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Dive into the research topics where Clàudia Abancó is active.

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Featured researches published by Clàudia Abancó.


Landslides | 2014

Results and experiences gathered at the Rebaixader debris-flow monitoring site, Central Pyrenees, Spain

Marcel Hürlimann; Clàudia Abancó; José Moya; I. Vilajosana

The wired and wireless monitoring system installed in the Rebaixader catchment detected six debris flows and 11 debris floods between 2009 and 2012. Apart from results directly related to the processes, many experiences associated with monitoring were collected. Debris flows and debris floods showed clear differences in both the recorded data and field observations. The distinction was especially visible in the stage measurements and the ground vibration registered by the most downstream geophone. At this geophone, a positive relation between the maximum ground vibration and the volume was also observed. The triggering of most events was associated with short, high-intensity rainstorms in summer, but some were also generated in spring, when the melting of snow cover and frozen soil played an additional role. A positive correlation between the volume and both the amount and the intensity of the triggering rainfall was observed. Regarding technical aspects, a switch between a “no-event” mode with a low sample rate and an “event” mode with a fast sampling was particularly useful at the station that register the passing of a flow. In addition, the stations, which most recently were installed at Rebaixader, apply wireless devices because wireless techniques include multiple advantages against standard wired systems. Although recorded data or even video images provide detailed information on the debris-flow behavior, we strongly recommend periodic field surveys along the entire torrent to verify and improve the interpretation obtained from the monitoring system.


Sensors | 2012

Transformation of Ground Vibration Signal for Debris-Flow Monitoring and Detection in Alarm Systems

Clàudia Abancó; Marcel Hürlimann; Bruno Fritschi; Christoph Graf; José Moya

Debris flows are fast mass movements formed by a mix of water and solid materials, which occur in steep torrents, and are a source of high risks for human settlements. Geophones are widely used to detect the ground vibration induced by passing debris flows. However, the recording of geophone signals usually requires storing a huge amount of data, which leads to problems in storage capacity and power consumption. This paper presents a method to transform and simplify the signals measured by geophones. The key input parameter is the ground velocity threshold, which removes the seismic noise that is not related to debris flows. A signal conditioner was developed to implement the transformation and the ground velocity threshold was set by electrical resistors. The signal conditioner was installed at various European monitoring sites to test the method. Results show that data amount and power consumption can be greatly reduced without losing much information on the main features of the debris flows. However, the outcome stresses the importance of choosing a ground vibration threshold, which must be accurately calibrated. The transformation is also suitable to detect other rapid mass movements and to distinguish among different processes, which points to a possible implementation in alarm systems.


Computers & Geosciences | 2014

Processing the ground vibration signal produced by debris flows

M. Arattano; Clàudia Abancó; Velio Coviello; Marcel Hürlimann

Ground vibration sensors have been increasingly used and tested, during the last few years, as devices to monitor debris flows and they have also been proposed as one of the more reliable devices for the design of debris flow warning systems. The need to process the output of ground vibration sensors, to diminish the amount of data to be recorded, is usually due to the reduced storing capabilities and the limited power supply, normally provided by solar panels, available in the high mountain environment. There are different methods that can be found in literature to process the ground vibration signal produced by debris flows. In this paper we will discuss the two most commonly employed: the method of impulses and the method of amplitude. These two methods of data processing are analyzed describing their origin and their use, presenting examples of applications and their main advantages and shortcomings. The two methods are then applied to process the ground vibration raw data produced by a debris flow occurred in the Rebaixader Torrent (Spanish Pyrenees) in 2012. The results of this work will provide means for decision to researchers and technicians who find themselves facing the task of designing a debris flow monitoring installation or a debris flow warning equipment based on the use of ground vibration detectors. We present the processing of the seismic signal produced by a debris flow.Two methods of seismic data processing, amplitude and impulses, are compared.We process the geophone signal of a debris flow to reveal its main features.The processing of the debris flow seismic signal reveals to be useful for warning.A geophone network allows an early detection of debris flow for warning purposes.


Natural Hazards | 2014

Estimate of the debris-flow entrainment using field and topographical data

Clàudia Abancó; Marcel Hürlimann

Abstract The entrainment of material is a common process in debris-flow behaviour and can strongly increase its total volume. However, due to the complex nature of the process, the exact mechanisms of entrainment have not yet been solved. We analysed geomorphological and topographical data collected in 110 reaches of 17 granular debris flows occurred in the Pyrenees and the European Alps. Four governing factors (sediment availability, channel-bed slope, channel cross section shape and upstream-contributing area) were selected and defined for all the 110 reaches. One dataset of the resulting database was used to develop two models to estimate the erosion rates based on the governing factors: a formula derived from multiple linear regression (MLR) analysis and a decision tree (DT) obtained from J48 algorithm. The models obtained using these learning techniques were validated in another independent dataset. In this validation set, the DT model revealed better results. The models were also implemented in a torrent (test set), where the total debris-flow volume was known and two empirical methods (available in literature) were applied. This test revealed that both MLR and DT predict more accurately the final volume of the event than the empirical equations for volume prediction. Finally, a general DT was proposed, which includes three governing factors: sediment availability, channel-bed slope and channel cross section shape. This DT may be applied to other regions after adapting it regarding site-specific characteristics.


Archive | 2013

Experiences of Debris-Flow Monitoring and Warning at Catchment Scale in the Pyrenees

Marcel Hürlimann; Clàudia Abancó; José Moya

Debris-flow monitoring improves the understandings of debris flows and also provides fundamental information for an efficient early warning and alarm system (EWAS), which commonly focuses on ground vibration and flow depth. Preliminary results from the Senet station (Central Pyrenees, Spain) show that monitoring is a complex task, especially if different torrential processes should be distinguished using merely geophone data. Video images are not useful for an EWAS, but strongly improves the analysis, because they allow to identify the flow type and to characterise the ground vibrations corresponding to each type. In addition, an EWAS can also be based on triggering rainfall patterns, which have to be defined by a one-parameter o multi-parameter condition. Our first experiences on the possible implementation of an EWAS at Senet test site are promising, but indicate the complexity regarding the critical rainfall conditions, the definition of reliable thresholds to avoid false alarms and the difficulties related to technical shortcomings.


Natural Hazards and Earth System Sciences | 2013

Analysis of the ground vibration generated by debris flows and other torrential processes at the Rebaixader monitoring site (Central Pyrenees, Spain)

Clàudia Abancó; Marcel Hürlimann; José Moya


Landslides | 2012

Rockfalls detached from a lateral moraine during spring season. 2010 and 2011 events observed at the Rebaixader debris-flow monitoring site (Central Pyrenees, Spain)

Marcel Hürlimann; Clàudia Abancó; José Moya


Journal of Hydrology | 2016

Critical rainfall conditions for the initiation of torrential flows: results from the Rebaixader catchment (Central Pyrenees)

Clàudia Abancó; Marcel Hürlimann; José Moya; Marc Berenguer


Archive | 2011

DEBRIS-FLOW PROTECTION IN RECURRENT AREAS OF THE PYRENEES. EXPERIENCE OF THE VX SYSTEMS FROM OUTPUT RESULTS COLLECTED IN THE PIONEER MONITORING STATION IN SPAIN

Roberto Luis-Fonseca; Clàudia Abancó; José Moya; Jesús Fernández; Geobrugg Ibérica; Forestal Catalana


International Journal of Erosion Control Engineering | 2016

Methods of data processing for debris flow seismic warning

M. Arattano; Velio Coviello; Clàudia Abancó; Marcel Hürlimann; Brian W. McArdell

Collaboration


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Marcel Hürlimann

Polytechnic University of Catalonia

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José Moya

Polytechnic University of Catalonia

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Guillaume Chevalier

Polytechnic University of Catalonia

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M. Arattano

National Research Council

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Velio Coviello

National Autonomous University of Mexico

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Cristina Baeza

Polytechnic University of Catalonia

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Marc Berenguer

Polytechnic University of Catalonia

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Pere Oller

Generalitat of Catalonia

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Ramon Copons

University of Barcelona

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