On the Effect of Synthetic and Real DataProperties on Seismic Intensity PredictionEquationsстатья
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Дата последнего поиска статьи во внешних источниках: 20 декабря 2019 г.
Аннотация:The present investigation focuses on the effect ofinput data properties on the estimation of seismic intensity pre-diction equation (IPE) coefficients. Emphasis is placed on small-to-moderate magnitude earthquakes. Synthetic intensity data points(IDPs) are created using a given IPE, assuming independence ofazimuth. Extensive simulations are performed for single earth-quakes and a synthetic database. Tests of single earthquakes showthat increasing the sample size narrows the range of obtainedcoefficients. The larger the difference between the shortest andlongest distance of IDPs from the epicentre, the narrower is thisrange. A short radius of perceptibility is more rapidly saturatedwith new data points than a long one. The synthetic database isused to examine the effect of magnitude and depth errors. Theperformance of synthetic data gives a model with which the realdata can be compared. The attenuation coefficient appearsstable against magnitude errors of ± 0.2 units, but starts to beoverestimated as magnitude errors increase. Assuming an erro-neous regional depth easily leads to intensity differences of1 degree. The mean coefficient values deviate from the correctones and tend to increase with depth. The results resemble thesynthetic ones, but imply larger uncertainties. The attenuationcoefficient, m, appears to be the least sensitive coefficient to errors.Real data from seven post-1965 earthquakes in the magnituderange of 4.0–5.2 were retrieved from the intensity database of theUnited Kingdom.