17
133 ANNALS OF GEOPHYSICS, VOL. 47, N. 1, February 2004 Key words slip weakening – accelerated creep – short-term earthquake precursor – strain – spatial- temporal scale – mosaic pattern – teleseismic effects 1. Introduction Several fundamental problems are still un- solved in the problem of earthquake (EQ) pre- diction. Nevertheless, the optimistic point of view is supported by few successfully predicted destructive EQs (Raleygh et al., 1977; Hui et al., 1997; Sykes et al., 1999). On the other hand, the phenomena of Self-Organized Criti- cality (SOC) in the Earth’s crust (Bak et al., 1988) have no scale length, and hence any reli- able evaluation of the place, time, and intensity of an EQ is considered to be unlikely. The SOC concept actually denies any progress and brings the problem of EQ prediction back to its initial state (Geller, 1997). Further research is re- quired to clarify whether the SOC is an insur- mountable obstacle or it only indicates the in- adequacy of available data. Among various prediction problems, the feasibility of short-term prediction is the least studied and depends on the nature and scale of the aseismic nucleation phase of large EQs (Sykes et al., 1999). The stage of tertiary creep (or slip weakening), which precedes the brittle fracture of rocks, can be regarded as a mecha- nism of short-term precursor generation. Accel- erating strain considerably increases the signal- to-noise ratio of measurable geophysical pa- rameters, which is beneficial to the identifica- tion of the ductile failure stage in the source by measuring geophysical fields at the Earth’s sur- face. The creep process develops in an ava- lanche-like manner and acquires an important Slip weakening, strain and short-term preseismic disturbances Vitali A. Morgounov The Head of Tectono-Electromagnetic Laboratory, Schmidt United Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia Abstract The problem of short-term earthquake precursors is discussed. In contrast to the increasing number of reports on short-lived precursors of various types, direct strain measurements cannot detect clearly expressed preseismic anomalies, as follows from the aseismic nucleation mechanism. Based on previously published data and the as- sumption that the attenuation of the stress-strain field is proportional to r 3 , a possible scenario of the final stage of earthquake nucleation process is proposed on the basis of the slip weakening mechanism in the source and the associated mosaic pattern of precursors on the Earth’s surface. The formulas for estimating the maximum distance of precursor detection and minimum duration of the final stage of inelastic deformation preceding brit- tle failure of rocks are derived. The data of electromagnetic precursors are interpreted in terms of a skin-layer model. A considerable increase in strain rates at the final stage of the earthquake nucleation provides an oppor- tunity to explain teleseismic effects before strong earthquakes in terms of normalized epicenter distance. The modeling results are compared with in situ observations. Mailing address: Prof. Vitali A. Morgounov, The Head of Tectono-Electromagnetic Laboratory, Schmidt United Institute of Physics of the Earth, Russian Academy of Sciences, ul. Bolshaya Gruzinskaya 10, D-242, GSP-5, 123995 Moscow, Russia; e-mail: [email protected]

Slip weakening, strain and short-term preseismic …...of the creep records that leads the water level ex-cursion recorded by the Phelan water level mon-itor (∼ 65 km from epicenter)

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Page 1: Slip weakening, strain and short-term preseismic …...of the creep records that leads the water level ex-cursion recorded by the Phelan water level mon-itor (∼ 65 km from epicenter)

133

ANNALS OF GEOPHYSICS, VOL. 47, N. 1, February 2004

Key words slip weakening – accelerated creep –short-term earthquake precursor – strain – spatial-temporal scale – mosaic pattern – teleseismic effects

1. Introduction

Several fundamental problems are still un-solved in the problem of earthquake (EQ) pre-diction. Nevertheless, the optimistic point ofview is supported by few successfully predicteddestructive EQs (Raleygh et al., 1977; Hui etal., 1997; Sykes et al., 1999). On the otherhand, the phenomena of Self-Organized Criti-cality (SOC) in the Earth’s crust (Bak et al.,1988) have no scale length, and hence any reli-

able evaluation of the place, time, and intensityof an EQ is considered to be unlikely. The SOCconcept actually denies any progress and bringsthe problem of EQ prediction back to its initialstate (Geller, 1997). Further research is re-quired to clarify whether the SOC is an insur-mountable obstacle or it only indicates the in-adequacy of available data.

Among various prediction problems, thefeasibility of short-term prediction is the leaststudied and depends on the nature and scale ofthe aseismic nucleation phase of large EQs(Sykes et al., 1999). The stage of tertiary creep(or slip weakening), which precedes the brittlefracture of rocks, can be regarded as a mecha-nism of short-term precursor generation. Accel-erating strain considerably increases the signal-to-noise ratio of measurable geophysical pa-rameters, which is beneficial to the identifica-tion of the ductile failure stage in the source bymeasuring geophysical fields at the Earth’s sur-face. The creep process develops in an ava-lanche-like manner and acquires an important

Slip weakening, strain and short-termpreseismic disturbances

Vitali A. MorgounovThe Head of Tectono-Electromagnetic Laboratory, Schmidt United Institute of Physics of the Earth,

Russian Academy of Sciences, Moscow, Russia

Abstract The problem of short-term earthquake precursors is discussed. In contrast to the increasing number of reports onshort-lived precursors of various types, direct strain measurements cannot detect clearly expressed preseismicanomalies, as follows from the aseismic nucleation mechanism. Based on previously published data and the as-sumption that the attenuation of the stress-strain field is proportional to r− 3, a possible scenario of the final stageof earthquake nucleation process is proposed on the basis of the slip weakening mechanism in the source andthe associated mosaic pattern of precursors on the Earth’s surface. The formulas for estimating the maximumdistance of precursor detection and minimum duration of the final stage of inelastic deformation preceding brit-tle failure of rocks are derived. The data of electromagnetic precursors are interpreted in terms of a skin-layermodel. A considerable increase in strain rates at the final stage of the earthquake nucleation provides an oppor-tunity to explain teleseismic effects before strong earthquakes in terms of normalized epicenter distance. Themodeling results are compared with in situ observations.

Mailing address: Prof. Vitali A. Morgounov, The Headof Tectono-Electromagnetic Laboratory, Schmidt UnitedInstitute of Physics of the Earth, Russian Academy ofSciences, ul. Bolshaya Gruzinskaya 10, D-242, GSP-5,123995 Moscow, Russia; e-mail: [email protected]

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Vitali A. Morgounov

property of irreversibility. This scenario of EQdevelopment appears to be logically consistent.

However, in spite of the encouraging exper-imental results of short-term precursor studies(Fleischer, 1981; Warwick et al., 1982; Oki etal., 1988; Rikitake, 1988; Roeloffs, 1988; Fras-er-Smith et al., 1990; Varotsos et al., 1993;Wakita et al., 1998; Uyeda et al., 2000; Meloniet al., 2001a,b; Tramutoli et al., 2001; Spichak,et al., 2002) and theoretical models of faultingaccording to which the rupture should be pre-ceded by a gradually accelerating slip (Press,1965; Rice et al., 1979; Dieterich, 1992; Ohna-ka, 1993), the strain anomalies have not beenreliably established by direct strain measure-ments before earthquakes in various regions ofthe Earth and in California in particular (John-ston et al., 1994; Wyatt et al., 1994; Abercrom-bie, 1995).

The San Andreas sliding fault zone seems tobe the most spectacular example of the contra-diction. Since the problem in question is of cru-cial importance, a brief review of in situ meas-urements in this region and the discussion ofthe related important features (the mosaic pat-tern of the strain field and teleseismic effects)are presented below.

Along with controversial arguments, manyauthors report on preseismic irregular patternsobserved in the San Andreas zone (O’Neil etal., 1981; Teng et al., 1981; Roeloffs, 1988;Ben-Zion, 1990; Fraser-Smith, 1990). Learyand Malin (1984) observed ground deformationevents a few hours before the Homestead Valleysequence of EQs of 1979 in Southern California(4.7 < ML < 5.2); the observations were made atthree separate points on the periphery of theMojave block. These events manifested them-selves as anomalous water level variations anda creep step measured by a US Geological Sur-vey creepmeter.

Dodge et al. (1996) found that foreshocks ofthe Landers EQ provide clear evidence for anextended aseismic nucleation process beforesome EQs. Harris (1998) came to the conclu-sion that aseismic creep controls the ruptureprocess and the creep process is the key idea ofEQ instability models. Wesson and Nicholson(1988) emphasized the importance of the creeploading mechanism and suggested, in particu-

lar, that the Landers foreshock sequence mayhave been driven by aseismic creep. Johnstonand Linde (2002) reviewed the surface observa-tions of episodic displacements on active faultsand explained unsuccessful attempts to detectany indications of exponentially increasingstrain (tertiary creep or slip weakening) by thefact that the scale of the initial failure must besmall compared to the eventual rupture zone.

Evidently, the interpretation of the experi-mental data is complicated due to such factorsas the specific role of the surface layer or themosaic pattern of the stress field. A significantexample is the fact that no precursors wererecorded by the strainmeters of the Pinyon FlatObservatory (PFO) at a distance of only 70 kmfrom the epicenter of the Landers EQ (M = 7.3)(Wyatt et al., 1994; Abercrombie et al., 1995).The PFO and epicenter were located on the op-posite sides of the San Andreas Fault. Accord-ing to Mount et al. (1992), the San AndreasFault Zone can be considered a weak fault,which in extreme case can be thought of as afree surface and acts as a stress refractor. Wes-son et al. (1988) consider the California crustnot as an elastic half-space but as a mosaic ofrelatively rigid elastic plates or blocks separat-ed by relatively weak fault zones (this interpre-tation is similar to the model proposed by Bil-ham and Beavan, 1979).

1.1. Mosaic pattern of the stress field

Water level anomalies during the LandersEQ can serve as a convincing example of a mo-saic structure of the strain field. In three of fourboreholes in the PFO area, the water leveldropped by 0.15 to 0.3 m at the time of the Lan-ders event. In the fourth well, located at a dis-tance of 100-250 m from the other three, thewater level dropped over 5 m (Wyatt et al.,1994); i.e. observations made at points a fewhundred meters apart differ by more than 10times! It is noteworthy in this context that, ac-cording to Mogi (1981), many precursors tendto appear at singular points of tectonic struc-tures. These facts, as well as many other data,confirm the mosaic pattern of the strain fielddistribution associated with seismic events. It is

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Slip weakening, strain and short-term preseismic disturbances

evident that a uniform model of the crust is gen-erally inadequate.

Comparing various seismic regions, Mogi(1981) characterized Central California as a ho-mogeneous straight fault zone without any ap-preciable precursors, in contrast to Japan as a re-gion of complex structures of small dimensionsproducing noticeable precursors in relativelysmall areas and some parts of China as a regionof complex continental structures of large di-mensions where remarkable precursors can beobserved in large areas. This is consistent withlaboratory experiments showing that the moreinhomogeneous the specimen, the earlier thestage at which fracture precursors arise andagrees with the conclusion of Dodge et al.,(1996) that the fault zone heterogeneity is an im-portant factor controlling the number of fore-shocks (i.e. the stronger the heterogeneity, thegreater the number of foreshocks).

A complicated mosaic pattern of the strainfield was revealed before the North Palm Springs(M = 5.6) EQ of 1986 in California. No anom-alies were recorded at the Pinon Flat strain Ob-servatory (∼ 33 km from the epicenter) and bythe PUBS dilatometer (∼ 95 km from the epicen-ter), whereas the XWR creepmeter (∼ 103 kmfrom the epicenter and ∼ 10 km from the PUBSdilatometer) showed a sharp change in the slopeof the creep records that leads the water level ex-cursion recorded by the Phelan water level mon-itor (∼ 65 km from epicenter). Ben-Zion et al.(1990) considered these records as a possiblepreseismic signal. However, during the LandersEQ of June 28, 1992 (the largest in Californiaduring the last 40 years; Mw 7.3), the borehole di-lational strainmeter PUBS (a sensitivity of lessthan a nanostrain) installed at the site about 100km from 85 km-long Landers rupture and 135km from the epicenter exhibited no indicationsof precursive strain at this location due to eitherprecursive slip on the Landers rupture or localslip on the San Andreas (Johnston et al., 1994).

1.2. Short-term precursors at teleseismicdistances

The mosaic pattern of the strain field createsa specific obstacle to the detection of precurso-

ry events and determination of the spatial scaleof the preparation zone. Obviously, the size ofthe zone largely depends on the EQ magnitude.The first results on anomalous pre-seismic tiltsat greater distances (Tomaschek, 1955) cannotbe regarded as adequate because of imperfec-tions of the instruments used at that time. How-ever, these data cannot be ignored because sim-ilar reports on precursors of various types rec-orded at great distances were published later.Wideman and Major (1967) recorded strainsteps in Colorado at great epicentral distances.Lomnitz et al. (1978) reported a radon anomalypreceding Tangshan event (M = 7.8) and rec-orded at a distance of 1800 km. Fleischer(1981) reviewed the geochemical responses todistant EQs and proposed a dislocation model.Preseismic anomalies were recorded by resis-tivity variometers at distances of more than1000 km (Rikitake 1976; Yamazaki, 1983; Rik-itake and Yamazaki, 1985). Five observatoriesin the United States recorded an EM emissionevent a few days before the Great Chilean (M == 8.5) EQ of 1960 at epicentral distances ofabout 10 000 km (Warwick et al., 1982). Basedon satellite measurements Tramutoli et al. (2001)identified thermal infrared (TIR) anomalous ef-fects at a distance of 400 km from the epicenterof the M = 6.9 November 23, 1980 EQ in Italy.

Teleseismic effects are recognizable fromrecords of strong EQs. However, it is more ap-propriate to analyze these effects in relative(r/R*), rather than absolute distances (normal-ized to the radius of preparation zone R*), i.e. tocompare geometrically similar EQs of differentmagnitudes. Then, high- and low-energy seis-mic events can be analyzed in the same terms.This paper is an attempt to consider some con-sequences of a scenario modeling the finalstage of EQ nucleation based on the slip weak-ening mechanism.

2. Spatial scale of short-term seismicprecursors

The problems of the ultimate distance ofshort-lived precursor detection have been exten-sively studied and several empirical and theoret-ical formulas have been proposed for the esti-

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Vitali A. Morgounov

mation of the size (radius R*) of the preparationzone. Figure 1 illustrates the results of studyingthe relation R*(M) of various geophysical pa-rameters (resistivity, geochemical and electro-magnetic characteristics, water level, magneticfield, strain, tidal variations, etc.) within a widerange of the EQ energy (4 < M < 8).

Wideman and Major (1967) made an at-tempt to find the response of the Earth’s crustto the nucleation process at teleseismic dis-tances; they derived the relation for the magni-tude dependence R*(M), (fig. 1) of strain steps

Radius of preparation zone from Magnitude of EQ

1

1.5

2

2.5

3

3.5

4

4.5

4 5 6 7 8

M

Log R*

Wideman et al. (1967),(strain)

Rikitake (1988),(complex)

Yamazaki (1977),(resist)Ulomov (1987),(geochem, magn. field)

Yoshino (1992),(EME)Morgounov (2001),(EM complex)

Fig. 1. Log R*-M relationships for precursory anomalies in various fields: strain steps (Wideman et al., 1967);a summary of all available precursory data including strain, tilt, hydrogeochemical variations, microearthquakes,magnetic field, telluric currents, electromagnetic emission, and electrical resistivity (Rikitake, 1988); variome-ter data on the electrical resistivity (Yamazaki, 1977); geochemical and magnetic fields (Ulomov, 1987); elec-tromagnetic emission (Yoshino et al., 1992); and summarized electromagnetic data (Morgounov, 2001).

measured in Colorado during distant EQs (3.5 << M < 8.5).

The results by Wideman and Major werecriticized from various points of view and weregenerally considered erroneous in spite of thecorroboration their results by other authors(Berger, 1973; Yamada, 1973). Note howeverthat, among tens of cases listed in the catalog ofstrain steps collected by Yamada (1973), at leastfive were recorded few hours before EQs, andRikitake (1976) concluded that these events«were clearly distinct as precursors».

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Slip weakening, strain and short-term preseismic disturbances

The solution of this old seismological enig-ma is beyond the scope of the present paper.Wideman’s relation is plotted in the figure todemonstrate that this debatable relation givesdistances of the same order of magnitude as thevalues obtained by other geophysical methodsand apparently gives an upper limit of the pre-cursor detection range. Wideman and Major es-timated the amplitude of the observed strain atε ∼ 10− 9. According to Rikitake et al. (1985),such a deformation could be responsible for thegeneration of precursory anomalies in the re-sistance of the upper layers of the crust. Thisvalue was used in our calculations.

The results summarized in fig. 1 suggestthat the variations in different parameters havethe same origin, namely, the activation of thestress-strain state of the crust. Moreover, thesimilarity between the relations obtained for theso-called «propagating» fields, such as the elec-tromagnetic emission (EME) in the Earth-iono-sphere waveguide, and the «nonpropagating»fields (radon, electrical resistivity of rocks,groundwater level, etc.) is consistent with theidea that EM precursor sources (mechanical-to-electric energy converters) are located near theobservation point in the skin-layer of the crust(Morgounov, 1985, 1991, 1995).

3. Short-term precursors and slipweakening

Earthquake precursors recorded on theEarth’s surface are an indirect response of up-per crust rocks to the strain evolution in the fo-cal zone. Geological scales of the processes inthe crust and its subcritical stress state requirethat the actual rheology of rocks, characterizedby clearly expressed ductile properties, be tak-en into account.

At the final stage of the EQ nucleationprocess, the conditions in the focal zone are fa-vorable for the development of tertiary creepcharacterized by well-pronounced self-regula-tion properties. An accelerated inelastic defor-mation in the focal volume, eventually resultsin a rupture whose dimension is controlled byits accumulated elastic energy (M). Beginningfrom a certain time of plastic flow, strains and

strain rates in surface layers attain values thatcan be detected by geophysical instruments.Many authors considered slip weakening (orcreep) as a possible mechanism of EQ genera-tion (Benioff, 1951; Kranz and Scholz, 1977;Lockner and Byerlee, 1978). Rice and Rudnic-ki (1979) defined the precursor time as the du-ration of «self-maintained accelerating creep.»

It is evident that a real rock massif is notuniform. A fundamental property of the geo-physical medium is the fact that it consists of asystem of interacting heterogeneities (blocksand fractures) that constitute a strictly defined,discrete hierarchy of sizes of its elements. Dueto the inadequate knowledge of the real crustalstructure, unknown initial conditions of the de-formation process, and the vague mechanism ofEQ nucleation, an exact solution of the problemcannot be obtained at present. A deterministicdescription of such a medium is a problem un-solvable even statistically. Therefore, the medi-um should be characterized by generalized pa-rameters in accordance with its scale factors(Sadovsky et al., 1987). From this point ofview, the heterogeneity of a rock massif doesnot seem to be an insuperable obstacle for theprognostic tasks.

Therefore, we use the assumption of a for-mally uniform half-space, and nominal strainvalue ε (t, r) keeping in mind that the strain val-ue is a qualitative (measured on the order ofmagnitude) characteristic of the mosaic second-ary response of local dislocations to the gener-al quasi-elastic large-scale strain field. It meetsthe assumption of Benioff (1954) that elasticstresses can have a planetary scale. He substan-tiated the assumption by the regularity that thestrongest earthquakes occur successively in dif-ferent parts of the world (Turkey, Taiwan, andGreece: 1999; Algeria, Philippines, Taiwan, andJapan: May, 2003; etc.).

To describe phenomenologically the gener-al relations between spatial and temporal scalesof the nucleation, we make the following addi-tional assumptions: a) creep mechanism; b) anr− 3 attenuation of the stress-strain field; and c)calculations in terms of the normalized distancers /R* for the purpose of obtaining general regu-larities applicable to EQs of various magni-tudes. Given constant loading conditions (F =

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138

Vitali A. Morgounov

= const), the tertiary creep in rocks of the focalzone can be described by the power function ofrelative strain εf = ∆l/l

t tf f

m

f

0= +f f f∆]g (3.1)

where εf (t) and ε f0 are the current and initial

strain values in the focal zone, t is time, and ∆εf

is the strain increment.The deformed volume can be divided into

two at least main parts (fig. 2): the nucleation(focal) zone of radius rf in which the nonlinearcreep process (governed by eq. (3.1)) developsand the surrounding rocks with quasi-elasticproperties described by the equation

r r r rn

1 2 2 1=f f^ ^ _h h i (3.2)

where r1 and r2 are the distances from thesource to the points of measurement.

Taking into account the rheology of thereal medium, the term «quasi-elastic sur-rounding medium» means here that a rockmass is able to transmit elastic stressesthrough the preparation region but possessesinelastic properties giving rise to surface pre-cursors such as anomalous disturbances inelectrical resistivity (ρ), electromagneticemission (EME), Acoustic Emission (AE),and others. Given constant loading condi-tions, the following notation is used below(fig. 3): t f

e and tse, the time of EQ in the

source (f) and at the surface (s); ts0, the onset

time moment of the anomaly at the surface;tf

0, the reference time of inelastic deforma-tions in the source; τ, the duration of theanomalous surface signal; T, the duration ofthe tertiary creep in the focal zone.

Thus, we have

t ts

e

s

0= -x and .T t tf

e

f

0= - (3.3)

Taking, in the first approximation, tfe= ts

e andsetting tf

0 = 0, we obtain

.T ts

0= -x (3.4)

Also, the following notation is used below: εf0

and εfe, initial and final strain values in the focal

zone; εs0 , initial measurable strain (or strain-de-

Fig. 2. A schematic layout of the earthquake nucle-ation zone: R* is the ultimate distance of the prepara-tion zone; rf is the radius of the seismic source; re is theepicentral distance from the point of measurement; rs isthe hypocentral distance, and V is the source volume.

Fig. 3. Diagram illustrating the tertiary creep stagein the focal zone and at the Earth’s surface. The fol-lowing notation is used: tf

e and tse, time moments of an

earthquake in the source ( f ) and at the surface (s); ts0,

time moment of the anomaly appearance at the sur-face; tf

0, reference time of inelastic deformations in thesource; τ, duration of the anomalous surface signal; T,duration of the tertiary creep in the source zone; εf

0

and εfe, initial and final strain values in the source

zone; εs0, initial surface strain at which anomalies of

geophysical parameters can be recorded; rf, character-istic size of the source or the radius of the focal zone;rs, hypocentral distance.

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139

Slip weakening, strain and short-term preseismic disturbances

pendent parameter) at the surface; rf, character-istic size of the source (the radius of the focalzone); rs, hypocentral distance (rs ≥ rf).

We have εf0 = ε0 at the time t = 0 and εf

e == ∆εfT m + ε0 at t = T. Equation (3.1) yields

.t t Tf f

em

0 0= - +f f f f] _ _g i i (3.5)

According to (3.2) and (3.5), the strain at thesurface (r = rs) at its initial time t = ts

0 is foundfrom the conditions

, .t r t T r rs s s f

e

s

m

f s

n0 0

0

0

0= - +f f f f^ _ _ _h i i i9 C (3.6)

Then,

.t r r Ts s s f

nm

f

em

0 0

0 0

11

= - -f f f f-

_ _i i9 C& 0 (3.7)

The substitution of (3.7) into (3.4) gives the fol-lowing expression for the precursor duration τdepending on the epicentral distance and EQenergy

.T= - r rs s f

n

f

em

0

0 0

11

- -x f f f f-

1 _a _i k i: D' 1 (3.8)

4. Ultimate distance of precursor detection

The condition τ = 0 determines the ultimatedistance rs

max= R* at which the precursor can bedetected. This condition and eq. (3.8) yield

.R rf f

e

s

n0

1)= f f_ i (4.1)

The duration of inelastic deformation in thesource is controlled by the initial strain εf

0,which depend on the sensitivity of the methodin use and is actually a reference value. Ac-cording to estimates given in (Yamazaki, 1977,1983; Rikitake et al., 1985), preseismic anom-alies recorded by an electrical resistivity vari-ometer comply with a surface strain not small-er than εs

0 = 10– 9. This value is taken here as aninitial value of the tertiary creep process in thefocal zone.

This provides certain constraints on the du-ration of the deformation process in the source.Taking into account the level of natural noiseand the sensitivity of the method in use and

Dambara’s (1966) way to evaluate the size ofthe focal zone rf, we assume εf

0= εs0 .

Numerical order-of-magnitude estimatescan be made as follows. According to variousauthors (in particular, Rikitake, 1976), the rup-ture of rocks occurs at εf

e ∼ 10− 4. Equation (4.1)at n = 3 gives R*/rf ∼ 50. The source size rf be-ing strongly dependent on the magnitude M,numerical estimates of rf can be derived fromthe formula (Dambara, 1966)

.2 27- km .r .

f

M0 5= 10] g (4.2)

Using the statistics of data for geophysical pre-cursors of 13 types, Rikitake (1988) obtained ageneral empirical formula relating the maxi-mum distances D (i.e. radius of the earthquakepreparation zone, D = R*) within which the pre-cursors are detectable and the earthquake mag-nitude: M = − 0.87 + 2.6 1og D. Dividing thisrelation by eq. (4.2), we obtain R*/rf = 138, 106,81, and 62 for the respective magnitudes M = 4,5, 6, and 7, with the average value being R*/rf ∼∼ 96 for M = 4-7. Consequently, the maximumrange of the precursor detection can be approx-imately hundred times as large as the sourcesize.

Data of Yamazaki’s variometer (Rikitakeand Yamazaki, 1985) provide the following es-timates for the ultimate normalized distances ofa short-term precursor (see no. 5, 8, and 21 intable I, and eq. (4.2)): rs / rf = 85.7, 92.7 and86.5. Therefore, the estimate R*/rf ∼ 50, ob-tained above for εf

e ∼ 10− 4 and εs0 ∼ 10− 9, is in-

consistent with the experimental data. Thus, thevalue R*/ rf ∼102 is more adequate to in situmeasurements

.10+=3

rf f

e

s

0 2) f f1

R _ i (4.3)

Hence, we have (εfe/εs

0 ) ∼ 106. This can increasethe known estimates of the in situ ultimatestrain to the value εf

e ∼ 10− 3, which is consistentwith data of direct measurements of the break-ing strain in rocks under laboratory conditions(Kasahara, 1981). (Note that the value R*/rf ∼∼ 102 with εf

e∼ 10− 4 is consistent with εs0 ∼ 10−10).

Thus, the value R*/rf ∼ 102 complies with dataof the in situ resistivity observations by Ya-mazaki. Then, considering eqs. (4.2) and (4.3),

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Vitali A. Morgounov

Table I. 30 earthquakes that were preceded by preseismic resistivity variations (Rikitake and Yamazaki, 1985)and their calculated parameters. Note: M – magnitude; h – depth; re – epicentral distance; rs – hypocentral dis-tance; τ – precursor duration; R* – maximum size (radius) of the preparation zone; rf – characteristic size (ra-dius) of the focal zone; rs/R* – normalized hypocentral distance.

No. Data M h (km) re (km) rs (km) τ (hour) R* (km) rs/R* rf (km)

1 16.05.1968 7.9 0 935 935 2 4786 0.195 47.9

2 01.07.1968 6.1 50 127 136 3-4 h 45 min 603 0.226 06.0

3 12.08.1969 7.8 30 1094 1094 4 4266 0.330 42.7

4 09.09.1969 6.6 0 320 320 2 h 15 min 1072 0.299 10.7

5 06.01.1971 5.5 40 256 259 0.5 302 0.858 03.0

6 23.07.1971 5.3 10 100 100 5 240 0.417 02.4

7 02.08.1971 7.0 60 1004 1005 7 1698 0.592 01.7

8 12.08.1971 4.8 60 110 125 0.5 135 0.927 01.35

9 06.10.1972 5.5 30 174 177 0.5 302 0.586 03.02

10 04.12.1972 7.2 50 337 341 2-7 2138 0.159 21.4

11 27.03.1973 4.9 60 66 89 3 151 0.588 01.51

12 30.09.1973 5.9 50 147 155 1 479 0.324 04.79

13 03.03.1974 6.1 60 160 171 3 603 0.284 06.03

14 09.05.1974 6.9 10 144 144 4 1514 0.095 15.14

15 27.09.1974 6.4 60 311 317 2-10 851 0.372 08.51

16 16.10.1974 6.1 40 215 219 2 603 0.363 06.03

17 30.10.1974 7.6 420 673 792 4-9 3388 0.234 33.90

18 02.04.1975 5.8 40 194 198 5-11 427 0.464 04.27

19 20.02.1978 6.7 50 461 464 3.5 1202 0.386 12.00

20 07.04.1978 6.1 30 160 163 1 603 0.271 06.03

21 13.08.1978 4.7 80 67 104 1 h 15 min 120 0.865 01.20

22 03.12.1978 5.4 20 50 54 5.5 269 0.201 02.69

23 11.07.1979 5.9 40 223 227 1 479 0.474 04.79

24 28.10.1979 5.5 90 104 138 6 302 0.457 03.02

25 12.03.1980 5.6 80 85 117 1 339 0.345 03.39

26 08.05.1980 5.7 60 104 120 6 h 45 min 380 0.316 03.80

27 29.06.1980 6.7 10 45 46 0.5-5 1202 0.038 12.00

28 25.09.1980 6.1 80 69 106 1 603 0.176 06.03

29 21.02.1982 6.7 0 230 230 8 1202 0.191 12.00

30 23.07.1982 7.0 10 241 241 3.5 1698 0.142 17.00

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the following formula can be obtained for esti-mating the ultimate radius of the strain sensitiv-ity (preparation) zone (fig. 1):

.0 27- km .R . M0 5)= 10] g (4.4)

For example, eq. (4.4) yields R* ∼ 1700 km forM = 7 and R* ∼ 5400 km for M = 8; i.e. thestrain-sensitivity zone can extend over consid-erable distances from the epicenter. This ap-proach explains, in particular, the long-rangeeffects of strain-related precursors, including«strange» (in terms of Rikitake and Yamazaki,1985) precursors in rocks recorded at epicentraldistances longer than 103 km.

The stereotypes associated with the proper-ty of EM waves to propagate over large dis-tances dominated the early model concepts ofthe EM precursor range. However, the exam-ples presented above show that the waveguidepropagation model of an EM signal fails to ac-count for the long-range effect of strain-relatedresistivity precursors recorded at epicentral dis-tances of up to a thousand kilometers, and thesame is true of geochemical, hydrodynamic,and other precursory phenomena (Lomnitz andLomnitz, 1978; Fleischer, 1981; Warwick et al.,1982; Tramutoli et al., 2001).

In particular, the preparation zone radius ofthe Chilean earthquake of 1960 (M = 8.5) is es-timated at R* ∼ 9550 km according to (4.4).This agrees with the data of Warwick et al.

(1982), who recorded radiowave precursors ofthis earthquake at distances of up to 104 km (theformula of Rikitake (1988) gives R* ∼ 4075 kmfor this magnitude, fig. 1).

Note once more that Tomaschek (1955) re-ported special tilts of about 0.1 s that wererecorded in Japan at an epicentral distance of∼ 1800 km 20 h before the Taiwan earthquakeof M = 7. In this case, the relation (4.4) gives asimilar value for the ultimate radius of prepara-tion zone (∼ 1700 km). Is this coincidence acci-dental? The answer requires additional in situdata in order to perform independent detailedanalysis.

Such EQ parameters as the magnitude,depth and epicentral distance allow the estima-tion of the nominal strain value at an observa-tion point. At the epicentral distance rs, eqs.(4.1) and (4.2) yield (εf

e =10− 3)

.9 81- .r.

s

M

s

1 5 3=f -10] g (4.5)

Table II presents the values R* and εs estimatedby eqs. (4.4) and (4.5). Rikitake (1976) report-ed preseismic strain anomalies that enabledsuch estimation (case no. 1, 2, and 3 in table II).Case no. 4 illustrates the estimated strain valueεs at the observation point and the value of R* inthe case of the preseismic EM event recordedby Warwick et al. (1982) at five US stations be-fore the Great Chilean earthquake of May 22,1960 at distances of up to 10 000 km. Event no.

Table II. Examples of calculated values εs, R*, and rs/R* in comparison with parameters of some earthquakesthat were preceded by precursory variations.

No. M ∆ km h km ε (in situ) ε (calcul.) R* km rs/R* References

1 7.0 94 70 2.5 ⋅ 10−6 3.0 ⋅10−6 1700 0.068 Rikitake (1976)

2 6.0 250 N 4.0 ⋅ 10−8 1.0 ⋅10−8 537 0.46 Rikitake (1976)

3 3.0 5 N 3.0 ⋅ 10−8 3.9 ⋅10−8 17 0.29 Rikitake (1976)

4 8.5 10 000 N 0.9 ⋅10−9 9549 ∼1 Warwick (1982)

5 6.6 368 16 1.7 ⋅10−8 1071 0.34 Eftaxias (2002)

6 5.9 359 N 2.0 ⋅10−9 478 0.75 Eftaxias (2002)

7 6.5 192 N 1.2 ⋅10−7 955 0.20 Eftaxias (2002)

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5, 6 and 7 represent a few recent EQs in Greece,including the destructive earthquake of Septem-ber 7, 1999 (M = 5.9) in Athens. A distinct pre-seismic EME signal was recorded by Eftaxiaset al. (2002) at a distance of ∼ 370 km (eventno. 6 is yielded a nearly ultimate value of thenormalized radius, rs/R* = 0.75).

Table II shows that all precursors (includingthose recorded at great distances) were ob-served within the preparation zone of radius R*

eq. (4.4). Obviously, the uncertainty of the pre-cursor detection increases with distances ap-proaching the ultimate value (only 10% of allthe events, table I). It is natural that more reli-able detection of precursors can be expected

closer to the epicentral zone where the strainvalues are higher. For example, in the case ofε ∼ 10− 6 the «effective» radius of the prepara-tion zone eff

)R is determined by the expression

.km10 . .M0 5 1 27eff

) -R = ] g (4.6)

5. Creep duration and normalizedprecursor time

Undoubtedly, the determination of main in-variant relationships in the space-time distribu-tion of short-term precursors is a key point insolving the prediction problem. Published data

Fig. 4a,b. Synchronous development of anomalous disturbances in the variometer record of electrical resistiv-ity and EME in Japan at points 50 km apart one from the other and 70 km apart from the epicenter. a) Exampleof an electrical resistivity variation before an M = 6.1 earthquake (Kanto area) at the epicentral distance re = 69km (September 25, 1980). The symbol «P» and the dotted arrow indicate the onset of the anomaly. The solid ar-row indicates the onset moment of the earthquake. The time scale is shown in the top left corner (Yamazaki,1983). b) EME level at a frequency of 81 kHz from observations at the Suginami seismic station near Tokyo be-fore the same earthquake (Gokhberg et al., 1982).

a

b

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are mainly episodic measurements related to in-dividual seismic events. In this context, well-documented long-term data recorded by Ya-mazaki’s variometer (ρ) over 30 years (1968-1998) provide a good opportunity for testingthe model described above.

Yamazaki (1977, 1983) subdivided seismicanomalies into preseismic and coseismic types.The data on preseismic anomalies are still thesubject of vivid discussions or mistrust. Ya-mazaki (1977, 1983) and Rikitake and Yamaza-ki (1985) presented 14-year data (1968-1982)in the form of records of preseismic ρ anom-alies for 30 EQs with magnitudes of 4.7-7.9 thatoccurred in the region; they also presented theduration of the anomalies, their relative ampli-tudes, epicentral distances, and focal depths.

Yoshino et al. (1998) questioned the relia-bility of these data because, in their opinion, thesuccessive records of 1982-1997 revealed noprecursors. This obvious contradiction requiresan explanation.

Undoubtedly, the preseismic anomaly pre-sented in fig. 4a (Yamazaki, 1983) is debatablefrom the standpoint of an independent expert.However, it is important to note that this particu-lar «questionable» anomaly recorded at the Abu-ratsubo Observatory (Yamazaki, 1983) coincidesin the times of arrival, duration, and completionwith the EME anomaly independently recordedat the Suginami Observatory (Yoshino et al.,1992) before the same seismic event (fig. 4b).Comparative analysis of published data revealsseveral coincidences of this kind.

After the first EME measurements made byMorgounov, Yoshino and Tomizawa in 1980 inJapan (Gokhberg et al., 1982), Yoshino et al.(1992) published the statistics of EME precur-sors over the period from 1985 through 1990.The joint analysis of data published in Yoshinoet al. (1992, 1998) showed that at least tenanomalous resistivity disturbances recorded inthis period coincided in time with EME precur-sors (Yoshino et al., 1992), and these coinci-dences cannot be considered accidental. In oth-er words, the resistivity anomalies reported inYamazaki (1977, 1983), Rikitake and Yamazaki(1985) and Rikitake (1988) are actually precur-sory anomalies due to the earthquake nucleationprocess and deserve a more detailed analysis.

Similar to precursory anomalies of othertypes, the duration of ρ precursors is invariablyirregular as a function of the epicentral distance.Figure 5a illustrates this with 30 cases recordedin 14 years (see table I) (Rikitake et al., 1985).In order to estimate the minimum duration ofthe rock failure process in the focal zone, onlythe anomalies that developed monotonically pri-or to an EQ were chosen from table I.

By analogy with the notion of «canonical»creep, which is a deformation process gradual-ly developing under a constant load, we intro-duce the term «canonical» for a precursor thatcontinuously develops until earthquake onset.Nearly 80% of all cases from table I meet thiscondition. In six cases (20%), anomalous dis-turbances ended before the earthquake onset(no. 7, 10, 15, 17, 18, and 26 in table I). Thesecases are shown as stars in fig. 5a.

As is evident from the diagram (fig. 5b)showing the distribution of the duration times of«canonical» precursors as a function of thehypocentral distance rs normalized to the radiusof preparation zone R* (eq. (4.4)), the chaotic setof points in fig. 5a is transformed into a group ofpoints bounded by the straight line fitting themaximum duration values τmax of canonical pre-cursors in ρ recorded at various normalized dis-tances rs/R* from epicenter (fig. 5b).

These maximum values are of particularinterest. The precursor durations τ that aresmaller than the critical value τmax (the pointsbelow the straight line in fig. 5b) can be natu-rally interpreted in terms of an indistinct, in-adequate manifestation of precursors due tothe mosaic space-time pattern of the deforma-tions, nonuniformity of the stress field, vary-ing strain sensitivity at the observation point,or specific features of a particular earthquakemechanism.

The regression line approximating the maxi-mum values τmax (no. 6, 21, 24, and 29 in tableI; open circles in fig. 5b) is τ =9.83−9.88 (rs/R*)with λ2=0.96. Within a reasonable accuracy, thisgives the following empirical formula:

)T r Rs0,x 1 -_ i (5.1)

where T0 ∼ 10 h.

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Thus, one can evaluate empirically the durationof slip stage of rocks in the source. When dis-tance to the focal zone decreases, i.e. at rs→rf,we have τ→T0. Data by Yamazaki (1977, 1983)yield T0 = 9.885 ≅ 10 h as an empirical estimateof the ductile failure duration in the source. As

seen from fig. 5b, four precursory events (only∼ 13% of all cases) were observed in the imme-diate vicinity of the normalized ultimate epi-central distances.

Empirical formula (5.1) complies with theo-retical formula (3.8). Since εf

e/εs0 ≅ 105−106 >>1

1.25

56 t =8

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1.2

1.5 1.7 1.9 2.1 2.3 2.5 2.7 2.9 3.1 3.3log rs

log x (hours)

6

8

5

1.25

9.88.6

9.311.05

t = 9.83 - 9.88 (rs/R*)R2 = 0.96

0

2

4

6

8

10

12

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1rs/R*

x (hour)

Fig. 5a,b. a) Time of the electrical resistivity precursor (logτ) versus the logarithm of the hypocentral distance(logrs) (Rikitake and Yamazaki 1985). The triangles and circles are precursors that continuously developed un-til the earthquake onset (i.e. «canonical» cases). The stars are precursors that terminated before an earthquake(no. 7, 10, 15, 17, 18, and 26). The circles indicate the events with τmax in terms of the normalized distance rs /R*.The numbers near circles indicate the duration of the precursors in hours. b) Duration of a precursor and a fail-ure process in the focal zone as a function of the hypocentral distance normalized to the size of preparation zoneR*. The triangles and open circles indicate the «canonical» cases (see table I). Open circles (no. 6, 21, 24, and29) indicate the events with τmax estimated in terms of the normalized distance rs /R*. Solid circles are durationtimes of the fracture process in the source calculated from eq. (5.1) for the events with the precursors shown asopen circles.

a

b

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Slip weakening, strain and short-term preseismic disturbances

and m = n = 3, we have (rs / rf)3 >>1, and thisagrees with the in situ observed distances forwhich rs /rf > 2-3. Substitution of these valuesinto (3.8) gives formula (5.1).

The agreement between theoretical formula(3.8) and empirical formula (5.1) suggests thatthe process of tertiary creep in form (3.1) can beconsidered, to a first approximation, as a mech-anism responsible for the fracture of the sourcerock mass. It also confirms the validity of Ya-mazaki’s precursors (Yamazaki, 1983; Rikitakeet al., 1985).

Equations (3.8) and (5.1) can be transform-ed into the form suitable for estimating the min-imum time of the ductile failure T0 in the source(rs ≠ R*)

) .T r Rs

1

= x-

1 -_ i (5.2)

For cases 6, 21, 24, and 29 (table I; solid circlesin fig. 5b), we obtain T0 = 9.8, 8.6, 11, and 9.3,respectively.

The dotted line in fig. 5b is the regressionline approximating the T0 values for τmax at dif-ferent normalized distances. This regressionline indicates that the rate of creep at its finalstage apparently has a limiting value (T0 ∼ 10 h)that is independent of the earthquake magnitude(at lease in the range M = 4.7-6.7 of the cases 6,21, 24, and 29).

Naturally, the T0 value is determined by theonset time tf

0 of the plastic deformation that inturn depends on the sensitivity of the method εs

0.Therefore, the duration of the fracture monitoringcan generally be extended with the use of moreperfect instrumentation. It is obvious that thereexists a natural threshold of detection of seismo-genic anomalies due to natural noises (tides, tem-perature, local geodynamic processes, etc.).

6. Discussion

The agreement between the empirical (5.1)and theoretical (3.8) relations is remarkable andsuggests that the initial assumption on the creepmechanism can be consistent with the naturalprocess, at least, as regards the events consid-ered. The conclusion on the invariance of T0

complies with the known evidence on thesmallness of the scale factor during plastic de-formations (McClintock, 1976). Studying thescale factor in rocks under laboratory condi-tions, Mogi (1988) came to the same conclu-sion that the dimension effect on the strength ofrock samples is insignificant.

Several authors noted that, with the energiesof earthquakes covering a range of a few ordersof magnitude, the amplitudes of variations inprecursors vary insignificantly, and this sup-porting the fundamental hypothesis of Tsuboi(1956), according to which a rock volume ischaracterized by an ultimate strength, implyingthat the ratio of elastic energy to the seismicsource volume is a global characteristic and, ina first approximation, is independent of rockproperties. The inference of the present workstating that T0 is invariant, i.e. that the minimumtime of the creep-type failure (under a quasi-constant load) in the seismic source (eq. (3.7))is independent of the magnitude (M), is alsoconsistent with the Tsuboi hypothesis and ex-tends the latter to the duration of the ductilefailure stage.

Within the framework of the tertiary creepunder constant load conditions, the strain rateincreases up to the fracture value. In practice,an earthquake can occur during the period ofrelatively smooth development of an anomaly,with no intensity peaks preceding the mainshock. Moreover, many earthquakes occur dur-ing the decay period of a bay-like anomalousdisturbance or after its completion, during theso-called quiescence period of the signal. Inthis case, the usual model of avalanche creepunder a constant load cannot serve as a directanalogy of the fracture development.

The uniaxial loading of a sample under lab-oratory conditions differs from in situ condi-tions in that the load applied to an in situ de-formed rock mass does not remain constantduring the process of plastic flow but decreasesbecause due to considerable creep strain and thefact that this process proceeds in the environ-ment of surrounding rocks contributing to theload redistribution.

The mechanism of creep failure under loadrelaxation conditions provides an explanationfor various precursory signatures, as well as

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Vitali A. Morgounov

signal-quiescence earthquakes and precursorsof the oscillatory type. The deceleration of thefailure process, i.e. an increase in the precursorduration (several hours, a few days) and signalinstability degree, can be interpreted in terms ofthe mechanism of stress relaxation during thedeformation of the focal zone volume (the re-laxation creep model: Morgounov, 2001).Events 7, 10, 15, 17, 18, and 26 (see table I),which have been excluded from the analysis un-der the F=const condition, have features char-acteristic of the failure of the relaxation type.The generation of anomalous disturbances un-accompanied by an earthquake (silent, or slowearthquakes) seems to be a natural element ofthe nucleation process (false alarm) and can beregarded as a consequence of the relaxationcreep mechanism. The quiescent phase of re-laxation creep could be the reason why preseis-mic anomalies could not be detected whenmeasurements were made immediately (a fewminutes or hours) before a shock.

The creep mechanism is effective underconditions of either pure compression (exten-sion) or pure shear (Benioff, 1951). Therefore,this model can be applied to the results obtainedin seismically active regions dominated byshear deformations (the San Andreas and Ana-tolian faults), subduction zones (Kuril-Kam-chatka and Japan islands), or continental areasof China subjected to compression. The valueT0∼10 h was obtained using data from the sub-duction zone of Japan. Analysis of experimen-tal data from other regions can provide con-straints on the variability of this value.

7. Conclusions

Johnston and Linder (2002) noted that ob-servations of crustal strain in high sensitivityzones near large earthquakes during the finalstages before the rupture are unfortunatelyrare, and the knowledge of the timescale andmechanics of failure is therefore limited. Thisis largely due to a relatively low recurrence ofearthquakes and sparseness of adequate instru-mental networks.

The discrepancy between the results of thestrain measurements, and the other geophysical

disciplines, and expected theoretical values sug-gests that blocks can concentrate regional stress-es at a relatively small portion of their perime-ters. Then, the average stress on block bound-aries can be relatively low. Thus, the observationof aseismic deformation preceding earthquakesis consistent with the block tectonics (Leary etal., 1984). Such secondary local mosaic effectscould explain why direct stress measurements ata given point have a low probability to detectpreseismic anomalies. In other words, this prob-ability depends on the number of stations and/orthe detection of a sensitive point of stress con-centration.

From this point of view, taking into accountelements of SOC phenomena, the problem of theepicenter location seems to be more unreliablethan the determination of the time interval (fromthe similarity of temporal scales) and the magni-tude (from spatial scales) of the pending shock.Exact calculations of the strain of a impendingearthquake in such a medium are problematic.Nevertheless, the calculations in a formal uni-form half-space can be useful for the qualitativeestimation of the possible (maximal) secondarymosaic response of a fractal rock mass near thesurface to the seismogenic strain evolution in thenucleation volume.

Thus, the main problem is not the absence ofprecursory anomalies (they do exist!) but thenonadequate response of a fractal crust to thesource fracture process. Does this mean the in-solvability of the prediction task? The responseof local dislocations to a field of a larger scale re-flects, to an extent, the general nucleation creepprocess in the source. Under favorable condi-tions, the measurements mirror the nucleationprocess in the source that resulted in successfulpredictions in the past (Raleygh et al., 1977; Huiet al., 1997).

A considerable increase in the strain rate be-fore the failure significantly raises the signal-to-noise ratio, which is beneficial to the identifica-tion of short-lived precursors and provides an op-portunity to explain published data on preseis-mic anomalous disturbances recorded at ultimate(teleseismic) distances during strong earth-quakes. The relative (normalized) epicentral dis-tance is beneficial to the comparison of geo-metrically similar earthquakes of different mag-

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Slip weakening, strain and short-term preseismic disturbances

nitudes. This concept makes it possible to ana-lyze a «telesesmic equivalent» of seismicevents of a lower energy. For example, the ulti-mate radius of an M∼5.0 preparation zone isapproximately R*=150 km (eq. (4.4)), i.e. thedistance 150 km for an M=5 event is equivalentto the telesesmic distance R*=5400 km of astrong, M=8.0 EQ. In both cases r/R*∼1. Thus,the phenomena of teleseismic precursory ef-fects does not seem to be abnormal and can bemeasured in exceptional cases under favorableconditions (Tomaschek, 1955; Wideman et al.,1967; Lomnitz et al., 1978; Warwick et al.,1982; Yamazaki, 1983; and others).

The real strain field is a superposition of thecomplicated strain field of the source and het-erogeneous geological structures and topogra-phy, giving rise to an intricate pattern of stress-strain state controlled by fault structures. Thesatellite image of thermal infrared anomaliesdemonstrated by Tramutoli et al. (2001) illus-trates this natural mosaic distribution of precur-sors associated with the strain field. These pat-terns are the possible reason strain-metering in-struments fail to record short-lived precursorsat a given point, and why more «integral» meth-ods (like EME) are more efficient than point-wise strain measurements.

Returning to the question whether SOC isan insurmountable obstacle for EQ prediction,it is appropriate to note the conclusion bySykes et al., (1999) that this issue does not de-pend on the SOC nature of seismicity. It de-pends on whether there exists a precursoryphase of instability that can be reliably detect-ed from instrumental observations.

Numerous studies performed in variouscountries, including the positive experience ofa «negative results», is a good reason for re-served optimism with respect to future re-search.

Acknowledgements

The author would like to express sincerethanks to M.J.S. Johnston for helpful discus-sions regarding the problem of the creep-strainmeasurements and V. Lapenna for reviewingthe manuscript and valuable comments.

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