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Numerical modeling of waves for a tsunami early warning system

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aFourier<br />

filter functions<br />

aFourier<br />

<strong>Numerical</strong> <strong>modeling</strong> <strong>of</strong> <strong>waves</strong> <strong>for</strong> a <strong>tsunami</strong> <strong>early</strong> <strong>warning</strong> <strong>system</strong><br />

1<br />

0.5<br />

0<br />

0 0.5 1 1.5 2<br />

1<br />

0.5<br />

short landslide<br />

(a<br />

0<br />

0 0.5 1 1.5 2<br />

1<br />

0.5<br />

(c<br />

0<br />

0 0.5 1 1.5 2<br />

f (Hz)<br />

(e<br />

1<br />

0.5<br />

long landslide<br />

(b<br />

0<br />

0 0.5 1 1.5 2<br />

1<br />

0.5<br />

(d<br />

0<br />

0 0.5 1 1.5 2<br />

1<br />

0.5<br />

(f<br />

0<br />

0 0.5 1 1.5 2<br />

f (Hz)<br />

Figure 4.13: Panels a and b: absolute values <strong>of</strong> the Fourier trans<strong>for</strong>m<br />

coefficients <strong>of</strong> the water surface elevations at point A, computed with the<br />

three dimensional model (thin black line) and with the depth integrated<br />

model, without any filter function (thick black line); panels c and d:<br />

frequency filter (continuous black lines) and landslide filter (dashed red lines);<br />

panels e and f: absolute values <strong>of</strong> the Fourier trans<strong>for</strong>m coefficients <strong>of</strong> the<br />

water surface elevations at point A, computed with the depth integrated<br />

model, with the frequency filter (continuous black lines) and with the<br />

landslide filter function (dashed red line).<br />

It is however clear that the presence <strong>of</strong> very high frequency <strong>waves</strong> is<br />

easily detectable when using a frequency-dispersive model. These <strong>waves</strong><br />

would not appear so cl<strong>early</strong> when employing non-dispersive models. In<br />

order to show this, simulations with the depth integrated model based on<br />

the LSWE have been carried out, which lets each component to propagate at<br />

the same celerity. In particular the same experiments were simulated soving<br />

the following equations<br />

∇h (gh∇hN)+ω 2 1<br />

N = −<br />

cosh (kh) fft(htt) (4.11)<br />

Università degli Studi di Roma Tre - DSIC 58

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