Results 251 to 260 of about 1,973,931 (283)

Spatial variation in liquefaction risk

Géotechnique, 1998
Basic concepts and methods of random field theory, useful for characterizing 'distributed disordered systems', are applied to a soil deposit to evaluate the spatial extent of liquefaction under typical conditions. The soil deposit, modelled after a site located at the Wildlife Management Area in California, is represented by a three-dimensional random
G. A. Fenton, E. H. Vanmarcke
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Spatial Variational Principles in Continuum Mechanics

Archive for Rational Mechanics and Analysis, 1984
In this paper the author proposes a correction of the original variational principle of \textit{J. W. Herivel} [Proc. Camb. Philos. Soc. 51, 344-349 (1955; Zbl 0068.188)] taking into account the constraint expressing the conservation of the identity of the particle. The thermodynamic considerations are left out and only simplest boundary conditions are
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Spatial and Temporal Indoor Radon Variations

Health Physics, 1992
This paper examines the ability of standard radon measurement protocols to predict long-term radon concentrations in houses located in the upper Midwest. It was observed that: (1) significant radon variations can occur on a spatial scale as small as a single floor; (2) radon measurements that integrate for periods less than 3 mo are reliable only to ...
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Classical Spatial Variation Models

2009
Men have tried to model spatial behavior of the natural phenomena since a long time, with initiative simple models such as the weighting functions, which are supposed to represent regional dependence structure of the phenomenon concerned. Unfortunately, commonly employed weighting functions are not actually data-dependent and hence they are applicable ...
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Ionospheric Spatial and Temporal Variations

2013
It was obvious from the time of its discovery that the Earth’s ionosphere is highly variable in space and time. Its morphology affects propagation via the ionosphere and is characterized by geographical and geomagnetic variations on one hand, and daily, seasonal and solar cycle variations on the other.
Bruno Zolesi, Ljiljana R. Cander
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Dealing with Spatial Variation

1993
Linear geostatistics can provide, by kriging from soil and environmental data, local estimates that are unbiased and have minimum and known variance, and are in this sense optimal. The procedure assumes a model, usually that the variables are realizations of random processes and intrinsic sensu Matheron.
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Spatial Variation.

The Statistician, 1988
C. D. Kemp, Bertil Matern
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Spatial Variation.

Journal of the American Statistical Association, 1962
Donald M. Roberts, Bertil Matern
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Spatial Variations in Atmospheric Predictability

Journal of the Atmospheric Sciences, 1972
Abstract Calculations are made with the NCAR six-layer general circulation model to determine the time evolution of errors initially confined to a region 4000 km in diameter superimposed upon real global data. Three experiments are made to distinguish between the effects of an error located initially on the northern or southern sides of the jet stream ...
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Variational Analysis Using Spatial Filters

Monthly Weather Review, 2000
In this paper the standard variational analysis scheme is modified, through a simple transform, to avoid the inversion of the background error covariance matrix. A close inspection of the modified scheme reveals that it is possible to use a filter to replace the multiplication of the covariance matrix.
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