scholarly journals STUDY ON SPATIAL CORRELATION STRUCTURE OF EARTHQUAKE GROUND MOTION USING SEISMOGRAPHIC DENSE ARRAY DATA

1996 ◽  
Vol 61 (490) ◽  
pp. 55-63 ◽  
Author(s):  
Koshiro EN
Keyword(s):  
Spatial Correlation ◽  
Ground Motion ◽  
Correlation Structure ◽  
Earthquake Ground Motion ◽  
Dense Array ◽  
Array Data ◽  
Spatial Correlation Structure

scholarly journals Assessment of the uncertainty in spatial-correlation models for earthquake ground motion due to station layout and derivation method

2021 ◽  
Author(s):  
Erika Schiappapietra ◽  
John Douglas
Keyword(s):  
Maximum Likelihood ◽  
Least Squares ◽  
Spatial Correlation ◽  
Ground Motion ◽  
Weighted Least Squares ◽  
Correlation Structure ◽  
Estimation Methods ◽  
Lower Percentage ◽  
Earthquake Ground Motion ◽  
Spatial Correlation Structure

AbstractThe evaluation of the aggregate risks to spatially distributed infrastructures and portfolios of buildings requires quantification of the estimated shaking over a region. To characterize the spatial dependency of ground motion intensity measures (e.g. peak ground acceleration), a common geostatistical tool is the semivariogram. Over the past decades, different fitting approaches have been proposed in the geostatistics literature to fit semivariograms and thus characterize the correlation structure. A theoretically optimal approach has not yet been identified, as it depends on the number of observations and configuration layout. In this article, we investigate estimation methods based on the likelihood function, which, in contrast to classical least-squares methods, straightforwardly define the correlation without needing further steps, such as computing the experimental semivariogram. Our outcomes suggest that maximum-likelihood based approaches may outperform least-squares methods. Indeed, the former provides correlation estimates, that do not depend on the bin size, unlike ordinary and weighted least-squares regressions. In addition, maximum-likelihood methods lead to lower percentage errors and dispersion, independently of both the number of stations and their layout as well as of the underlying spatial correlation structure. Finally, we propose some guidelines to account for spatial correlation uncertainty within seismic hazard and risk assessments. The consideration of such dispersion in regional assessments could lead to more realistic estimations of both the ground motion and corresponding losses.

Sky-Cover Correlation within a Sky Dome

1991 ◽  
Vol 30 (7) ◽  
pp. 1037-1039 ◽  
Author(s):  
James H. Willand ◽  
Julia Steeves
Keyword(s):  
Spatial Correlation ◽  
Cloud Cover ◽  
Correlation Structure ◽  
National Weather Service ◽  
Structural Pattern ◽  
The Earth ◽  
Spatial Correlation Structure ◽  
Sky Conditions ◽  
Very High ◽  
Weather Service

Abstract A new utility for the use of whole-sky photographs has been developed through an effort to discern the structural pattern of correlations of cloud cover within an observer's sky dome. The photographs were taken from the National Weather Service observing site at Columbia, Missouri, and were originally assembled for the purpose of estimating probabilities of cloud-free lines of sight from the earth through the atmosphere. The procedure for determining the spatial correlation structure of sky cover within the sky dome starts with the defining and tabulating of a dichotomous sky-cover condition over small sectors of the sky dome, and then calculating the correlation associated with the tabulated sky conditions in each sector. This note shows that correlation of sky-cover conditions over a sky dome are very high, and that they are less degrading in the winter than in the summer. The results of this study can be applied to the estimation of cloud-free lines of sight to multiple satellites.

On the design of a dense array to extract rotational components of earthquake ground motion

2016 ◽  
Vol 15 (3) ◽  
pp. 827-860 ◽  
Author(s):  
Dhiman Basu ◽  
Andrew S. Whittaker ◽  
Michael C. Constantinou
Keyword(s):  
Ground Motion ◽  
Earthquake Ground Motion ◽  
Dense Array ◽  
Rotational Components

Correction to “Determination of anisotropy of spatial correlation structure in a three-dimensional permeability field accompanied by shallow faults” by Shinji Nakaya et al.

2002 ◽  
Vol 38 (11) ◽  
pp. 11-1-11-2
Author(s):  
Shinji Nakaya ◽  
Taiyoh Yohmei ◽  
Akihisa Koike ◽  
Tetsuhiro Hirayama ◽  
Toshiaki Yoden ◽  
...  
Keyword(s):  
Spatial Correlation ◽  
Three Dimensional ◽  
Correlation Structure ◽  
Spatial Correlation Structure ◽  
Permeability Field

scholarly journals SPATIAL CORRELATION STRUCTURE OF PRECIPITATION

2002 ◽  
Vol 46 ◽  
pp. 127-132 ◽  
Author(s):  
Yasuhisa KUZUHA ◽  
Kunio TOMOSUGI ◽  
Tokuo KISHII
Keyword(s):  
Spatial Correlation ◽  
Correlation Structure ◽  
Spatial Correlation Structure
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