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:: Volume 6, Issue 1 (11-2012) ::
2012, 6(1): 1429-1444 Back to browse issues page
Statistical Prediction of Probabilistic Earthquake Hazard Zonation whit Artificial Neural Networks
Abstract:   (5109 Views)
Prediction of location of future earthquakes with event probability is useful in reduction of earthquake hazard. Determination of predicted locations has attracted more attention to design, seismic rehabilitation and reliability of structures in these sites. Many theories were proposed in the prediction of time of occurrence of earthquake. There is not a method for prediction time of future earthquakes. Many studies have been done in the prediction of magnitude of earthquakes, but there are not any investigations on prediction of earthquake hazard zonation. In this study, the locations that have probability of the event of future earthquake have been predicted by artificial neural networks in Qum and Semnan. Neural networks used in this study can extract to complicate properties of patterns by receipting the interval patterns. Furthermore, the map of earthquake hazard zonation has been drawn. Properties of occurred earthquake were collected since 1903. The most probable event of earthquake in Qum has been predicted 31.6% in center, and 28.9% in north of Semnan
Keywords: earthquake prediction, zonation map, earthquake hazard, Artificial Neural Networks, statistical studies
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Type of Study: s | Subject: En. Geophisic
Accepted: 2016/10/5 | Published: 2016/10/5
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Statistical Prediction of Probabilistic Earthquake Hazard Zonation whit Artificial Neural Networks. Journal of Engineering Geology. 2012; 6 (1) :1429-1444
URL: http://jeg.khu.ac.ir/article-1-382-en.html


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Volume 6, Issue 1 (11-2012) Back to browse issues page
نشریه زمین شناسی مهندسی Journal of Engineering Geology
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