic Information Systems (GIS), requiring some programming efforts that may not always be feasible. Hence, although sophisticated geostatisical techniques have been developed for interpolating bathymetric data (Legleiter; Kyriakidis, 2008;Merwade;Cook;Coonrod, 2008;Merwade, 2009), such techniques require a high level of user experience, and some users still rely on mechanical spatial prediction methods (Albertin et al, 2010;Miranda;Scarpinela;Mauad, 2013). Such methods, although simple and flexible, can be considered subjective and empirical, and provide no intrinsic estimation of the model error (Hengl, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, auxiliary maps with spatially exhaustive information are used to improve the predictions based on point observations of the target variable Rossiter, 2007). Hybrid kriging methods have been widely used in several environmental sciences, such as topographic modeling (Hengl et al, 2008), soil science (Odeh;McBratney;Chittleborough, 2006;Zhu;Lin;2010;Watt;Palmer, 2012;Qi-Yong et al, 2014), meteorology (Joyner et al, 2015) and marine sedimentology (Jerosch, 2013).…”

Section: Introductionmentioning

confidence: 99%

Hybrid kriging methods for interpolating sparse river bathymetry point data

et al. 2017

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Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points. River bathymetry is usually surveyed through cross-sections, which may lead to a sparse sampling pattern. Hybrid kriging methods, such as regression kriging (RK) and co-kriging (CK) employ the correlation with auxiliary predictors, as well as inter-variable correlation, to improve the predictions of the target variable. In this study, we use the orthogonal distance of a (x, y) point to the river centerline as a covariate for RK and CK. Given that riverbed elevation variability is abrupt transversely to the flow direction, it is expected that the greater the Euclidean distance of a point to the thalweg, the greater the bed elevation will be. The aim of this study was to evaluate if the use of the proposed covariate improves the spatial prediction of riverbed topography. In order to asses such premise, we perform an external validation. Transversal cross-sections are used to make the spatial predictions, and the point data surveyed between sections are used for testing. We compare the results from CK and RK to the ones obtained from ordinary kriging (OK). The validation indicates that RK yields the lowest RMSE among the interpolators. RK predictions represent the thalweg between cross-sections, whereas the other methods under-predict the river thalweg depth. Therefore, we conclude that RK provides a simple approach for enhancing the quality of the spatial prediction from sparse bathymetry data. Termos para indexação:Geoestatística; predição espacial; krigagem por regressão; morfologia fluvial. LEGLEITER, C. J.; KYRIAKIDIS, P. C. Spatial prediction of river channel topography by kriging. Earth Surface Processes and Landforms, 867:841-867, 2008. LOPES, H. L.; NETO, A. R.; CIRILO, J. A. Modelagem batimétrica no reservatório de Sobradinho: I -geração e avaliação de superfícies batimétricas utilizando interpoladores espaciais. Revista Brasileira de Cartografia, 65:907-922, 2013. MERWADE, V. Effect of spatial trends on interpolation of river bathymetry. Journal of Hydrology, 371:169-181, 2009. MERWADE, V.; COOK, A.; COONROD, J. GIS techniques for creating river terrain models for hydrodynamic modeling and flood inundation mapping. Environmental Modelling & Software, 23:1300-1311, 2008. MERWADE, V. M.; MAIDMENT, D. R.; GOFF, J. A. Anisotropic considerations while interpolating river channel bathymetry. Journal of Hydrology, 331:731-741, 2006. MERWADE, V. M.; MAIDMENT, D. R.; HODGES, B. R. Geospatial representation of river channels. Journal of Hydrologic Engineering, 10:243-251, 2005. MIRANDA, R. B.; SCARPINELA, G. A.; MAUAD, F. F. Influência do assoreamento na capacidade de armazenamento do reservatório da usina hidrelétrica de Três Irmãos (SP/BRASIL). Revista Brasileira de Recursos Hídricos, 34:69-79, 2013. ODEH, I. O. A.; MCBRATNEY, A. B.; CHITTLEBOROUGH, D. J. Spatial prediction of soil prop...

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Sedimentation Modeling of Karnali Chisapani Multipurpose Project Reservoir, Nepal

Regmi

2021

J. Inst. Eng. India Ser. A

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Cálculo do Volume e Análise da Deposição de Sedimentos do Reservatório de Três Irmãos

Cited by 7 publications

References 0 publications

Estimates of Volume and Sedimentation of the Reservoir of the Itacarambi River Dam, Minas Gerais, Brazil

Estimates of Volume and Sedimentation of the Reservoir of the Itacarambi River Dam, Minas Gerais, Brazil

Hybrid kriging methods for interpolating sparse river bathymetry point data

Sedimentation Modeling of Karnali Chisapani Multipurpose Project Reservoir, Nepal

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