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Archaeoseismology and Palaeoseismology in the Alpine ... - Tierra

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1 st INQUA‐IGCP‐567 International Workshop on Earthquake Archaeology <strong>and</strong> <strong>Palaeoseismology</strong><br />

ROCK FALL HAZARD MAPPING AND RUN OUT SIMULATION ‐ A CASE STUDY<br />

FROM BOLONIA BAY, SOUTHERN SPAIN<br />

N. Höbig (1), A. Braun (2), C. Grützner (1), T. Fernández‐Steeger (2) <strong>and</strong> K. Reicherter (1)<br />

(1) Institute of Neotectonics <strong>and</strong> Natural Hazards, RWTH Aachen University, Lochnerstr. 4‐20, 52056 Aachen. GERMANY.<br />

(2) Department of Eng<strong>in</strong>eer<strong>in</strong>g Geology <strong>and</strong> Hydrogeology, RWTH Aachen University, Lochnerstr. 4‐20, 52056 Aachen, GERMANY.<br />

nicole.hoebig@rwth‐aachen.de<br />

Abstract: For a case study on rock fall simulation <strong>and</strong> hazard mapp<strong>in</strong>g <strong>the</strong> rock fall site around <strong>the</strong> San Bartolomé mounta<strong>in</strong> ridge <strong>in</strong> Sou<strong>the</strong>rn<br />

Spa<strong>in</strong> was <strong>in</strong>vestigated. The major aim was to analyse <strong>the</strong> potential of rock falls <strong>and</strong> <strong>the</strong> risk of <strong>the</strong> <strong>in</strong>habitants of <strong>the</strong> villages Betis <strong>and</strong> El<br />

Chaparral. Thus rock fall debris were mapped <strong>in</strong> detail to analyse <strong>the</strong>m with regard to possible trigger mechanisms. Different empirical <strong>and</strong><br />

numerical runout simulations were computed <strong>and</strong> resulted <strong>in</strong> three possibilities for rock movement. Accord<strong>in</strong>g to trigger mechanisms <strong>and</strong><br />

predicted runout distances rock fall hazard maps were created <strong>and</strong> risk analysis was undertaken.<br />

Key words: rock falls, runout analysis, trigger mechanism, risk assessment<br />

INTRODUCTION<br />

A rock fall analysis for hazard mapp<strong>in</strong>g <strong>in</strong> <strong>the</strong> Bolonia Bay<br />

Region close to Tarifa (Spa<strong>in</strong>) was undertaken (Fig. 1). The<br />

NE <strong>and</strong> SW‐side of <strong>the</strong> San Bartolomé mounta<strong>in</strong> ridge<br />

were <strong>in</strong>vestigated <strong>and</strong> mapped <strong>in</strong> detail to identify <strong>the</strong><br />

hazardous areas. The deposits of large‐scaled rock fall<br />

blocks <strong>and</strong> debris were mapped <strong>and</strong> runout distances<br />

were determ<strong>in</strong>ed based on GIS analysis. S<strong>in</strong>ce hous<strong>in</strong>g<br />

areas are located beneath <strong>the</strong> source zone <strong>and</strong> large<br />

blocks may be found close to houses <strong>and</strong> settlements,<br />

<strong>the</strong>re is a risk for <strong>in</strong>habitants to be victim of rock falls <strong>and</strong><br />

damage of houses or <strong>in</strong>frastructure.<br />

Fig. 1: Overview of <strong>the</strong> San Bartolomé with <strong>the</strong> two ma<strong>in</strong><br />

<strong>in</strong>vestigation areas.<br />

GEOLOGICAL SETTING<br />

The Bolonia Bay is part of <strong>the</strong> Flysch zone of <strong>the</strong> Betic<br />

Cordillera. Steep rock walls, which consist of quartzitic<br />

Aljibe s<strong>and</strong>stone shape <strong>the</strong> NE‐ <strong>and</strong> SW‐flank of <strong>the</strong> San<br />

Bartolomé mounta<strong>in</strong> ridge. This turbiditic Miocene rock is<br />

<strong>in</strong>tensively wea<strong>the</strong>red <strong>and</strong> shows a dist<strong>in</strong>ct, perpendicular<br />

shaped jo<strong>in</strong>t pattern. The jo<strong>in</strong>t system causes large<br />

boulders, which are tilted or rotated out of <strong>the</strong> rock wall<br />

as a consequence of gravitational mass movements or<br />

possible earthquakes (Silva et al., 2009) (Fig. 2).<br />

The deposits are widespread beneath <strong>the</strong> source zone<br />

<strong>and</strong> reach runout distances of up to 2 kilometers <strong>and</strong> sizes<br />

52<br />

from 2 m 3 up to 350 m 3 . For more than 300 blocks data<br />

on size, shape, type of rock <strong>and</strong> location were collected.<br />

Fig. 2: Intensely jo<strong>in</strong>ed <strong>and</strong> wea<strong>the</strong>red source zone with<br />

rotat<strong>in</strong>g boulders on <strong>the</strong> N‐side of <strong>the</strong> San Bartolomé.<br />

RUNOUT ANALYSIS<br />

As a first step runout analysis was performed us<strong>in</strong>g<br />

empirical models. Most empirical models for rock fall<br />

analysis are based on relationships between<br />

topographical factors <strong>and</strong> runout distances. Two<br />

important models are <strong>the</strong> "Fahrböschung" or "angle of<br />

reach", <strong>in</strong>troduced 1932 by Heim <strong>and</strong> <strong>the</strong> "shadow angle"<br />

by Evans <strong>and</strong> Hungr (1993). The pr<strong>in</strong>ciple of both models<br />

is shown <strong>in</strong> figure 3. The identification of m<strong>in</strong>imum angles<br />

can serve as an approximate runout distance prediction.<br />

In different case studies m<strong>in</strong>imum values for <strong>the</strong> angle of<br />

reach <strong>and</strong> <strong>the</strong> shadow angle were postulated. Evans <strong>and</strong><br />

Hungr (1993) observed a lower limit for <strong>the</strong> angle of reach<br />

of 28,43° <strong>and</strong> a m<strong>in</strong>imum shadow angle of 27,5°. Dorren<br />

(2003) proposed a range of 22‐30° for <strong>the</strong> m<strong>in</strong>imum<br />

shadow angle.<br />

The angle of reach <strong>and</strong> <strong>the</strong> shadow angle were calculated<br />

for <strong>the</strong> rock fall deposits on <strong>the</strong> west flank of <strong>the</strong> San<br />

Bartolomé mounta<strong>in</strong> ridge us<strong>in</strong>g <strong>the</strong> geographical<br />

<strong>in</strong>formation system ArcGIS (ESRI).<br />

Compared to <strong>the</strong> proposed m<strong>in</strong>imum angles from <strong>the</strong><br />

case studies, <strong>the</strong> models fit quiet well for some areas<br />

close to <strong>the</strong> rock fall source zone (green background <strong>in</strong><br />

Fig. 4). In areas with large travel distances (more than 300

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