Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan
A dense seismic network can increase Earthquake Early Warning (EEW) system capability to estimate earthquake information with higher accuracy. It is also critical for generating fast, robust earthquake alarms before strong-ground shaking hits the target area. However, building a dense seismic networ...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2015-01-01
|
| Series: | Terrestrial, Atmospheric and Oceanic Sciences |
| Subjects: | |
| Online Access: |
http://tao.cgu.org.tw/pdf/v265p503.pdf
|
| _version_ | 1811292543737921536 |
|---|---|
| author | Da-Yi Chen Yih-Min Wu and Tai-Lin Chin |
| author_facet | Da-Yi Chen Yih-Min Wu and Tai-Lin Chin |
| author_sort | Da-Yi Chen |
| collection | DOAJ |
| description | A dense seismic network can increase Earthquake Early Warning (EEW) system capability to estimate earthquake information with higher accuracy. It is also critical for generating fast, robust earthquake alarms before strong-ground shaking hits the target area. However, building a dense seismic network via traditional seismometers is too expensive and may not be practical. Using low-cost Micro-Electro Mechanical System (MEMS) accelerometers is a potential solution to quickly deploy a large number of sensors around the monitored region. An EEW system constructed using a dense seismic network with 543 MEMS sensors in Taiwan is presented. The system also incorporates the official seismic network of _ Central Weather Bureau (CWB). The real-time data streams generated by the two networks are integrated using the Earthworm software. This paper illustrates the methods used by the integrated system for estimating earthquake information and evaluates the system performance. We applied the Earthworm picker for the seismograms recorded by the MEMS sensors (Chen et al. 2015) following new picking constraints to accurately detect P-wave arrivals and use a new regression equation for estimating earthquake magnitudes. An off-line test was implemented using 46 earthquakes with magnitudes ranging from ML 4.5 - 6.5 to calibrate the system. The experimental results show that the integrated system has stable source parameter results and issues alarms much faster than the current system run by the CWB seismic network (CWBSN). |
| first_indexed | 2024-04-13T04:46:59Z |
| format | Article |
| id | doaj.art-83d3767bf38a416ca879184c3f90785e |
| institution | Directory Open Access Journal |
| issn | 1017-0839 2311-7680 |
| language | English |
| last_indexed | 2024-04-13T04:46:59Z |
| publishDate | 2015-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Terrestrial, Atmospheric and Oceanic Sciences |
| spelling | doaj.art-83d3767bf38a416ca879184c3f90785e2022-12-22T03:01:48ZengSpringerTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802015-01-0126550310.3319/TAO.2015.04.17.01(T)1307Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in TaiwanDa-Yi ChenYih-Min Wuand Tai-Lin ChinA dense seismic network can increase Earthquake Early Warning (EEW) system capability to estimate earthquake information with higher accuracy. It is also critical for generating fast, robust earthquake alarms before strong-ground shaking hits the target area. However, building a dense seismic network via traditional seismometers is too expensive and may not be practical. Using low-cost Micro-Electro Mechanical System (MEMS) accelerometers is a potential solution to quickly deploy a large number of sensors around the monitored region. An EEW system constructed using a dense seismic network with 543 MEMS sensors in Taiwan is presented. The system also incorporates the official seismic network of _ Central Weather Bureau (CWB). The real-time data streams generated by the two networks are integrated using the Earthworm software. This paper illustrates the methods used by the integrated system for estimating earthquake information and evaluates the system performance. We applied the Earthworm picker for the seismograms recorded by the MEMS sensors (Chen et al. 2015) following new picking constraints to accurately detect P-wave arrivals and use a new regression equation for estimating earthquake magnitudes. An off-line test was implemented using 46 earthquakes with magnitudes ranging from ML 4.5 - 6.5 to calibrate the system. The experimental results show that the integrated system has stable source parameter results and issues alarms much faster than the current system run by the CWB seismic network (CWBSN). http://tao.cgu.org.tw/pdf/v265p503.pdf geophysicsgeologyatmospheric sciencespace scienceoceanic sciencehydrology |
| spellingShingle | Da-Yi Chen Yih-Min Wu and Tai-Lin Chin Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan Terrestrial, Atmospheric and Oceanic Sciences geophysics geology atmospheric science space science oceanic science hydrology |
| title | Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan |
| title_full | Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan |
| title_fullStr | Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan |
| title_full_unstemmed | Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan |
| title_short | Incorporating Low-Cost Seismometers into the Central Weather Bureau Seismic Network for Earthquake Early Warning in Taiwan |
| title_sort | incorporating low cost seismometers into the central weather bureau seismic network for earthquake early warning in taiwan |
| topic | geophysics geology atmospheric science space science oceanic science hydrology |
| url |
http://tao.cgu.org.tw/pdf/v265p503.pdf
|
| work_keys_str_mv | AT dayichen incorporatinglowcostseismometersintothecentralweatherbureauseismicnetworkforearthquakeearlywarningintaiwan AT yihminwu incorporatinglowcostseismometersintothecentralweatherbureauseismicnetworkforearthquakeearlywarningintaiwan AT andtailinchin incorporatinglowcostseismometersintothecentralweatherbureauseismicnetworkforearthquakeearlywarningintaiwan |