Archaeoseismology and Palaeoseismology in the Alpine ... - Tierra
Archaeoseismology and Palaeoseismology in the Alpine ... - Tierra
Archaeoseismology and Palaeoseismology in the Alpine ... - Tierra
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earthquake patterns <strong>in</strong> our trenches, <strong>and</strong> to <strong>the</strong> lack of<br />
dat<strong>in</strong>g.<br />
The results of both logic trees applied on <strong>the</strong> Roman ru<strong>in</strong>s<br />
of Baelo Claudia, although <strong>the</strong>y may not be comparable<br />
that easily, differ significantly <strong>and</strong> <strong>in</strong>dicate that <strong>the</strong><br />
archaeoseismological observations are more reliable than<br />
<strong>the</strong> palaeoseismological ones <strong>in</strong> that special case. As a<br />
st<strong>and</strong>‐alone technique, palaeoseismology would have to<br />
deal with many uncerta<strong>in</strong>ties especially caused by <strong>the</strong><br />
limits of site selection <strong>and</strong> earthquake identification.<br />
<strong>Archaeoseismology</strong> provides <strong>in</strong>formation that is more<br />
detailed <strong>and</strong> achieves a higher certa<strong>in</strong>ty on dist<strong>in</strong>ct<br />
events, but f<strong>in</strong>ds its weak po<strong>in</strong>ts <strong>in</strong> regional correlation of<br />
data. The comb<strong>in</strong>ation of both methods <strong>and</strong> <strong>the</strong>ir<br />
evaluation by <strong>the</strong> means of a logic tree lead to a higher<br />
level of confidence <strong>and</strong> give a more particularized quality<br />
estimation of <strong>the</strong> potential of an <strong>in</strong>vestigation site. Due to<br />
<strong>the</strong> lack of similar studies <strong>and</strong> <strong>the</strong> absence of sufficient<br />
numbers of PQFs <strong>and</strong> AQFs, <strong>the</strong> classification of our<br />
results is f<strong>in</strong>ally not possible.<br />
Acknowledgements: This study was f<strong>in</strong>ancially supported by <strong>the</strong><br />
German Research Foundation (DFG‐project Re 1361/9). We thank<br />
<strong>the</strong> Leibniz Institute at Kiel for radiocarbon dat<strong>in</strong>g <strong>and</strong> <strong>the</strong> Junta<br />
de Andalucía for <strong>the</strong> permission to work <strong>in</strong>side <strong>the</strong> ru<strong>in</strong>s of Baelo<br />
Claudia <strong>and</strong> <strong>in</strong> <strong>the</strong> Gibraltar Strait National Park.<br />
References<br />
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Fig. 4: The Atakan et al. (2000) logic tree for <strong>Palaeoseismology</strong> consists of 12 branches <strong>and</strong> 6 nodes at which certa<strong>in</strong> probabilities must be<br />
def<strong>in</strong>ed. The result is <strong>the</strong> probability of <strong>the</strong> preferred end solution, Pes. In <strong>the</strong> study discussed here, Pes is 0.0093, 20 times lower than <strong>the</strong><br />
one achieved by Atakan et al. (2000) at <strong>the</strong> Bree Fault example. UNIPAS V3.0 automatically computes <strong>the</strong> Pes based on <strong>the</strong> values<br />
entered <strong>and</strong> creates <strong>the</strong> graph.