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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
22/11/2002 |
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Data da última atualização: |
22/11/2002 |
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Autoria: |
GOMEZ HERNANDEZ, J. J. |
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Título: |
A stochastic approach to the simulation of block conductivity fields conditioned upon data measured at a smaller scale. |
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Ano de publicação: |
1991 |
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Fonte/Imprenta: |
Stanford: University of California-Department of Earth Sciences, 1991. |
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Páginas: |
351p. |
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Idioma: |
Inglês |
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Notas: |
Ph.D.Thesis |
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Conteúdo: |
Two methods are proposed fo the direct generation of block conductivities condinoned upon data measured at a smailer scale. These methods allow Monte-Carlo analyses of aquifer response variables up to 125 times faster than more traditional methods that do not directly generate block conductivities. The first method is analytical and is limited to two dimensional spaces with small, isotropic variability of the logarithms of hydraulic conductivity and uniform how in unbounded aquifers. The second method is numerical and is not restricted by the previous conditions although it is limited to a finite-difference formulation of the groundwater flow equation with blocks of a single size. Both methods call for efficient stochastic conditional simulation algorithms and for accurate methods to scale-up hydraulic conductivities. Regarding conditional simulations, the novel sequential simulation algorithm was fully implemented for the first time for the generation of both Gaussian and non-Gaussian random fields, with direct conditioning to local data. This algorithm was also applied for the first time to the co-simulation of several variable with a joint Gaussian multivariate distribution. Regarding the scaling-up problem, two approaches are proposed an analytical one under the same aforementioned assumptions and a numerical one not limited by these assumptions. The methodology proposed is applied to a Monte-Carlo analysis of flows in a synthetic aquifer. The results are compared to a reference Monte-Carlo analysis implemented at the smallest scale. In addition these results are compared with those obtained from the more traditional approach consisting of generating conductivity fields as the small-cale and then scaling-up each block using a within-block flow simulation. The reproduction of the results obtained from the reference analysis at the smallest scale is shown to be good with the proposed technique being faster CPU wise than either the refence analysis or the traditional methods. MenosTwo methods are proposed fo the direct generation of block conductivities condinoned upon data measured at a smailer scale. These methods allow Monte-Carlo analyses of aquifer response variables up to 125 times faster than more traditional methods that do not directly generate block conductivities. The first method is analytical and is limited to two dimensional spaces with small, isotropic variability of the logarithms of hydraulic conductivity and uniform how in unbounded aquifers. The second method is numerical and is not restricted by the previous conditions although it is limited to a finite-difference formulation of the groundwater flow equation with blocks of a single size. Both methods call for efficient stochastic conditional simulation algorithms and for accurate methods to scale-up hydraulic conductivities. Regarding conditional simulations, the novel sequential simulation algorithm was fully implemented for the first time for the generation of both Gaussian and non-Gaussian random fields, with direct conditioning to local data. This algorithm was also applied for the first time to the co-simulation of several variable with a joint Gaussian multivariate distribution. Regarding the scaling-up problem, two approaches are proposed an analytical one under the same aforementioned assumptions and a numerical one not limited by these assumptions. The methodology proposed is applied to a Monte-Carlo analysis of flows in a synthetic aquifer. The results are compared to a r... Mostrar Tudo |
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Categoria do assunto: |
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Marc: |
LEADER 02461nam a2200133 a 4500
001 1334637
005 2002-11-22
008 1991 bl uuuu m 00u1 u #d
100 1 $aGOMEZ HERNANDEZ, J. J.
245 $aA stochastic approach to the simulation of block conductivity fields conditioned upon data measured at a smaller scale.
260 $aStanford: University of California-Department of Earth Sciences$c1991
300 $a351p.
500 $aPh.D.Thesis
520 $aTwo methods are proposed fo the direct generation of block conductivities condinoned upon data measured at a smailer scale. These methods allow Monte-Carlo analyses of aquifer response variables up to 125 times faster than more traditional methods that do not directly generate block conductivities. The first method is analytical and is limited to two dimensional spaces with small, isotropic variability of the logarithms of hydraulic conductivity and uniform how in unbounded aquifers. The second method is numerical and is not restricted by the previous conditions although it is limited to a finite-difference formulation of the groundwater flow equation with blocks of a single size. Both methods call for efficient stochastic conditional simulation algorithms and for accurate methods to scale-up hydraulic conductivities. Regarding conditional simulations, the novel sequential simulation algorithm was fully implemented for the first time for the generation of both Gaussian and non-Gaussian random fields, with direct conditioning to local data. This algorithm was also applied for the first time to the co-simulation of several variable with a joint Gaussian multivariate distribution. Regarding the scaling-up problem, two approaches are proposed an analytical one under the same aforementioned assumptions and a numerical one not limited by these assumptions. The methodology proposed is applied to a Monte-Carlo analysis of flows in a synthetic aquifer. The results are compared to a reference Monte-Carlo analysis implemented at the smallest scale. In addition these results are compared with those obtained from the more traditional approach consisting of generating conductivity fields as the small-cale and then scaling-up each block using a within-block flow simulation. The reproduction of the results obtained from the reference analysis at the smallest scale is shown to be good with the proposed technique being faster CPU wise than either the refence analysis or the traditional methods.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
22/02/2016 |
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Data da última atualização: |
03/05/2024 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COSTA, J. da A.; DIAS, R. de C. S.; SILVA, J. R.; BARROS, A. T. S.; FERREIRA, J. L. R. |
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Afiliação: |
JACQUELINE DA ALELUIA COSTA, UNIVERSIDADE ESTADUAL DE FEIRA DE SANTANA; RITA DE CASSIA SOUZA DIAS, CPATSA; JOYCE REIS SILVA, UNIVERSIDADE FEDERAL RURAL DO SEM-ÀRIDO; ANNE THAÍS SILVA BARROS, UNIVERSIDADE ESTADUAL DE PERNAMBUCO; JÉSSICA LETÍCIA RODRIGUES FERREIRA, UNIVERSIDADE ESTADUAL DE PERNAMBUCO. |
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Título: |
Avaliação de genótipos de melão quanto à resistência ao oídio. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO DA REDE DE RECURSOS GENÉTICOS VEGETAIS DO NORDESTE, 2., 2015, Fortaleza. Valorização e uso da plantas Caatinga. Fortaleza: Embrapa Agroindústria Tropical: Universidade Federal do Ceará, 2015. |
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Idioma: |
Português |
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Conteúdo: |
O objetivo desse trabalho foi avaliar genótipos experimentais de melão, desenvolvidos pela Embrapa Semiárido, quanto à resistência ao oídio, sob condições de infecção natural em Petrolina, PE. |
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Palavras-Chave: |
Melhoramento genético; Melon; Podosphaera xanthii; Resistência ao oídio. |
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Thesagro: |
Cucumis Melo; Doença; Genótipo; Melão. |
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Thesaurus NAL: |
Genotype; Melons. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/139743/1/Rita-2015.pdf
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Marc: |
LEADER 01125nam a2200277 a 4500
001 2038027
005 2024-05-03
008 2015 bl uuuu u00u1 u #d
100 1 $aCOSTA, J. da A.
245 $aAvaliação de genótipos de melão quanto à resistência ao oídio.$h[electronic resource]
260 $aIn: SIMPÓSIO DA REDE DE RECURSOS GENÉTICOS VEGETAIS DO NORDESTE, 2., 2015, Fortaleza. Valorização e uso da plantas Caatinga. Fortaleza: Embrapa Agroindústria Tropical: Universidade Federal do Ceará$c2015
520 $aO objetivo desse trabalho foi avaliar genótipos experimentais de melão, desenvolvidos pela Embrapa Semiárido, quanto à resistência ao oídio, sob condições de infecção natural em Petrolina, PE.
650 $aGenotype
650 $aMelons
650 $aCucumis Melo
650 $aDoença
650 $aGenótipo
650 $aMelão
653 $aMelhoramento genético
653 $aMelon
653 $aPodosphaera xanthii
653 $aResistência ao oídio
700 1 $aDIAS, R. de C. S.
700 1 $aSILVA, J. R.
700 1 $aBARROS, A. T. S.
700 1 $aFERREIRA, J. L. R.
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