Definition of the Subject
The origin of the term “early warning” probably goes back to the first decades of the last century. However, the first practical use ofan “early warning” strategy was military and it was developed during the “cold war” years as a countermeasure to thepotential threat from intercontinental ballistic missiles. The objective of these systems was to give an alert to target areas as soon as a missilewas detected by a radar system or a launch was detected by a satellite system. In this context the term “lead time” was defined as thetime elapsing between the detection of the missile and theestimated impact on the target.
In the last decades the use of the term “early warning” greatly expanded. It is used with small, but significant, variations in varioustypes of risks, from epidemiological, to economic, social, and of course all the types of natural and environmental risks.
In fact, in these contexts, including some natural risks such as hydro‐geological and...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- Data transmission system :
-
A multi‐component device aimed at the transmission of seismic signals over a distance, also denoted as a telecommunication system. Each data transmission system consists of two basic elements: a transmitter that takes information and converts it to an electromagnetic signal and a receiver that receives the signal and converts it back into usable information.
Modern telecommunication systems are two-way and a single device, a transceiver, acts as both a transmitter and receiver. Transmitted signals can either be analogue or digital. In an analogue signal, the signal is varied continuously with respect to the information. In a digital signal, the information is encoded as a set of discrete, binary values. During transmission, the information contained in analogue signals will be degraded by noise, while, unless the noise exceeds a certain threshold, the information contained in digital signals will remain intact. This represents a key advantage of digital signals over analogue signals. A collection of transmitters, receivers or transceivers that communicate with each other is a telecommunication network. Digital networks may consist of one or more routers that route data to the correct user.
- Earthquake early warning system (EEWS):
-
A real-time, modern information system that is able to provide rapid notification of the potential damaging effects of an impending earthquake, through rapid telemetry and processing of data from dense instrument arrays deployed in the source region of the event of concern (regional EEWS) or surrounding the target infrastructure (site‐specific EEWS). A “regional” EEWS is based on a dense sensor network covering a portion or the entirety of an area that is threatened by earthquakes. The relevant source parameters (event location and magnitude) are estimated from the early portion of recorded signals and are used to predict, with a quantified confidence, a ground motion intensity measure at a distant site where a target structure of interest is located. On the other hand, a “site‐specific” EEWS consists of a single sensor or an array of sensors deployed in the proximity of the target structure that is to be alerted, and whose measurements of amplitude and predominant period on the initial P‑wave motion are used to predict the ensuing peak ground motion (mainly related to the arrival of S and surface waves) at the same site.
- Earthquake location :
-
An earthquake location specifies the spatial position and time of occurrence for an earthquake. The location may refer to the earthquake hypocenter and corresponding origin time, a mean or centroid of some spatial or temporal characteristic of the earthquake, or another property of the earthquake that can be spatially and temporally localized.
- Earthquake magnitude :
-
The magnitude is a parameter used by seismologists to quantify the earthquake size. The Richter magnitude scale, or more correctly, local magnitude ML scale, assigns a single number to quantify the amount of seismic energy released by an earthquake. It is a base-10 logarithmic scale obtained by calculating the logarithm of the combined horizontal amplitude of the largest displacement from zero on a seismometer output. Measurements have no limits and can be either positive or negative.
Introduced by the Japanese seismologist Aki in 1962, the seismic moment is the present‐day physical parameter used to characterize the earthquake strength. It represents the scalar moment of one the couples of forces producing the dislocation at an earthquake fault and it is measured from the asymptotic DC level on displacement Fourier spectra of recorded seismic signals.
- Probability density function – PDF:
-
A function in one or more dimensional space X that (i) when integrated over some interval \( { \Delta x } \) in X gives a probability of occurrence of any event within \( { \Delta x } \), and (ii) has unit integral over space X, where X represents a space of possible events.
- Seismic data‐logger :
-
A core element of a digital seismic station, whose aim is to record the analogue signals from seismic sensors and convert them in digital form with an assigned sampling frequency. Ground motion signals acquired by seismic sensors are pre‐amplified and anti‐aliasing filtered in a data‐logger before they are digitalized through an AD (analog-to‐digital) converter. The main technical features of a modern data‐logger are the number of available channels, the allowed sampling frequencies, the dynamic range, the digitizer clock type, the storage capacity (PCMCIA, internal flash and/or hard disk, USB, …), network interfaces (ethernet, wireless lan, or ppp) and power consumption.
- Seismic hazard :
-
The probability that at a given site, a strong motion parameter (generally the peak ground acceleration) exceeds an assigned value in a fixed time period. When the seismic hazard is computed for an extended region it is generally represented as a map. The hazard map is commonly computed for a constant probability level (10%, 5% or 2%) and a given time window (50 years). It represents the spatial variation of the peak ground acceleration (expressed in percentage of gravity g) to be exceeded in the given period with the chosen probability level.
Earthquake early warning systems can provide a mean for the evaluation of real-time hazard maps which evolve with time, as new information about source location, magnitude and predicted peak ground motion parameters are available soon after the earthquake occurrence.
- Seismic sensors :
-
Instruments used to record the ground vibration produced by natural and artificial sources, generally denoted as seismometers. A seismometer measures the relative motion between its frame and a suspended mass. Early seismometers used optics, or motion‐amplifying mechanical linkages. The motion was recorded as scratches on smoked glass, or exposures of light beams on photographic paper. In modern instruments the proof mass is held motionless by an electronic negative feedback loop that drives a coil. The distance moved, speed and acceleration of the mass are directly measured. Most modern seismometers are broadband, working on a wide range of frequencies (0.01–100 Hz). Another type of seismometer is a digital strong‐motion seismometer, or accelerometer , which measures soil acceleration. Due to its relatively high dynamic range, the accelerometer can record unsaturated strong amplitude signals at close distances from a large earthquake. This data is essential to understand how an earthquake affects human structures.
Bibliography
Primary Literature
Allen RM (2007) The ElarmS earthquake early warning methodology and its application across California. In: Gasparini P, Manfredi G,Zschau J (eds) Earthquake early warning systems. Springer, Berlin, pp 21–44. ISBN‑13 978-3-540-72240-3
Allen RM, Kanamori H (2003) The potential for earthquake early warning in Southern California. Science 300:786–789. doi:10.1126/science.1080912
Ambraseys N, Smit P, Douglas J, Margaris B, Sigbjornsson R, Olafsson S, Suhadolc P, Costa G (2004) Internet site for Europeanstrong‐motion data. Boll Geofis Teor Appl45(3):113–129
Bakun W, Fischer HF, Jensen E, VanSchaack J (1994) Early warning system for aftershocks. Bull Seismol Soc Am 84(2):359–365
Bernard P, Zollo A (1989) The Irpinia (Italy) 1980 earthquake: detailed analysis of a complex normal fault. J Geophys Res 94:1631–1648
Guidoboni E, Ferrari G, Mariotti D, Comastri A, Tarabusi G, Valensise G (2007) CFTI4Med, Catalogue of Strong Earthquakes in Italy (461 B.C.-1997) and Mediterranean Area (760 B.C.-1500). INGV-SGA. Available from http://storing.ingv.it/cfti4med/
Bose M, Ionescu C, Wenzel F (2007) Earthquake early warning for Bucharest, Romania: Novel and revised scaling relations. Geophys Res Lett34:L07302. doi:10.1029/2007GL029396
Bouchon M (1979) Discrete wave number representation of elastic wave fields in three-space dimensions, J Geophys Res 84:3609–3614
Cinti FR, Faenza L, Marzocchi W, Montone P (2004) Probability map of the next \( { M \geq 5.5 } \) earthquakes in Italy. Geochem Geophys Geosyst 5:Q1103. doi:10.1029/2004GC000724.
ConvertitoV, Iervolino I, Giorgio M, Manfredi G, Zollo A (2008) Prediction ofresponse spectra via real-time earthquake measurements. Soil Dyn Earthq Eng 28(6):492–505. doi:10.1016/j.soildyn.2007.07.006
Cornell CA (1968) Engineering seismic hazard analysis. Bull Seismol Soc Am 59(5):1583–1606
Cua G, Heaton T (2007) The virtual seismologist (VS) method: A Bayesian approach to earthquake early warning. In: Gasparini P, Manfredi G, Zschau J (eds) Earthquake early warning systems. Springer, Berlin. doi:10.1007/978-3-540-72241-0_7
Curtis A, Lomax A (2001) Prior information, sampling distributions and the curse of dimensionality. Geophysics 66:372–378. doi:10.1190/1.1444928
Erdik M, Fahjan Y, Ozel O, Alcik H, Mert A, Gul M (2003) Istanbul earthquake rapid response and the early warning system. Bull EarthquakeEng 1(1):157–163. doi:10.1023/A:1024813612271
Espinosa‐Aranda JM, Jimenez A, Ibarrola G, Alcantar F, Aguilar A, Inostroza M, Maldonado S (1995) Mexico City seismic alert system. Seismol Res Lett 66:42–53
Font Y, Kao H, Lallemand S, Liu C-S, Chiao L-Y (2004) Hypocentral determination offshore Eastern Taiwan using the maximumintersection method. Geophys J Int 158(2):655–675. doi:10.1111/j.1365-246X.2004.02317.x
Grasso V, Allen RM (2005) Earthquake warning systems: Characterizing prediction uncertainty. Eos Trans AGU 86(52), FallMeet. Suppl., Abstract S44B-03
Horiuchi S, Negishi H, Abe K, Kamimura A, Fujinawa Y (2005) An automatic processing system for broadcasting earthquake alarms. BullSeism Soc Am 95(2):708–718. doi:10.1785/0120030133
Iervolino I, Convertito V, Giorgio M, Manfredi G, Zollo A (2006) Real time risk analysis for hybrid earthquake early warning systems. J Earthq Eng 10(6):867–885
Iervolino I, Convertito V, Giorgio M, Manfredi G, Zollo A (2007a) The cry wolf issue in seismic early warning applications for thecampania region. In: Gasparini P et al (eds) Earthquake early warningsystems. Springer, Berlin. doi:10.1007/978-3-540-72241-0_11
Iervolino I, Giorgio M, Manfredi G (2007b) Expected loss-based alarm threshold set for earthquake early warning systems. Earthq Eng Struc Dyn 36(9):1151–1168. doi:10.1002/eqe.675
Iervolino I, Manfredi G, Cosenza E (2007c) Earthquake early warning and engineering applications prospects. In: Gasparini P, ManfrediG, Szchau J (eds) Earthquake early warning systems. Springer, Berlin, doi:10.1007/978-3-540-72241-0_12
Jenny S, Goes S, Giardini D, Kahle H-G (2006) Seismic potential of Southern Italy. Tectonophysics 415:81–101. doi:10.1016/j.tecto.2005.12.003.
Kamigaichi O (2004) JMA earthquake early warning. J Japan Assoc Earthq Eng 3:134—137
Kanamori H (2005) Real-time seismology and earthquake damage mitigation. Ann Rev Earth Planet Sci 33:195–214. doi:10.1146/annurev.earth.33.092203.122626
Lancieri M, Zollo A (2008) A bayesian approach to the real-time estimation of magnitude from the early P- and S‑wave displacement peaks. J Geophys Res. doi:10.1029/2007JB005386, in press
Lomax A (2005) A Reanalysis of the hypocentral location and related observations for the great 1906 California earthquake. BullSeism Soc Am 95(3):861–877. doi:10.1785/0120040141
Meletti C, Patacca E, Scandone P (2000) Construction of a seismotectonic model: The case of Italy. Pure Appl Geophys 157:11–35
Montone P, Mariucci MT, Pondrelli S, Amato A (2004) An improved stress map for Italy and surrounding regions (central Mediterranean). J Geophys Res 109:B10410. doi:10.1029/2003JB002703
Munich Re (eds) (2005) Environmental report – perspectives – Today's ideas for tomorrow's world, WKD‐Offsetdruck GmbH, München
Nakamura Y (1988) On the urgent earthquake detection and alarm system (UrEDAS). Proc 9th World Conf Earthquake Eng VII, Toyko, 673–678
Nakamura Y (1989) Earthquake alarm system for Japan railways. Japan Railway Eng 109:1–7
Nakamura Y (2004) Uredas, urgent earthquake detection and alarm system, now and future. 13th World Conference on Earthquake Engineering 908
Okada T et al (2003) A new method of quickly estimating epicentral distance and magnitude from a single seismic record. BullSeismol Soc Am 93(1):526–532. doi:10.1785/0120020008
Podvin P, Lecomte I (1991) Finite difference computations of traveltimes in very contrasted velocity models: a massively parallel approach and its associated tools. Geophys. J Int. 105:271–284
Rydelek P, Pujol J (2004) Real-time seismic warning with a 2‑station subarray, Bull Seism Soc Am94(4):1546–1550. doi:10.1785/012003197
Satriano C, Lomax A, Zollo A (2008) Real-time evolutionary earthquake location for seismic early warning. Bull Seism Soc Am98(3):1482–1494. doi:10.1785/0120060159
Simons F, Dando JB, Allen R (2006) Automatic detection and rapid determination of earthquake magnitude by wavelet multiscale analysis of the primary arrival. Earth Planet Sci Lett 250:214–223. doi:10.1016/j.epsl.2006.07.039
Teng TL, Wu Y-M, Shin TC, Tsai YB, Lee WHK (1997) One minute after: strong‐motion map, effective epicenter, and effective magnitude. Bull Seism Soc Am 87(5):1209–1219
Tsukada S (2006) Earthquake early warning system in Japan. Proc 6th Joint Meeting UJNR Panel on Earthquake Research, Tokushima, Japan
Valensise G, Amato A, Montone P, Pantosti D (2003) Earthquakes in Italy: Past, present and future. Episodes 26(3):245–249
Wenzel FM et al (1999) An early warning system for Bucharest. Seismol Res Lett 70(2):161–169
Westaway R, Jackson J (1987) The earthquake of 1980 November 23 in Campania‐Basilicata (southern Italy), Geophys J R Astron Soc 90:375–443. doi:10.1111/j.1467-6435.1999.tb00581.x
Wu Y-M, Teng T (2002) A virtual subnetwork approach to earthquake early warning. Bull Seismol Soc Am 92(5):2008–2018. doi:10.1785/0120040097
Wu Y-M, Kanamori H (2005) Experiment on onsite early warning method for the Taiwan early warning system. Bull Seismol Soc Am95(1):347–353. doi:10.1785/0120040097
Wu YM, Zhao L (2006) Magnitude estimation using the first three seconds of p‑wave amplitude inearthquake early warning. Geophys Res Lett 33:L16312. doi:10.1029/2006GL026871
Wurman G, Allen RM, Lombard P (2007) Toward earthquake early warning in Northern California. J Geophys Res 112:B08311. doi:10.1029/2006JB004830
Zhou H (1994) Rapid 3-D hypocentral determination using a master station method, J Geophys Res 99(B8):15439–15455
Zollo A, Lancieri M, Nielsen S (2006) Earthquake magnitude estimation from peak amplitudes of very early seismic signals on strong motion records. Geophys Res Lett 33:L23312. doi:10.1029/2006GL027795
Zollo A, Lancieri M, Nielsen S (2007) Reply to comment by P. Rydelek et al on “Earthquake magnitude estimation from peak amplitudes of very early seismic signals on strong motion records”. Geophys Res Lett 34:L20303. doi:10.1029/2007GL030560.
Books and Reviews
Berger JO (1985) Statistical decision theory and Bayesian analysis. Springer, New York
Coutant O (1989) Program de simulation numerique AXITRA. Rapport LGIT, Grenoble, France
Gruppo di Lavoro MPS (2004) Redazione della mappa di pericolosità sismica prevista dall'Ordinanza PCM 3274 del 20 marzo (2003) Rapporto Conclusivo per il Dipartimento della Protezione Civile, INGV, Milano‐Roma, aprile (2004) 65 pp + 5 appendici
Milne J (1886) Earthquakes and other earth movements. Appelton, New York, p 361
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag
About this entry
Cite this entry
Zollo, A. et al. (2009). Earthquake Early Warning System in Southern Italy. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_147
Download citation
DOI: https://doi.org/10.1007/978-0-387-30440-3_147
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-75888-6
Online ISBN: 978-0-387-30440-3
eBook Packages: Physics and AstronomyReference Module Physical and Materials ScienceReference Module Chemistry, Materials and Physics