Adaptive Kernel Estimation and Continuous Probability Representation of Historical Earthquake Catalogs

2002 ◽  
Vol 92 (3) ◽  
pp. 904-912 ◽  
Author(s):  
C. Stock
Keyword(s):  
Kernel Estimation ◽  
Historical Earthquake ◽  
Probability Representation ◽  
Earthquake Catalogs ◽  
Adaptive Kernel

scholarly journals A Consistent Geological-Seismological Model For Earthquake Occurrence in New Zealand

2021 ◽  
Author(s):  
◽  
Christian Stock
Keyword(s):  
New Zealand ◽  
Active Faults ◽  
Kernel Estimation ◽  
Fault Model ◽  
Strike Slip ◽  
Historical Earthquake ◽  
Earthquake Occurrence ◽  
Model Based ◽  
Adaptive Kernel ◽  
Dynamic Stochastic

<p>For the development of earthquake occurrence models, historical earthquake catalogues and compilations of mapped, active faults are often used. The goal of this study is to develop new methodologies for the generation of an earthquake occurrence model for New Zealand that is consistent with both data sets. For the construction of a seismological earthquake occurrence model based on the historical earthquake record, 'adaptive kernel estimation' has been used in this study. Based on this method a technique has been introduced to filter temporal sequences (e.g. aftershocks). Finally, a test has been developed for comparing different earthquake occurrence models. It has been found that the adaptive kernel estimation with temporal sequence filtering gives the best joint fit between the earthquake catalogue and the earthquake occurrence model, and between two earthquake occurrence models obtained from data from two independent time intervals. For the development of a geological earthquake occurrence model based on fault information, earthquake source relationships (i.e. rupture length versus rupture width scaling) have been revised. It has been found that large dip-slip and strike-slip earthquakes scale differently. Using these source relationships a dynamic stochastic fault model has been introduced. Whereas earthquake hazard studies often do not allow individual fault segments to produce compound ruptures, this model allows the linking of fault segments by chance. The moment release of simulated fault ruptures has been compared with the theoretical deformation along the plate boundary. When comparing the seismological and the geological earthquake occurrence model, it has been found that a 'good' occurrence model for large dip-slip earthquakes is given by the seismological occurrence model using the Gutenberg-Richter magnitude frequency distribution. In contrast, regions dominated by long strike-slip faults produce large earthquakes but not many small earthquakes and the occurrence of earthquakes on such faults should be inferred from the dynamic fault model.</p>

scholarly journals A Consistent Geological-Seismological Model For Earthquake Occurrence in New Zealand

2021 ◽  
Author(s):  
◽  
Christian Stock
Keyword(s):  
New Zealand ◽  
Active Faults ◽  
Kernel Estimation ◽  
Fault Model ◽  
Strike Slip ◽  
Historical Earthquake ◽  
Earthquake Occurrence ◽  
Model Based ◽  
Adaptive Kernel ◽  
Dynamic Stochastic

<p>For the development of earthquake occurrence models, historical earthquake catalogues and compilations of mapped, active faults are often used. The goal of this study is to develop new methodologies for the generation of an earthquake occurrence model for New Zealand that is consistent with both data sets. For the construction of a seismological earthquake occurrence model based on the historical earthquake record, 'adaptive kernel estimation' has been used in this study. Based on this method a technique has been introduced to filter temporal sequences (e.g. aftershocks). Finally, a test has been developed for comparing different earthquake occurrence models. It has been found that the adaptive kernel estimation with temporal sequence filtering gives the best joint fit between the earthquake catalogue and the earthquake occurrence model, and between two earthquake occurrence models obtained from data from two independent time intervals. For the development of a geological earthquake occurrence model based on fault information, earthquake source relationships (i.e. rupture length versus rupture width scaling) have been revised. It has been found that large dip-slip and strike-slip earthquakes scale differently. Using these source relationships a dynamic stochastic fault model has been introduced. Whereas earthquake hazard studies often do not allow individual fault segments to produce compound ruptures, this model allows the linking of fault segments by chance. The moment release of simulated fault ruptures has been compared with the theoretical deformation along the plate boundary. When comparing the seismological and the geological earthquake occurrence model, it has been found that a 'good' occurrence model for large dip-slip earthquakes is given by the seismological occurrence model using the Gutenberg-Richter magnitude frequency distribution. In contrast, regions dominated by long strike-slip faults produce large earthquakes but not many small earthquakes and the occurrence of earthquakes on such faults should be inferred from the dynamic fault model.</p>

Adaptive kernel estimation of spatial relative risk

2010 ◽  
Vol 29 (23) ◽  
pp. 2423-2437 ◽  
Author(s):  
Tilman M. Davies ◽  
Martin L. Hazelton
Keyword(s):  
Relative Risk ◽  
Kernel Estimation ◽  
Adaptive Kernel

Insights into Preinstrumental Earthquake Data and Catalogs in Europe

2020 ◽  
Vol 91 (5) ◽  
pp. 2546-2553 ◽  
Author(s):  
Andrea N. Rovida ◽  
Paola Albini ◽  
Mario Locati ◽  
Andrea Antonucci
Keyword(s):  
European Archive ◽  
Historical Earthquake ◽  
Earthquake Parameters ◽  
Earthquake Catalogs ◽  
Reliability Parameters ◽  
Earthquake Effects ◽  
Large Earthquakes ◽  
Different Origin ◽  
Earthquake Data ◽  
Final Synthesis

Abstract In current catalogs, the parameters of preinstrumental earthquakes represent the final synthesis of earthquake records of very different type, quality, and reliability. Parameters may be derived from actual and contemporary observations of earthquake effects interpreted as intensity distributions or may be supplied by later seismological studies and descriptive catalogs, consisting of the reinterpretation of already interpreted accounts. The content of earthquake catalogs results from piling data of different origin, interpreted according to diverse approaches. Consequently, the homogeneity and reliability of earthquake parameters strongly vary from one region or period to another, and it is not as straightforward as assumed by end users. The analysis of the wealth of data in the European Archive of Historical Earthquake Data (AHEAD) evidences many differences in their typology and update of the studies supporting European preinstrumental earthquake catalogs, for both moderate and large earthquakes, over a period of 1000 yr.

Blur Kernel Optimization: A New Approach to Patch Selection with Adaptive Kernel Estimation

2013 ◽  
Vol 436 ◽  
pp. 531-538 ◽  
Author(s):  
Saqib Yousaf ◽  
Shi Yin Qin
Keyword(s):  
Computational Cost ◽  
Kernel Estimation ◽  
Local Binary Patterns ◽  
Image Deconvolution ◽  
Patch Selection ◽  
Image Patches ◽  
Adaptive Kernel ◽  
Speed Up ◽  
Kernel Optimization ◽  
Selection Of

Recently, many effective approaches appeared in the field of blind image deconvolution to reduce the computational cost. Using multiple smaller regions instead of whole image not only make the restoration efficient but also improves the results by discarding the ineffectual regions. It is observed that a study is needed to compare different methods for the selection of useful image patches and different schemes to utilize their blur kernels, which is aimed in the present work. A new patch selection method using Contrast based blur invariant features (CBIF) is proposed to find the useful regions which gives better results compared with others e.g., speed-up robust features (SURF), local binary patterns (LBP), local phase quantization (LPQ), maximally stable extremal regions (MSER), Canny and Sobel. In addition, gradually increasing contrast stretched levels shown to give better results compared with commonly used multiscale framework to avoid false local minima. It is also proposed that blur metric by Crete applied on latent image can be used for the selection of better kernel. It is observed that an effective strategy can give good results even when the patches are not selected carefully. The best results are obtained when our proposed patch selection is used with our “selective kernels averaging” scheme.

A shock-capturing SPH scheme based on adaptive kernel estimation

2006 ◽  
Vol 212 (1) ◽  
pp. 124-149 ◽  
Author(s):  
Leonardo Di G. Sigalotti ◽  
Hender López ◽  
Arnaldo Donoso ◽  
Eloy Sira ◽  
Jaime Klapp
Keyword(s):  
Kernel Estimation ◽  
Shock Capturing ◽  
Adaptive Kernel
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