Tsunami Mapping Related to Local Earthquakes on the French–Italian Riviera (Western
Mediterranean)
MANSOUR IOUALALEN,1 CHRISTOPHE LARROQUE,2 OONA SCOTTI,3 and CAMILLE DAUBORD4
Abstract—The Ligurian coast, located at the French–Italian
border, is densely populated as well as a touristic area. It is also a
location where earthquakes and underwater landslides are recur-
rent. The nature of the local tsunamigenesis is therefore a
legitimate question, because no tsunami warning system can
resolve tsunami arrival times of a few minutes, which is the case
for the area. As far as the seismicity of the area is concerned, the
frequent recurrent earthquakes are generally of moderate magni-
tude: most of them are lower than Mw 5. However, the relatively
large Mw 6.9 earthquake (Larroque et al., in Geophys J Int, 2012.
doi:10.1111/j.1365-246X.2012.05498.x) that occurred on the Feb-
ruary 23, 1887, offshore of Imperia (Italian Riviera) is quite
emblematic. This unusual event for the region merits a complete
study: the quantification of its rupture mechanism is essential (1) to
understand the regional active deformation, but also (2) to evaluate
its tsunamigenesis potential by deriving relevant rupture scenarios
obtained from our knowledge of the event; for that purpose the
event is extensively described here. The first point has been the
subject of quite a few studies based on the seismotectonics of the
area. The last documented approach has been completed by Lar-
roque et al. (Geophys J Int, 2012. doi:10.1111/j.1365-246X.2012.
05498.x) who proposed a rupture scenario involving a reverse
faulting along a north dipping fault and favoring a Mw 6.9 mag-
nitude. In the present paper (1) we study the accuracy of their
solutions in relation to the computational grid spacing and the
dispersive/nondispersive parameterization, (2) based on an uncer-
tainty on the recorded wave amplitude of the Genoa tide gauge they
used, we propose a Mw 6.7 earthquake magnitude solution for the
event (the kinematics is unchanged), co-existing with the Mw 6.9,
(3) we evaluate the tsunami coastal impact of the 1887 event, and
(4) we test a range of possible ruptures that local faults may
undergo in order to propose a synoptic mapping of the tsunami
threat in the area. The spatial distribution of the maximum wave
height (MWH) is provided with a tentative identification of the
processes that are responsible for it. This latter issue is imperative
in order to make our mapping as generic as possible in the
framework of our deterministic approach (based on realistic sce-
narios and not on ensemble statistics). The predictions suggest that
the wave impact is mostly local, considering the relatively mod-
erate size of the rupture planes. Although the present-day
seismicity in this region is moderate, stronger earthquakes
(M [ 6.5) have occurred in the past. The studied scenarios show
that for such events specific localities along the French–Italian
Riviera may experience very significant MWH related to the
shallow focal depth tested for such scenarios. We may reasonably
conclude that the tsunami threat is relatively significant and uni-
form at the Italian side of the Riviera (from Ventimiglia to
Imperia), while it is more localized (sporadic) at the French side
from Antibes to Menton with, however, higher local level of
inundation, e.g., Nice city center.
Key words: Earthquake, active fault, tsunami, Mediterranean,
Ligurian coast.
1. Introduction
The Ligurian coast (Fig. 1), located at the
boundary of the southwestern Alps on each side of
the French–Italian border, is a densely populated and
industrial area. The geological context is one of the
most active among the western Mediterranean, with
recurrent earthquakes, onshore and offshore land-
slides, and tsunami (EVA and RABINOVICH 1997;
LARROQUE et al. 2001; CAROBENE and CEVASCO 2011;
MIGEON et al. 2011). During the last 500 years, a
dozen of tsunamis have been reported (TINTI et al.
2004; LAMBERT and TERRIER 2011). Most of them
have been certainly triggered by earthquakes with the
noticeable exception of the October 16th 1979 event
which was followed by a shallow submarine landslide
located on the continental slope of the northern Lig-
urian margin, in the immediate vicinity of Nice city
international airport (Fig. 1).
1 Institut de Recherche Pour le Developpement, IRD, UMR
Geoazur 6526, CNRS-IRD-UNS-OCA, 250 Rue A. Einstein, 06560
Valbonne, France. E-mail: [email protected] UMR Geoazur 6526, CNRS-IRD-UPMC-UNS-OCA, 250
Rue A. Einstein, 06560 Valbonne, France.3 Institut de Recherches et de Surete Nucleaire, BERSSIN,
B.P. 17, 92262 Fontenay-aux-Roses Cedex, France.4 Service Hydrographique et Oceanographique de la Marine,
13 Rue du Chatellier, 29228 Brest, France.
Pure Appl. Geophys.
� 2013 Springer Basel
DOI 10.1007/s00024-013-0699-1 Pure and Applied Geophysics
The northern Ligurian margin is peculiar because
it hosts a very narrow shelf and a steep continental
slope (Fig. 1). As a result, underwater landslides are
very recurrent in the area and numerous slide scars
may be observed (MIGEON et al. 2011). IOUALALEN
et al. (2010) estimated the tsunami hazard due to
recurrent landslides occurring in the area. The present
paper fills a gap in the tsunami hazard mapping by
proposing earthquake triggered tsunami mapping
along the Ligurian coast based on the recent study of
the seismotectonic activity in the area and on the
analysis of the strongest 1887 regional event.
Currently, the area encounters recurrent earth-
quakes, although most of them are of moderate
magnitude (BETHOUX et al. 1992; LARROQUE et al.
2001). Therefore, the local earthquake activity is not
likely to be tsunamigenic. Nevertheless, some strong
earthquakes were recorded in historical times, such as
the February 23, 1887, event that occurred offshore of
Imperia, Italy (FERRARI 1991), the magnitude of
which has been recently reappraised around 6.9
(LARROQUE et al. 2009, 2012, hereafter LSI12 for the
latter). This earthquake was quite damaging (FERRARI
1991; LAURENTI 1998) and induced a tsunami
observed along more than 200 km of the Ligurian
coast (DENZA 1887; EVA and RABINOVICH 1997).
Based on this information, the 1887 earthquake/
tsunami appears to be essential for the Ligurian
coastal area in terms of natural risk: it is the most
destructive earthquake ever recorded in the area and
this is the most significant tsunami triggered by
earthquakes recorded in the northern part of the
western Mediterranean. For these reasons, there is a
crucial need to study the event in detail. So far, the
most detailed study regarding the earthquake event
has been recently proposed by LSI12. They gathered
all the morphotectonic and macroseismic information
and used available hydrographic information (recor-
ded tsunami signal) to propose the best earthquake
scenario in terms of rupture parameters (fault location
and geometry and area of the rupture plane). For that
purpose, LSI12 analysis helped in reducing
Figure 1DEM of the northern Ligurian margin derived from high-resolution bathymetric data collected during the MALISAR geophysical surveys.
The Ligurian Faults system (LFS) is in white. The inset shows the location of the northern Ligurian margin at the junction between the Alps
and the western Mediterranean
M. Ioualalen et al. Pure Appl. Geophys.
considerably the range of parameters necessary to
explain the rupture process. Then the short-listed
ranges of rupture parameters were submitted to a
tsunami numerical modeling procedure in order to
tentatively identify the possible(s) mechanism(s) of
dislocation. For that purpose, the 1887 tide gauge
record at Genoa harbor has been processed along with
a tsunami modeling methodology. Another tide gauge
record was available at Nice harbor but was not used
because a sudden drop in pressure was difficult to
explain and subsequently filter.
We want to complete the previous work, and we
invite the reader to refer to the papers LARROQUE et al.
(2011) and LSI12 for a full description of the tec-
tonics and seismicity of the area. In the present paper,
we want to focus on the triggered tsunami. Firstly we
study the precision of the solutions proposed by
LSI12. Then we compute a further solution because
the amplitude of the Genoa tide gauge they used to
calibrate their solution is subject to uncertainty;
through the analysis of the theoretical tide, the
MAREMOTI technical report (2012) proposed that
the tide gauge overall wave amplitude exhibited in
EVA and RABINOVICH (1997) and used by LSI12 was
possibly over-estimated by a factor of 2.4. In that
context, and without the availability of the original
record, we have estimated a new solution with the use
of the newly processed wave amplitude. Conse-
quently, we propose a new solution, bearing in mind
that the possibly actual solution for the 1887 event is
bracketed between ours and the one of LSI12.
Finally, we have built an exhaustive set of earthquake
scenarios (including the 1887 scenario) and we
computed their tsunami-derived maximum wave
height (MWH) distribution. Note that the runup is the
altitude of the highest undated point versus the mean
sea level (MSL), while the wave height is the wave
elevation versus the MSL at any computational grid
point. Our computations of the tsunami mapping
provide the MWH, which is the highest wave height
encountered at each grid point during the entire wave
sequence. Eventually, our MWH at the highest
inundated point would correspond to the runup for a
grid spacing close to zero.
Note that we have considered here the solution of
LSI12 (not ours) because it is more extreme. Our
intention is to take into consideration realistic, even
extreme, scenarios and to identify the range of
potential tsunami signatures due to local seismicity,
i.e., the tsunami MWH mapping. In particular we
have considered the 1887 scenarios (S6 and S7 in
LSI12) and one scenario with similar earthquake
kinematics to the 1887 one, but which has been
shifted westward along the Ligurian Faults system
(LFS, Fig. 1). We conclude by proposing further
scenarios for which the entire LFS is rupturing. We
are not proposing a full study of the tsunami hazard.
Indeed, such study would require a large ensemble of
numerical simulations, the size of the ensemble
depending on the degree of constraints we have for
the LFS. Instead, we propose here specific scenarios
that may be representative of the ensemble and that
are based on the constraints we have of the LFS
(LSI12).
We want to stress here that we are more con-
cerned with tsunamis triggered by local earthquakes.
This is because, considering their arrival times (a few
minutes) the risk prevention cannot be handled by
existing tsunami warning systems. On the other hand,
remote tsunamis, like those triggered along the
Algerian Margin (for example on the May 21, 2003)
are the final objective of an ongoing project dedicated
to the development of a Mediterranean tsunami
warning system.
2. The Geological Context of the French–Italian
Riviera
The French–Italian Riviera is at the junction
between the southwestern Alps and the Ligurian
oceanic basin (LARROQUE et al. 2009). Onshore, the
Alpine belt corresponds to the Ligurian Alps and the
Nice-Castellane fold and thrust belts that were thru-
sted southward since 15 Ma (GIDON and PAIRIS 1992;
LAURENT et al. 2000; FOEKEN et al. 2003). The alpine
front of deformation is more or less co-extensive to
the Ligurian coast (SAGE et al. 2011). Offshore, the
northern Ligurian margin exhibits typical features of
a rifted continental margin, with tilted blocks boun-
ded by southeast-dipping listric faults (REHAULT et al.
1984; ROLLET et al. 2002). The Ligurian Basin is
assumed to have developed in a back-arc context
(DOGLIONI et al. 1997; JOLIVET et al. 2008) which
Tsunami Mapping Related to Local Earthquakes
opened from the late Oligocene to the early Miocene
times behind the Apulian subduction zone and partly
within the western alpine belt (WESTPHAL et al. 1976;
EDEL et al. 2001; GATTACCECA et al. 2007).
Currently, the overall Alpine and Ligurian regions
are characterized by low to moderate active defor-
mation (LARROQUE et al. 2001). The northern Ligurian
margin displays a compressive tectonic regime
(BETHOUX et al. 1992; LARROQUE et al. 2001; BIGOT-
CORMIER et al. 2004; BETHOUX et al. 2008; LARROQUE
et al. 2009). Offshore, the data collected during the
MALISAR marine geophysical surveys has produced
valuable images of the surface and subsurface struc-
tures along the northern Ligurian margin. These data
have allowed us to characterise Plio-Quaternary
compressive deformations, and particularly the Lig-
urian Faults System (LFS), an 80-km-long segmented
active fault system running at the foot of the conti-
nental slope (LARROQUE et al. 2011). The LFS has
been recently proposed as a candidate source for the
1887 Ligurian earthquake (LSI12).
3. Historical Tsunamis on the French–Italian Riviera
On October 16, 1979, following the Nice airport
submarine landslide, 2–3-m-high waves were repor-
ted (ASSIER-RZADKIEWICZ et al. 2000) in Antibes
(30 km west of Nice). The cause of this slide is still
unclear, and several studies have tried to explain it
(PIPER and SAVOYE 1993; HABIB 1994; MULDER et al.
1997; ASSIER-RZADKIEWICZ et al. 2000; DAN et al.
2007; IOUALALEN et al. 2010; LABBE et al. 2012). It
happened during the extension of the nearby harbor.
The slide itself caused 10 victim (workers on the
construction site) to be swept off by the water
depression at the instant of the slide. Both ASSIER-
RZADKIEWICZ et al. (2000) and IOUALALEN et al. (2010)
suggest that two distinct slides are necessary to
explain the recorded tsunami, i.e., the local slide itself
and another one that was triggered further down the
continental slope, although they did not address the
issue of the slides and tsunami chronology, which is a
crucial point.
IOUALALEN et al. (2010) reconstructed the most
significant ancient submarine landslide volumes
deduced from high-definition scars (up to several
km3) evidenced along the continental slope of the
Ligurian margin. Their tsunami computations/esti-
mations reveal that the slides might have triggered
wave heights as high as several meters, especially
near pronounced capes (Cap d’Antibes, Cap Ferrat,
Cap Martin, Fig. 1) through wave-focusing pro-
cesses. Similar coastal wave impacts have also been
reproduced by LABBE et al. (2012) through a one-slide
modeling taking water incorporation into account,
thus allowing an increase in volume along the slope.
However, the 1887 event attests that a significant
tsunamigenic earthquake may occur at return periods
of a century (SOLOVIEV 1990; SOLOVIEV et al. 2000;
TINTI et al. 2004). The 1887 Ligurian tsunami itself
was not as destructive as recent great subduction
tsunamis (IOUALALEN et al. 2007). The observed runup
from Marseille (France) to Livorno (Italy) (Fig. 2)
was small, but locally heights more than 2 m were
observed, with critical values in the vicinity of Im-
peria (DENZA 1887; and other references in LSI12).
The tide gauge at Marseille did not record a signifi-
cant signal, while the tide gauges at Nice and Genoa
harbors did. In any case, it is evidenced that local
active faults are able to produce tsunami waves that
break in a short time along the French–Italian
Riviera.
As far as distant tsunamis are concerned, only
earthquakes generated offshore of Algeria, at the
boundary of the Eurasia and Nubia plates, may affect
the area. However, the directivity of such tsunamis is
oriented northward and thus it is very unlikely to
affect the Ligurian coast. As an example, the Mw 6.8
Boumerdes earthquake (2003 May 21) generated
significant waves northward in the Baleares Islands,
but with few observations in the Ligurian sea (DE-
LOUIS et al. 2004; YELLES et al. 2004; ALASSET et al.
2006).
Several other historical earthquakes are supposed
to have been tsunamigenic (broadly discussed in
PELINOVSKY et al. 2002). This is the case of the 1564
‘‘nissard’’ earthquake (VOGT 1992): some fast sea
level fluctuations of few meters have been mentioned
in historical manuscripts between Nice and Antibes
(LAURENTI 1998). Nevertheless, the epicenter, likely
located inland 50 km north of Nice (LAMBERT et al.
1994; http://www.sisfrance.fr), implies that this tsu-
nami was certainly related to a submarine slide
M. Ioualalen et al. Pure Appl. Geophys.
induced by the earthquake. The February 23, 1818,
and the May 26, 1831, events are also discussed in
the literature, but runups for these events have not
been found (PELINOVSKY et al. 2002; TINTI et al. 2004;
LAMBERT and TERRIER 2011).
4. Seismotectonic Scenarios
The source characterization of the 1887 Ligurian
earthquake results from the test of a range of strikes,
dips and kinematics of faulting, together with the
tsunami numerical modeling based on the Genoa tide
gauge record provided in EVA and RABINOVICH (1997)
(LSI12). From the tsunami modeling point of view,
the best-fitting scenarios (S6 and S7, LARROQUE et al.
2012) correspond to (1) a N55�E striking fault plane,
with (2) a 16�-dipping northward or a 74�-dipping
southward fault plane, both with reverse kinematics,
(3) a 35-km-long and a 17-km-wide size, (4) a cen-
troid depth of 15 km, and (5) a Mw 6.8–6.9. Through
a morphotectonic analysis of the northern Ligurian
margin, we proposed that the optimal solution for the
Ligurian earthquake requires an active fault plane
with a low dip to the North (S7, LSI12).
Therefore in this paper, we first investigate the
inundation models related to the scenarios S6 and S7
(Table 1), directly related to the 1887 event. Never-
theless, the analysis of the earthquake-derived tsunami
hazard in this part of the western Mediterranean
requires testing other possible scenarios beyond the
known historical event. These scenarios must scan the
range of potential events in accordance with the geol-
ogy in order to allow a foresight discussion.
Figure 2(Modified from LARROQUE et al. 2012). Consequences of the February 23, 1887, earthquake observed along the coast from Marseille (France)
to Livorno (Italy). The dotted lines correspond to the distribution of the intensity of the tsunami [intensity scale from SIEBERG (1923) modified
by AMBRASEYS (1962), compilation by A. Laurenti]. The bars are local runup observations: 0 \ a \ 0.5 m; 0.5 \ b \ 1 m; 1 \ c \ 2 m.
Locations: 1 Marseille, 2 Frejus, 3 Cannes, 4 Antibes, 5 Nice, 6 St Jean-Cap-Ferrat, 7 Monaco; 8 Menton, 9 Ospedaletti, 10 San Remo, 11
Arma di Taggia, 12 Riva Ligure, 13 Imperia, 14 Oneglia, 15 Diano Marina, 16 Andora, 17 Alassio, 18 Genoa, 19 Bogliasco, 20 Recco, 21
Sestri Levante, 22 Livorno. B Bussana, P Pompeiana, C Cervo and San Bartolomeo del Cervo. The white rectangle represents our
computational domain throughout the study (43�050N–44�270N; 6�320E–9�150E)
Tsunami Mapping Related to Local Earthquakes
The three following scenarios are related to the
rupture of part of the Ligurian Faults system (LFS;
Fig. 1):
(i) S6 and S7 (Table 1) are the ‘‘historical’’ scenar-
ios. The rupture is located on the eastern segment
of the LFS: the strike, the 74� southward dip and
the 16� northward, and the kinematic parameters
of the faulting correspond to those determined by
LSI12 as the possible origin for the 1887 tsunami
(see discussion in LSI12).
(ii) S8 (Table 1) has same geometric and kinematic
parameters as S7 (see discussion in LSI12).
However, the centroid is shifted westward, filling
the western half-side of the total LFS.
Considering the length and the geometry of the
LFS, a second type of scenario can be envisaged in
which the entire LFS breaks as a roughly 80-km-long
rupture. Therefore, with the following scenarios (S9–
S12, Table 1) we test:
(iii) The influence of the strike: we consider N55�E
and N70�E which are the two extreme values for
the strike of the LFS at surface (LARROQUE et al.
2011).
(iv) The influence of the surface of the faulting: for a
length of 80 km, we take a width of 17 km, as
for the 1887 event, and a larger width of 27 km
in accordance with the low dip of the fault and
an assumed seismogenic thickness of 20 km
(BAROUX et al. 2001; EVA et al. 2001).
(v) The influence of the centroid depth: for each
surface faulting and strike we test a focal depth of
15 km, as for the 1887 event, and a shallower one
of 9 km.
5. Co-seismic Slip and Tsunami Modeling
The characterization of a seismogenic source for
the purpose of simulating a tsunami requires many
simplifying assumptions concerning the geometry of
the fault and the amount of slip that the fault may
undergo during an earthquake. In this paper, six
scenarios are explored; however, assumed geometries
and displacement estimates are each affected by large
uncertainties. Since the accuracy of the inferred
earthquake displacement is dependent upon the
quality of the assumed relationship between rupture
dimension and displacement, in the following para-
graph we briefly recall the main scaling laws that are
currently used in the seismic hazard community to
estimate displacements for simulated ruptures based
Table 1
Scenarios discussed in the text based on the varying parameters of OKADA’s (1985) dislocation method, each one corresponding to a specific
rectangular ruptured area
Scenario Kinematics / (strike) d (dip) L (km) W (km) D (m) d (km) Mo (N m) Mw (HK79)
S6 Reverse N55�E 74�S 35 17 1.3 15 2.55 9 1019 6.87
S7, S8 Reverse N55�E 16�N 35 17 1.5 15 2.95 9 1019 6.91
S7bis Reverse N55�E 16�N 26.30 15.85 1.1 15 1.51 9 1019 6.72
S9 Reverse N55�E 16�N 80 17 2 15 7.94 9 1019 7.24
S10 Reverse N70�E 16�N 80 17 2 15 7.94 9 1019 7.24
S11 Reverse N70�E 16�N 80 27 3.3 15 2.24 9 1020 7.51
S12 Reverse N55�E 16�N 80 27 3.3 9 2.24 9 1020 7.51
Scenarios S6 and S7 are proposed by LARROQUE et al. (2012) for the characterization of the 1887 Ligurian event offshore of Genova, Italy,
with a centroid located at (8.08�E, 43.70�N). The centroid is the geometrical center of the rupture plane, while the position of the hypocenter
(unknown) can be anywhere within the plane. It does not make a difference for the computation of the tsunami initial wave, because the
sequence of the rupture is ignored but the position of the centroid places the maximum of deformation. New scenario S8 is identical to S7, but
with a centroid shifted westward (7.55�E; 43.580�N). Scenario S7bis refers to a division by a factor of 2.4 of the tide gauge wave amplitude
reported in EVA and RABINOVICH (1997) (MAREMOTI Technical Report 2012). Other new scenarios S9–S10 and S11–S12 represent supposed
extreme scenarios for the area with a new centroid position (7.815�E, 43.640�N)
d represents the centroid depth, L is the length (along strike) of the rectangular fault plane and W is the width transversal to the fault plane. / is
the strike angle (counted CW from north) and d is the dip angle (counted positive from horizontal). The rake angle k is kept constant (90�)
(counted CCW from strike). D is the maximum fault slip. The medium shear modulus is taken as l = 3.3 9 1010 Pa. Mo is the seismic
moment (Mo ¼ lLWD) and Mw is the corresponding seismic magnitude (Mw ¼ log10ðMo � 9:1Þ=1:5) (HANKS and KANAMORI 1979)
M. Ioualalen et al. Pure Appl. Geophys.
on measured or inferred geometrical parameters of
the fault. The main point of this section is to under-
line the uncertainties that affect the parameters
chosen for the scenarios.
The most common scaling laws used in the seis-
mic hazard community are those proposed by WELLS
and COPPERSMITH (1994) and LEONARD (2010), here-
after named WC94 and L10, respectively. Other
scaling relations have been published but they will
not be considered here as they tend to concern narrow
classes of earthquakes (e.g., large strike-slip). The
scaling relations proposed by L10 are an improve-
ment compared to WC94 scaling laws in as much as
the author proposes alternative self-consistent scaling
laws: starting with one parameter (e.g., fault length) it
is possible to determine all of the other parameters
(area, width, displacement, moment), independently
of the choice of the initial parameter. Furthermore,
the distinction between interplate/and intraplate/sta-
ble continental region (SCR) earthquake proposed in
L10 is in agreement with the observation that SCR
earthquakes are often associated with relatively
higher stress drops and significantly larger slip dis-
placements compared to earthquakes in tectonically
active regions. Given that each simulated earthquake
requires fault dimensions, displacement, magnitude,
centroid, and orientation, accurate results require that
the rupture dimension, displacement, and moment be
consistent. In the case of our work however, both
WC94 and L10 are used to explore a range of pos-
sible scenarios and to choose reasonable
displacement scenarios within that range.
There are only two parameters available to
parameterize seismic scenarios for the Ligurian Fault
System (LFS): the mapped length of the fault seg-
ments in the LFS and the depth of the seismogenic
layer (LARROQUE et al. 2011). Given that each seg-
ment may break separately as 30–40-km-long
ruptures or simultaneously as a roughly 80-km-long
rupture, and that the LFS is a dip-slip structure, then
WC94 and L10 Fault Length-Displacement scaling
relations estimate mean displacements on such faults
in the range 0.76–2 m for a 35-km-long rupture (dark
red and yellow in Fig. 3a) and 0.97 and 3.78 m for an
80-km-long rupture (dark red and yellow in Fig. 3b),
depending on the kinematics of the fault, the statistics
performed and the indicator used. Assuming a dip of
the fault and knowing the seismogenic depth, then
scenarios based on the hypothetical area of the fault
can be proposed based on the L10 Fault Area-Dis-
placement relations. In this case, mean displacements
are in the range 1–2 m for a 35-km-long rupture (blue
in Fig. 3a) and 1.5 and 3.69 m for an 80-km-long
rupture, depending on the assumed width of the fault
(blue in Fig. 3b). If we limit the analysis to the most
commonly used indicators and we ignore the uncer-
tainty which underlies each one of these indicators
(not presented in the figure), the most important
decision for fixing a displacement for the seismic
scenarios concerns whether the LFS is a fault located
in an active region (low stress drop) or rather in a
stable continental region (high stress drop). As shown
in Fig. 3 (pink and red bars) and Table 1, the chosen
scenarios (1.3 m/1.5 m for the 35-km-long segments
and 2 m/3.3 m for the 80-km-long segments) are in
the higher range of estimated values, closer to L10
SCR estimates. The reader should bear in mind that
source scaling relations are empirically based models
and the displacement considered here are only mean
displacements. There is still significant stochastic
variability about these mean displacements. Last but
not least, in the simulations a rupture is assumed to
occur along a planar feature and the displacement is
uniformly distributed over the fault plane. Clearly,
for the purpose of tsunami hazard risk reduction
studies, a more exhaustive exploration of the uncer-
tainty would be necessary, which is beyond the scope
of the present paper.
6. The Rupture Parameters Solution of the February
23, 1887, Earthquake: Description and Precision
The best-fit solutions of LSI12 were obtained by
comparing the computed tsunami signal and the
recorded signal at the Genoa tide gauge provided by
EVA and RABINOVICH (1997) (e.g., scenario S6 in
Fig. 4). The tsunami fully nonlinear propagation
dispersive model, Funwave has been used (WEI and
KIRBY 1995; WEI et al. 1995). KENNEDY et al. (2000)
and CHEN et al. (2000) implemented a porous beach
method, used to keep the subaerial portion of the
model grid computationally active and to simplify the
calculation of runup on dry shorelines. The
Tsunami Mapping Related to Local Earthquakes
dissipation due to wave breaking and bottom friction
is represented with an eddy viscosity term (CHEN
et al. 2000). The computational grid covers a region
from west of Cannes, France, to east of Genoa, Italy,
i.e., 200 km (Fig. 2). Considering that the tsunami
model they used imposes a Cartesian uniform grid
(constant grid spacing), their work was able to be
completed only for grid spacing of 200 m. They used
a (1,150 9 776)—nodes grid along with an optimal
0.25-s time step to avoid numerical instabilities and
truncation errors. Each simulation of their 55-min
propagation (13,200 time steps) took 2 days of CPU
on their computer, i.e., a parallel version of Funwave
(POPHET et al. 2011) is implemented in a 8-core
cluster. For a 100-m grid spacing (used here), the
optimal time is found to be 0.125 s. Thus a typical
simulation presented here takes approximately
2 weeks of CPU with the same computer and Fun-
wave version.
In this paper, we take the time to discuss sensi-
tivity of modeling results to the grid spacing used.
The grid spacing is particularly important when per-
forming tsunami wave height mapping, which is very
sensitive to the precise description of the coastal
morphology. We focus here on scenario S6: a 400-,
200- and 100-m grid spacing are considered and the
signals are tested against the Genoa tide gauge
record. Figure 4 indicates a relatively good coher-
ency from 200 to 100 m with a slight over-estimation
of the wave amplitude for the latter. However, the
main jump in precision occurs between 400 and
200 m. Table 2 illustrates that the 200-m simulation
of LSI12 may be reasonably retained because the
solution did not deteriorate significantly from 200 to
100 m (a still very satisfactory 0.72 correlation
coefficient). A crucial point is the physical repre-
sentation of the Genoa harbour for which we used the
map provided by EVA and RABINOVICH (1997): At the
entrance of the harbour, we get eight ‘wet’ lateral
Figure 3Mean displacements predicted by the scaling relations of L10
(LEONARD 2010) and WC94 (WELLS and COPPERSMITH 1994).
ACTIVE faults located in active regions, SCR faults located in
stable continental regions NF Normal faults, RF reverse faults, ALL
all faults averaged together. Indicators used FL fault length, FA
fault area
Figure 4Convergence (related to the grid spacing resolution) test for the
1887 Genoa tide gauge record (in blue) and the simulated time
series for scenario S6 of LARROQUE et al. (2012) (Table 1) for
400-m (green), 200-m (red), 100-m (black) grid spacings and for
another 100-m grid spacing applied for a nonlinear shallow water
model (cyan blue). Time is in seconds and the wave height (WH) is
in centimeters
M. Ioualalen et al. Pure Appl. Geophys.
grid points for the 100-m grid and four points for the
200-m grid. The fact that there is no significant dif-
ference between the two simulations for (finally) a
few points (8 and 4) and a drastic doubling of the grid
resolution, indicate that the 100-m simulation can be
considered satisfactory. The simulations results do
not show any numerical instability or any misrepre-
sentation of local site effects.
An additional test consisted in the use of the
nonlinear shallow water configuration of Funwave
that does not take into account dispersive effects
(dispersion may occasionally drastically re-distribute
the wave amplitude and frequency content). Fig-
ure 4 shows that the gap between the solutions from
200 to 100 m and the one from the solutions with or
without dispersion is worse for the second case. In
particular, Table 2 indicates a slight deterioration of
the correlation coefficient (from 0.72 to 0.68). The
wave spectrum (Fig. 5) indicates that the lack of
dispersion gives too much credit to the lower fre-
quencies energy (853 and 1280 s). At the 200-m
level of precision, ignoring dispersive effects indu-
ces larger errors compared to the grid spacing
accuracy. We may then conjecture that, considering
the balance between the satisfactory numerical
model used (dispersive nonlinear Boussinesq model)
and their necessarily limited computational facilities,
the solution of LSI12 may be considered as a good
estimate (but only) with reference to the gauge
record provided by EVA and RABINOVICH (1997). In
that context, it can still be refined but the range of
parameters of the seismic source would not change
significantly.
However, through a detailed analysis of the Genoa
tide gauge record, the MAREMOTI Technical Report
(2012) showed that the wave amplitude provided by
EVA and RABINOVICH (1997) and used by LSI12 is
eventually over-estimated by a factor of 2.4 due to a
possible wrong scale (Figs. 6e, 7). This uncertainty
requires further analysis. We report here how the
Genoa tide gauge record has been processed by C.
Daubord in MAREMOTI technical report (2012)
benefiting from comparison to theoretical tide pre-
dictions: the record has been digitalized at a 1-min
sampling rate considering scale information on the
reproduction (Fig. 6a): height scale is in centimetres,
and time scale is in local time. It has been then changed
into current time system UT using the time correction
mean time in Genoa equal UT ? 36 min. A fictive
altimetric reference has been considered, as no
instrumental zero was mentioned, preventing us from
discussing the absolute heights. Comparing this digi-
talized signal to theoretical tide predicted signal on the
February 23 shows that the tidal range of the digital-
ized signal (58 cm) is far from the theoretical one
(24 cm) (Fig. 6b). This incoherency can be explained
neither by meteorological factors nor by defective tide
predictions. On one hand, it is unlikely that sudden
atmospheric forcing changes would have occurred
within less than 6 h. On the other hand, tide prediction
in Genoa has been computed using French official
harmonic constants, consistent with those of the Italian
Hydrographic Institute, and theoretical tide predic-
tions in neighbouring sites (Fig. 6c) of Genoa show
similar tidal ranges on the February 23, 1887 (Fig. 6d),
which strengthens the reliability of Genoa predictions.
Table 2
Convergence (related to the grid spacing resolution) for solution S6 of LARROQUE et al. (2012)
�gRec (cm) �gSol (cm) rRec (cm) rSol (cm) e (cm) q
S6_400 1.05 0.06 9.78 1.33 9.57 0.26
S6_200 1.14 8.70 6.14 0.79
S6_100 1.29 9.49 7.28 0.72
S6_NLSW 1.57 10.05 7.93 0.68
S7bis 0.42 0.45 3.91 3.61 2.90 0.71
Three grid spacings have been used: 400 m (S6_400), 200 m (S6_200 for scenario S6 of LARROQUE et al. 2012), 100 m (S6_100) and 100 m
without taking into account dispersion (S6_NLSW). The simulated signals (indexSol) are compared to the Genoa tide gauge record (indexRec).
The basic statistics are the mean wave height �g, the standard deviation r, the root mean squared error (RMSE) e and the cross-correlation
coefficient q. The usual RMSE representing the model skill is defined as
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
P
i ðgi;Rec � gi;SolÞ2=n
q
, where gi;Rec corresponds to the tide gauge
record points, gi;Sol is for the associated simulated one and n is the number of comparison points (every 10 s) for the respective time series
Tsunami Mapping Related to Local Earthquakes
Computing a linear regression between theoretical
tide predicted heights and recorded heights on Feb-
ruary 23 highlights a 2.4 scale factor (Fig. 6e). This
means that the scale indicated on the tide gauge
record published in EVA and RABINOVICH (1997) could
conduct to over-estimate heights by a factor of 2.4. If
we take into account this factor and re-evaluate tsu-
nami wave heights recorded at Genoa tide gauge, we
find that maximum wave heights are about 7 cm,
instead of 20 cm as proposed by EVA and RABINOVICH
(1997). The uncertainty on this bias could be reduced
considering the original tide gauge record and mete-
orological data, and performing a similar analysis on
more than one day. This result can indeed be con-
sidered as an alternative result till the viewing of the
original tide gauge record could be made available,
and could help settle the argument.
The statistics displayed in Table 2 are very
similar to the ones of scenario S6 and allows us to
validate this lower magnitude solution. Unfortu-
nately it has been impossible to obtain the original
record in order to definitely assess whether scenario
S7 or S7bis is the best-fit magnitude solution. We
conjecture that the S7bis scenario is more reliable,
while maintaining the solution S7 of LSI12. At this
stage, it is important to note that the uncertainty on
the tide gauge wave amplitude is not bracketed by
two scalars differing by a factor of 2.4, and thus that
the earthquake magnitude ranges from Mw 6.7 to
Mw 6.9. Rather, its value is either Mw 6.9 (LSI12) or
Mw 6.7 (the present paper). Consequently, this paper
proposes the two alternative solutions as being
credible with, however, a preference for the Mw 6.7
solution, regarding the tide gauge prediction that has
been processed carefully here. We believe the
present study is a necessary complement to our
LSI12 one in order to have a comprehensive over-
view of the event.
(1) The two magnitudes Mw 6.7 and Mw 6.9 are
relatively close, despite the 2.4 wave amplitude ratio.
(2) Also the shift from 200 m to 100 m of grid res-
olution for the LSI12 Mw 6.9 solution does not
change significantly the wave signal. At least, the
wave variation (in amplitude and phase) from one
simulation to another is far weaker than when
applying the ration 2.4 (from Mw 6.9 to Mw 6.7). Thus
we believe that an even better grid spacing would still
provide a very similar Mw 6.9 magnitude. Because of
(1) and (2), we believe it was important to process
again the tide gauge record (apply the 2.4 ratio) and
perform the grid spacing sensitivity tests because we
are able to conclude that the solution of LSI12 and
0
200
400
600
800
1000
1200
0 600 1200Period (s)
Wave spectrum
1280
853
640
513
320
TGS6_200S6_100S6_100_NLSW
Figure 5Wave spectra comparison for scenario S6 of Tables 1 and 2 between the Genoa tide gauge record (TG, in blue), scenario S7 for a 200-m grid
spacing (S7_200 in red, LARROQUE et al. 2012), a 100 m grid spacing (S6_100, in green) and a 100-m grid spacing without taking into account
dispersion (S6_100_NLSW)
M. Ioualalen et al. Pure Appl. Geophys.
our new solution are relatively close and then rela-
tively robust despite the uncertainties.
However, the tsunami signature computed below
will be based on the scenario S7, which is more
extreme than S7bis, although not differing signifi-
cantly, i.e., from Mw 6.7 to Mw 6.9 (Table 1).
7. The MWH Distribution for the February 23, 1887,
Earthquake-Derived Tsunami
We discuss here the computed MWH distribution
in order to map the tsunami for the proposed sce-
narios. The simulations are performed with a 100-m
Figure 6a Reproduction of Genoa tide gauge record, source: EVA and RABINOVICH (1997). b Comparison between Genoa tide gauge record from EVA
and RABINOVICH (1997) and Genoa tide prediction on the February 23, 1887. Tide Record filt is the recorded signal filtered by a low-pass
Butterworth filter. Recorded signals have a fictive vertical reference. Tide predicted signal is referenced to the hydrographic datum. c,
d Comparison of predicted tide amplitudes at neighbouring sites of Genoa on the February 23, 1887. Mean sea level has been forced to zero
for all sites. e Fit of a simple linear regression model between tide predicted signal and tide recorded signal. R2 indicates the determination
coefficient
Tsunami Mapping Related to Local Earthquakes
grid spacing and the use of Funwave Boussinesq
fully nonlinear model. Regarding the 1887 event,
there are very few records of witnessed wave
heights. DENZA (1887) [see discussion in FERRARI
(1991), EVA and RABINOVICH (1997) and Fig. 2]
reported a runup of the order of 1–2 m at Imperia,
San Remo (approx. 2 m) and Diano Marina (approx.
2 m) for instance. These runup observations are
consistent with our MWH where we find 3.20, 2.30
and 1.60 m at Imperia, San Remo and Diano Marina
respectively for scenario S6 (Figs. 8, 9 and 10a).
The simulation clearly identifies the exposed and
less exposed areas. This earthquake event is there-
fore quite significant for this area, considering the
relatively low extent of the active faults (compared
to great subduction areas; see IOUALALEN et al. 2007
for the 2004 Sumatra event). Significant wave
impacts are located in the immediate vicinity of the
earthquake location (Fig. 8), which is not surprising
considering the relatively short wavelength (approx.
17 km) and characteristic wave period (approx.
2 min) computed at the initial movement. As a
result, this event may represent the (local) worst-
case scenario in terms of tsunami impact for the
Italian Riviera. In that context, Figs. 9b and 10a (for
S6) may be considered as a local tsunami hazard
mapping. The processes that are responsible for the
coastal wave amplification are mainly site effects:
the MWH along the coast are located at focussing
areas (FC in Fig. 9). San Remo is centered around
two refraction-then-focussing areas (FC1 in Fig. 9),
explaining the two wave peaks. A second focusing
area (FC2) operates both in Riva Ligure and Ci-
pressa. Two other focussing areas are also identified
for Imperia (FC3) and Diano Marina (FC4) yielding
two wave peaks.
As far as scenario S7 (Table 1) is concerned, i.e.,
the south-dipping fault scenario of LSI12, the results
are quite similar to the S6 case (nearly the same
peaks) with sensibly weaker MWHs (Fig. 10a): 2.60,
1.90 and 1.50 m at Imperia, San Remo and Diano
Marina, respectively. Although the slip amount is
slightly higher for S7 (Table 1), the vertical seafloor
displacement is slightly larger for S6 (Fig. 8) because
of the steep dip of the fault. The wave impact is also
confined which is not surprising considering the very
similar initial waves. Then in terms of tsunami
earthquake-kinematics, the results of S6 and S7 are
very similar and, consequently, what is derived for
one scenario applies to the other.
Although, as expected, the impact of the S6-
and S7-type tsunami scenarios is local, it is
-15
-5
5
15
1200 1800 2400 3000Time (s)
WH (cm)
S7bis
Figure 7Best-fit solution for the 1887 Genoa tide gauge record (in blue) and the simulated time series obtained with scenario S7bis (Table 1) for a
100-m grid spacing (in red). Time is in seconds and the wave height (WH) is in cm
M. Ioualalen et al. Pure Appl. Geophys.
however quite significant, considering the rela-
tively short wave period and wavelength along
with a relatively small amount of slip. In order to
complete the tsunamigenic picture along the
French–Italian Riviera, it is therefore essential to
test additional scenarios along the western part of
the LFS (Fig. 1).
8. Rupturing the Western Part of the Ligurian
Faults System
First, an S7-type scenario was shifted further west
along the LFS in order to predict potential runup
within the French Riviera following a ‘‘Ligurian-
type’’ earthquake with an epicenter located westward,
Figure 8Simulated local maximum wave height (MWH) distribution (see the color scale in meters) along the coast for scenarios S6 to S11 of Table 1
for a dx = dy = 100 m grid spacing and the associated initial tsunami at the generation with the seafloor vertical deformation (dashed lines
are for subsidence and continuous lines are for uplift with 5 cm iso-contours) which has been taken as usual as the initial wave shape (the
seismic P-wave is considered to be fast, e.g.,[1 km s-1). The white star corresponds to the earthquake centroid location. The white rectangle
of S6 is the area enlarged in the next Fig. 9. The bathymetry is represented with 50-m iso-levels
Tsunami Mapping Related to Local Earthquakes
i.e., the scenario S8 in Fig. 8. The epicenter of the
proposed scenario S8 has been centered offshore
Nice–Monaco (Table 1, Fig. 8) in the area where
several earthquakes have been recently detected
(LARROQUE et al. 2011). The results (Fig. 10b) indi-
cate an overall range of WHM of several meters that
is similar to the one of S7.
Locally, significant spots appear, mainly due to
local topography: in particular more than 4 m runup
is predicted in the center of Nice (Nice-Massena)
which is due to a pronounced land slope of 4 %
compared to the neighboring 2 %, enhancing the
usual slope effect (1/4-powered Green’s law).
Another spot is located at Nice International airport.
Figure 9(Upper panel) Maximum wave height (MWH) distribution along the coast for scenario S6 within the white rectangle of Fig. 8. The
bathymetry is represented with 50 m iso-levels. (Lower panel): detailed (bars) of the MWH distribution with the entire computational domain.
Annotated locations are: France (FR): sm Sainte-Maxime, il Iles de Lerins (islands offshore Cannes), ca Cannes, as Antibes-la Salis beach, sl
Saint-Laurent du Var, na Nice International airport, nm Nice-Massena area, vlfr Villefranche-sur-mer, cf Saint-Jean Cap Ferrat, mc Monaco,
rcm Rocquebrune Cap Martin, me Menton. Italy (IT): ve Ventimiglia, bo Bordighera, os Ospedaletti, sr San Remo, rl Riva Ligure, ci Cipressa,
im Imperia, and ge Genoa
M. Ioualalen et al. Pure Appl. Geophys.
The reason is a focusing process: when the wave
propagates eastward, it encounters a bathymetric
shape that forces a pronounced refraction and a
subsequent focusing (see the shape of the 50 m—
isobath in Fig. 9). A significant MWH (2.60 m,
although less pronounced than the two other sites) is
also predicted at Antibes la Salis: it may be
interpreted as a growing-in-size wave due to a con-
fined seiche. We must notice that the location ‘‘La
Salis’’ was also the spot of the maximum MWH of
the 1979 tsunami (IOUALALEN et al. 2010). Surpris-
ingly, no significant MWH is predicted further south
at Cap d’Antibes (Fig. 10b). In that area, IOUALALEN
et al. (2010) computed the highest waves following a
(a)
(b)
(c)
Figure 10Distribution of MWH along the Ligurian land coast (in meters) for a scenarios S6 and S7, b S7, S8 and S9 and c S9, S10 and S11 of Table 1.
Here the reported MWH coincides with the runup (effective wave height added to the local land elevation of the highest inundated point).
Annotated locations are identical to those of Fig. 9
Tsunami Mapping Related to Local Earthquakes
tsunami triggered by submarine landslides collapsing
further south at the basis of the continental slope.
They explained that it was also due to refraction/
focusing processes when the wave comes directly
northward (see the 50 m—isobath 50 m surrounding
the cape, Fig. 9). This time it is not the case, because
the wave comes from the east and encounters straight
isobath shapes. Once again it is trivial to mention that
the wave directivity (and thus the location of the
tsunami triggering mechanism) is a crucial concern.
9. Rupturing the Entire Ligurian Faults System
In order to obtain a full picture of the MWH
distribution on the Ligurian coastal area, we must
consider a further rupturing of the entire LFS,
although there is no record of such event during
historical times. For that purpose we have built two
sets of scenarios: the first one (S9–S10) is based on
a 80 km 9 17 km fault plane with a 2-m co-seismic
slip while the second (S11–S12) represents a
80 km 9 27 km fault plane with a 3.3 m co-seismic
slip (Table 1). For each set we have considered two
strike angles based on the orientations of the fault
system from N55 to N70�E (Fig. 1). The testing of
the two different orientations (N55�E for S9, S12
and N70�E for S10, S11) is interesting because their
respective tsunamis have slightly different directiv-
ities and, eventually, the site effects may differ. The
focal depth is also tested (15 and 9 km for S11 and
S12 respectively; Table 1). For both sets of scenar-
ios we could eventually introduce heterogeneous
seafloor vertical movements, e.g., by using several
successive rupture segments. Such a representation
indeed applies for great subduction earthquakes (for
example for Sumatra or Andean faults, IOUALALEN
et al. 2007). But we cannot see evidence that a
potential rupture of the western side of the LFS
would be more energetic than the eastern side. For
sake of simplicity (and because of a lack of valuable
information) we consider a unique fault plane
without segmentation. Besides, considering the rel-
atively small size of the ruptured area (vs. great
subduction earthquakes) the rising time lag due to
the P-wave propagation would introduce only a few
seconds phase lag within the triggered tsunami,
which is not a critical issue.
As far as scenarios S9 and S10 are concerned
(Fig. 10c), we recover an overall same MWH peak
distribution, as expected for a larger slip rupture, but
greater MWH due to the simultaneous rupture of the
(aligned) eastern (S7 in Fig. 8) and western (S8 in
Fig. 8) segments. Consequently, the localized MWH
peaks are due to the same processes of focusing point
that were discussed previously. Several spots of more
than 4–5 m MWH are identified (Nice Massena,
Menton, Riva Ligure). The change in strike angle
between S9 and S10 may locally change MWH
amplitudes, but the overall spatial distribution is quite
conserved. When increasing the co-seismic slip (S11
and S12) from 2 to 3.3 m with the associated new
rupture sizes (Fig. 10c for S11), we still conserve the
MWH peaks distribution, with, however, larger
amplitudes and land inundation. Here MWH over
5 m occupy an area ranging from Nice, France, to
Imperia, Italy, which is a real threat considering its
rate of urbanization. A special issue is the Nice city
center. Like for scenario S8 (Fig. 10b) a noticeable
MWH occurs at Nice Massena (7 m) due to the
enhanced topography slope. However, the main fea-
ture is the 28 m MWH (Figs. 10c, 11) computed at
the edge of the ‘‘colline de Cimiez’’. The wave first
inundates Nice Harbor, then propagates northward to
‘‘Riquiez’’ (inundation of more than a 1 km) and
takes the pathway westward between two hills, i.e.,
the ‘‘colline de Cimiez’’ and the ‘‘colline du Cha-
teau’’, inundating downtown Nice (inundation of
nearly 2 km). For this scenario the incoming wave is
sufficiently high to overpass the northern part of the
harbor dock (of lower altitude than the lateral one)
and pursue its propagation inland. It is suggested that
within the harbor, a seiche-like wave is trapped and
builds up and inundates the lowest area. Here, the
large MWH and inundation process is purely a site-
and-threshold effect.
Note that the change of the strike angle and the
centroid depth from S11 to S12 does not significantly
change the MWH spatial distribution and amplitude
(not shown). The example of Nice downtown severe
inundation shows that the site-and-threshold effect
operates at first order.
M. Ioualalen et al. Pure Appl. Geophys.
10. Discussion
The French–Italian Riviera is potentially exposed
not only to submarine landslide tsunamis but also to
earthquake-triggered tsunamis which can cause
locally significant runups. Two main tsunamigenic
historical events have raised this concern: the 1887
February 23 earthquake offshore of Imperia, Italy,
which triggered a noticeable tsunami, and the tsun-
amigenic landslide of October 16, 1979, which
caused 11 victims. The French–Italian Riviera is
sufficiently densely populated, to necessitate
addressing the tsunami issue as completely as possi-
ble. Studies on tsunamis triggered by landslides have
been already carried out (e.g., ASSIER-RZADKIEWICZ
et al. 2000; IOUALALEN et al. 2010; LABBE et al. 2012).
However, tsunamis triggered by earthquakes have not
yet been addressed in sufficient detail. The main
reason is the lack of large present-day earthquakes:
the area experiences each year several tens of earth-
quakes of magnitude less than 5, i.e., not
tsunamigenic. However, the February 23, 1887,
earthquake is quite emblematic for the area because it
is unusual. Therefore, its occurrence forces to (1) try
to propose potential earthquake source scenarios and
(2) to evaluate their tsunami impact.
The most recent work has been proposed by
LSI12. Based on the study of the morphology and the
seismotectonic of the area and on an ensemble of
tsunami numerical simulations they short-listed
potential rupture modes along the Ligurian Faults
system. They determined a preferred solution for the
1887 event (S7, Table 1). In this study we tested the
sensitivity of the modeling results to the grid spacing
by improving the computational grid (the coastal
bathymetry and topography accuracy). We show that
Figure 11Inundation and MWH map in the vicinity of Nice Massena and the port of Nice (downtown Nice city) for scenario S11 of Table 1. The
background bathymetry and topography are plotted with 10 m iso-levels
Tsunami Mapping Related to Local Earthquakes
their solutions are quantitatively very reasonable. In
particular the possible imprecision due to the level of
accuracy of the coastal topography is weaker than
possible errors that can be generated if dispersive
effects are not considered. Further, since the tide
gauge record reported in EVA and RABINOVICH (1997)
and used by LSI12 for scenario S7, might over-esti-
mate the wave amplitude by a factor of 2.4
(MAREMOTI Technical Report 2012), we also pro-
posed an alternative solution (S7bis) of magnitude
Mw 6.7 (Mw 6.9 for the one proposed by LSI12
(Table 1). This magnitude evaluation is still consis-
tent with the plausible magnitudes proposed
discussed by LSI12.
Then, we have computed the tsunami MWH map
of the area. It is shown that the tsunami impact is
quite local, with some locations reaching MWH
higher than 2–3 m. The result in itself is interesting
considering the industrial, the residential and touristic
occupancy of the area. In order to have a full picture
of the tsunami MWH potential over the entire
French-Italian Riviera, we considered further sce-
narios (also confined and identical in terms of
faulting) further west along the active LFS. We found
very similar wave MWH as for the 1887 scenarios
with local 3–4 m spots due to local site effects in the
western part of the Riviera. Finally the rupturing of
the entire LFS with a 3.3-m co-seismic slip may
trigger very significant tsunami amplitudes with
MWH as high as more than 25 m in specific places,
such as within downtown Nice city.
11. Conclusion
The work presented here is the continuation of
LSI12 study concerning the emblematic Ligurian
earthquake that occurred on the February 23, 1887,
offshore of Imperia, northern Italy. This earthquake is
quite special because its magnitude (Mw 6.9) was
much larger than the present-day ones computed from
the instrumental seismicity and it produced a
noticeable tsunami. The tsunami modeling is based
on the record of the subsequently triggered tsunami
(mainly a tide gauge record at Genoa, Italy) and on
the results of a seismotectonic study of the 1887
event and its context. In this paper we investigated
the tsunami hazard induced by the 1887 earthquake,
completed by other offshore earthquake scenarios at
the scale of the entire French–Italian Riviera. Con-
sidering the urban occupancy of the area, such a
relatively high magnitude earthquake has caused
severe damages in the Imperia area. Also, since the
1887 earthquake was tsunamigenic, it is of primary
interest to estimate the wave impact locally. In the
present study, we are concerned with the relationship
between the faulting and the tsunami maximum wave
height (MWH) coastal distribution over the Ligurian
area.
First, we deal with the 1887 tsunamigenic earth-
quake. Due to necessarily limited computing
facilities, LSI12 decided to build a 200-m grid
spacing computational domain. Since the scenarios
proposed are the only ones indeed quantifying the
rupture parameters (S6 and S7 in Table 1), it is
necessary to test if the resolution is sufficient. The
grid spacing precision is a recurrent issue in tsunami
modeling. We demonstrated that grid spacing does
not affect significantly the conclusions of LSI12.
Then, appearing that the tide gauge record
reported in EVA and RABINOVICH (1997) and used by
LSI12 for scenario S7, might over-estimate the wave
amplitude by a factor of 2.4 (MAREMOTI technical
report 2012), we also proposed a further solution
(S7bis) of magnitude Mw 6.7 (Mw 6.9 for the one
proposed by LSI12 (Table 1). We conjecture that the
set of two alternative (and exhaustive) solutions is
representative of the event.
Finally, we computed the MWH distribution
along the French-Italian Riviera. A significant MWH
is ‘‘predicted’’ (up to 2–3 m) that is consistent with
the observations reported following the February
23rd 1887 tsunami. Although the tsunami impact is
quite local, this can be explained by the limited
spatial extension of the ruptured area and thus by its
limited wave period.
Further scenarios are proposed to map more
completely the tsunami signature in this area. We first
considered the same ‘‘Ligurian-type’’ scenario but
shifted to the western part of the Ligurian Faults
system (offshore Nice/Monaco). In this way, the new
scenarios (S9 in Table 1) complemented by the 1887
ones cover the potential active faults system. The
MWH signature is quite similar to the 1887 event
M. Ioualalen et al. Pure Appl. Geophys.
with identified local spots, however shifted westward.
Finally, we test the rupturing of the entire LFS with
larger fault surfaces and co-seismic slips of 2 and
3.3 m. These last scenarios yielded very significant
tsunami spreading along more than 200 km of coast.
They can be considered as the largest potential event
in the regional geological context and their threat in
urbanized areas is analyzed. Considering the large
and growing urbanization of the area, we believe the
proposed mapping can be crucial in terms of tsunami
risk assessment. Considering the multiple scenarios
of LFS rupturing and the associated MWH maps that
have been computed we may reasonably conclude
that the tsunami threat is relatively significant and
uniform at the Italian side of the Riviera (from
Ventimiglia to Imperia) while it is more localized
(sporadic) at the French side from Antibes to Menton
with however higher local level of inundation, e.g.,
Nice city center (see maps for more details).
The area may encounter remote tsunamis (trans-
Mediterranean), but the developing Mediterranean
warning systems in project are expected to resolve
them (SCHINDELE et al. 2012). We then focused our
study on locally generated tsunami, possibly trig-
gered by earthquakes and/or submarine landslides.
The issue is crucial because the active faults and the
unstable continental slope are very close to the
coastline due to the narrow continental shelf. Con-
sequently the tsunami arrival time is a matter of a few
minutes that could never be resolved by any tsunami
warning system. This study is also complementary to
the work of IOUALALEN et al. (2010) regarding the
mapping of local tsunami impact within the Ligurian
area.
Acknowledgments
The MALISAR geophysical surveys were funded by
the Commission Nationale Flotte et Engins (CNFE-
IFREMER). This work was partly funded by the
Agence Nationale de la Recherche through the ANR
projects QSHA (‘‘Quantitative Seismic Hazard
Assessment’’, http://qsha.unice.fr/) and TSUMOD
(ANR-05-CATT-016-02). Finally, the authors
acknowledge with thanks the contribution of the
anonymous reviewers who contributed to the
improvement of the first draft manuscript.
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(Received March 6, 2013, revised July 8, 2013, accepted July 18, 2013)
Tsunami Mapping Related to Local Earthquakes