Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results
Main Author: | |
---|---|
Publication Date: | 2022 |
Other Authors: | , , |
Language: | por |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10174/33434 https://doi.org/• Manso, M., Bezzeghoud, M., Borges, J., Caldeira, B. (2022). Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results. In: Ahrens, A., Prasad, R.V., Benavente-Peces, C., Ansari, N. (eds) Sensor Networks. SENSORNETS SENSORNETS 2021 2020. Communications in Computer and Information Science, vol 1674. Springer, Cham. https://doi.org/10.1007/978-3-031-17718-7_5 https://doi.org/10.1007/978-3-031-17718-7_5 |
Summary: | The devastating impact that seismic events can cause to societies demands that the underlying physical processes that cause them are better under- stood. Seismic networks have been increasingly deployed over the years allow- ing to measure ground motion with great accuracy and, in a few cases, reaching high-density deployments for high-resolution measurements. In this chapter it is described the work conducted to build a high-density seismic network comprised of low-cost network-enabled accelerometer sensors to monitor the Alentejo region. The design resulted in a modular platform that can operate with different sensors. Following a noise performance evaluation, the Analog ADXL355 accelerome- ter was selected for the deployment phase. Herein, sensor system measurements were compared with a professional seismometer, using two actual seismic events recorded in Portugal. These events allowed to demonstrate the sensors capabilities in detecting weak (2.5 ML) to moderate (3.4 ML) seismic events at short (8 km) and medium (140 km) distances respectively. Comparing obtained measurements with a professional seismometer, however, the sensor prototypes exhibited, as expected, a higher presence of sensor noise. Overall it is concluded that the sensor system has a potential application in seismology. |
id |
RCAP_cc01c6201e7ca69cbb27e1ebb3fa2860 |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/33434 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and ResultsHigh-Density Seismic NetworkSeismic SensorsMEMSAccelerometersSeismologySensor noiseThe devastating impact that seismic events can cause to societies demands that the underlying physical processes that cause them are better under- stood. Seismic networks have been increasingly deployed over the years allow- ing to measure ground motion with great accuracy and, in a few cases, reaching high-density deployments for high-resolution measurements. In this chapter it is described the work conducted to build a high-density seismic network comprised of low-cost network-enabled accelerometer sensors to monitor the Alentejo region. The design resulted in a modular platform that can operate with different sensors. Following a noise performance evaluation, the Analog ADXL355 accelerome- ter was selected for the deployment phase. Herein, sensor system measurements were compared with a professional seismometer, using two actual seismic events recorded in Portugal. These events allowed to demonstrate the sensors capabilities in detecting weak (2.5 ML) to moderate (3.4 ML) seismic events at short (8 km) and medium (140 km) distances respectively. Comparing obtained measurements with a professional seismometer, however, the sensor prototypes exhibited, as expected, a higher presence of sensor noise. Overall it is concluded that the sensor system has a potential application in seismology.Springer2023-01-16T15:26:29Z2023-01-162022-09-27T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10174/33434https://doi.org/• Manso, M., Bezzeghoud, M., Borges, J., Caldeira, B. (2022). Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results. In: Ahrens, A., Prasad, R.V., Benavente-Peces, C., Ansari, N. (eds) Sensor Networks. SENSORNETS SENSORNETS 2021 2020. Communications in Computer and Information Science, vol 1674. Springer, Cham. https://doi.org/10.1007/978-3-031-17718-7_5http://hdl.handle.net/10174/33434https://doi.org/10.1007/978-3-031-17718-7_5porme@marcomanso.commourad@uevora.ptjborges@uevora.ptbafcc@uevora.pt393Manso, MarcoBezzeghoud, MouradBorges, JoséCaldeira, Bentoinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T19:35:12Zoai:dspace.uevora.pt:10174/33434Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:28:51.207089Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
title |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
spellingShingle |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results Manso, Marco High-Density Seismic Network Seismic Sensors MEMS Accelerometers Seismology Sensor noise |
title_short |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
title_full |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
title_fullStr |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
title_full_unstemmed |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
title_sort |
Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results |
author |
Manso, Marco |
author_facet |
Manso, Marco Bezzeghoud, Mourad Borges, José Caldeira, Bento |
author_role |
author |
author2 |
Bezzeghoud, Mourad Borges, José Caldeira, Bento |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Manso, Marco Bezzeghoud, Mourad Borges, José Caldeira, Bento |
dc.subject.por.fl_str_mv |
High-Density Seismic Network Seismic Sensors MEMS Accelerometers Seismology Sensor noise |
topic |
High-Density Seismic Network Seismic Sensors MEMS Accelerometers Seismology Sensor noise |
description |
The devastating impact that seismic events can cause to societies demands that the underlying physical processes that cause them are better under- stood. Seismic networks have been increasingly deployed over the years allow- ing to measure ground motion with great accuracy and, in a few cases, reaching high-density deployments for high-resolution measurements. In this chapter it is described the work conducted to build a high-density seismic network comprised of low-cost network-enabled accelerometer sensors to monitor the Alentejo region. The design resulted in a modular platform that can operate with different sensors. Following a noise performance evaluation, the Analog ADXL355 accelerome- ter was selected for the deployment phase. Herein, sensor system measurements were compared with a professional seismometer, using two actual seismic events recorded in Portugal. These events allowed to demonstrate the sensors capabilities in detecting weak (2.5 ML) to moderate (3.4 ML) seismic events at short (8 km) and medium (140 km) distances respectively. Comparing obtained measurements with a professional seismometer, however, the sensor prototypes exhibited, as expected, a higher presence of sensor noise. Overall it is concluded that the sensor system has a potential application in seismology. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-27T00:00:00Z 2023-01-16T15:26:29Z 2023-01-16 |
dc.type.driver.fl_str_mv |
book part |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/33434 https://doi.org/• Manso, M., Bezzeghoud, M., Borges, J., Caldeira, B. (2022). Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results. In: Ahrens, A., Prasad, R.V., Benavente-Peces, C., Ansari, N. (eds) Sensor Networks. SENSORNETS SENSORNETS 2021 2020. Communications in Computer and Information Science, vol 1674. Springer, Cham. https://doi.org/10.1007/978-3-031-17718-7_5 http://hdl.handle.net/10174/33434 https://doi.org/10.1007/978-3-031-17718-7_5 |
url |
http://hdl.handle.net/10174/33434 https://doi.org/• Manso, M., Bezzeghoud, M., Borges, J., Caldeira, B. (2022). Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results. In: Ahrens, A., Prasad, R.V., Benavente-Peces, C., Ansari, N. (eds) Sensor Networks. SENSORNETS SENSORNETS 2021 2020. Communications in Computer and Information Science, vol 1674. Springer, Cham. https://doi.org/10.1007/978-3-031-17718-7_5 https://doi.org/10.1007/978-3-031-17718-7_5 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
me@marcomanso.com mourad@uevora.pt jborges@uevora.pt bafcc@uevora.pt 393 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833592851429064704 |