Fast estimation of earthquake epicenter distance using a single seismological station with machine learning techniques
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional de Colombia
2018
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| _version_ | 1876478926690189312 |
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| author | Luis H. Ochoa |
| author_facet | Luis H. Ochoa |
| contents | Fast estimation of earthquake epicenter distance using a single seismological station with machine learning techniques Luis H. Ochoa Luis F. Niño Carlos A. Vargas Ingeniería Bogota Colombia earthquake seismology seismic event A Support Vector Machine Regression (SVMR) algorithm was applied to calculate the epicenter distance using a ten seconds signal, after primary waves arrive at a seismological station near to Bogota - Colombia. This algorithm was tested with 863 records of earthquakes, where the input parameters were an exponential function of waveform envelope estimated by least squares and maximum value of recorded waveforms for each component of the seismic station. Cross validation was applied to normalized polynomial kernel functions, obtaining mean absolute error for different exponents and complexity parameters. The epicenter distance was estimated with 10.3 kilometers of absolute error, improving the results previously obtained for this hypocentral parameter. The proposed algorithm is easy to implement in hardware and can be employed directly in the field, generating fast decisions at seismological control centers increasing the possibilities of effective reactions. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655628019 https://www.redalyc.org/journal/496/49655628019/ https://www.redalyc.org/journal/496/49655628019/html/ https://www.redalyc.org/journal/496/49655628019/49655628019.epub https://www.redalyc.org/journal/496/49655628019/movil 10.15446/dyna.v85n204.68408 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.204 Vol.85 |
| format | Artículo científico |
| id | redalyc_49655628019 |
| institution | Redalyc |
| language | en |
| publishDate | 2018 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Fast estimation of earthquake epicenter distance using a single seismological station with machine learning techniques Luis H. Ochoa Ingeniería Bogota Colombia earthquake seismology seismic event Fast estimation of earthquake epicenter distance using a single seismological station with machine learning techniques Luis H. Ochoa Luis F. Niño Carlos A. Vargas Ingeniería Bogota Colombia earthquake seismology seismic event A Support Vector Machine Regression (SVMR) algorithm was applied to calculate the epicenter distance using a ten seconds signal, after primary waves arrive at a seismological station near to Bogota - Colombia. This algorithm was tested with 863 records of earthquakes, where the input parameters were an exponential function of waveform envelope estimated by least squares and maximum value of recorded waveforms for each component of the seismic station. Cross validation was applied to normalized polynomial kernel functions, obtaining mean absolute error for different exponents and complexity parameters. The epicenter distance was estimated with 10.3 kilometers of absolute error, improving the results previously obtained for this hypocentral parameter. The proposed algorithm is easy to implement in hardware and can be employed directly in the field, generating fast decisions at seismological control centers increasing the possibilities of effective reactions. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655628019 https://www.redalyc.org/journal/496/49655628019/ https://www.redalyc.org/journal/496/49655628019/html/ https://www.redalyc.org/journal/496/49655628019/49655628019.epub https://www.redalyc.org/journal/496/49655628019/movil 10.15446/dyna.v85n204.68408 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.204 Vol.85 |
| title | Fast estimation of earthquake epicenter distance using a single seismological station with machine learning techniques |
| topic | Ingeniería Bogota Colombia earthquake seismology seismic event |
| url | https://www.redalyc.org/articulo.oa?id=49655628019 https://www.redalyc.org/journal/496/49655628019/ https://www.redalyc.org/journal/496/49655628019/html/ https://www.redalyc.org/journal/496/49655628019/49655628019.epub https://www.redalyc.org/journal/496/49655628019/movil |