Next Article in Journal
Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices
Next Article in Special Issue
Estimation of Earthquake Early Warning Parameters for Eastern Gulf of Corinth and Western Attica Region (Greece). First Results
Previous Article in Journal
Predicting Seagoing Ship Energy Efficiency from the Operational Data
Article

Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems

1
Institute of Physics of the Earth’s Interior and Geohazards, UNESCO Chair on Solid Earth Physics and Geohazards Risk Reduction, Hellenic Mediterranean University Research Center, 73133 Crete, Greece
2
Seismic Research Centre, University of West Indies, St. Augustine, Trinidad and Tobago
3
Section of Geophysics–Geothermics, Department of Geology and Geoenvironment, National and Kapodistrian University of Athens, Panepistimiopolis, 15784 Athens, Greece
*
Author to whom correspondence should be addressed.
Academic Editors: Maria Tsakiri and George Hloupis
Sensors 2021, 21(8), 2833; https://doi.org/10.3390/s21082833
Received: 20 February 2021 / Revised: 5 April 2021 / Accepted: 14 April 2021 / Published: 17 April 2021
(This article belongs to the Special Issue Sensor Solutions towards Climate-Resilient and Sustainable Cities)
Strong motion sensor networks deployed in metropolitan areas are able to provide valuable information for civil protection Decision Support Systems (DSSs) aiming to mitigate seismic risk and earthquake social-economic impact. To this direction, such a network is installed and real-time operated in Chania (Crete Island, Greece), city located in the vicinity of the seismically active south front of the Hellenic Subduction Zone. A blend of both traditional and advanced analysis techniques and interpretation methods of strong ground motion data are presented, studying indicative cases of Chania shaking due to earthquakes in the last couple years. The orientation independent spectral acceleration as well as the spatial distribution of the strong ground motion parameters such as the Peak Ground Acceleration (PGA), Peak Ground Velocity (PGV), Peak Ground Displacement (PGD) and Arias Ιntensity observed at the urban area of Chania are presented with the use of a Geographic Information System (GIS) environment. The results point to the importance of the strong ground motion networks as they can provide valuable information on earthquake hazards prior to and after detrimental seismic events to feed rapid systems supporting civil protection decisions for prevention and emergency response. View Full-Text
Keywords: strong ground motion; sensor network; decision support system; spectral acceleration; arias intensity; PGA; PGV; PGD; GIS strong ground motion; sensor network; decision support system; spectral acceleration; arias intensity; PGA; PGV; PGD; GIS
Show Figures

Figure 1

MDPI and ACS Style

Chatzopoulos, G.; Papadopoulos, I.; Vallianatos, F.; Makris, J.P.; Kouli, M. Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems. Sensors 2021, 21, 2833. https://doi.org/10.3390/s21082833

AMA Style

Chatzopoulos G, Papadopoulos I, Vallianatos F, Makris JP, Kouli M. Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems. Sensors. 2021; 21(8):2833. https://doi.org/10.3390/s21082833

Chicago/Turabian Style

Chatzopoulos, Georgios, Ilias Papadopoulos, Filippos Vallianatos, John P. Makris, and Maria Kouli. 2021. "Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems" Sensors 21, no. 8: 2833. https://doi.org/10.3390/s21082833

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop