Rainfall thresholds for rainfall-induced landslides in Slovenia

Rosi, Ascanio; Peternel, Tina; Jemec-Auflič, Mateja; Komac, Marko; Segoni, Samuele; Casagli, Nicola

doi:10.1007/s10346-016-0733-3

Cited by 83 publications

(54 citation statements)

References 45 publications

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“…In WP 3 the research activities include the development of a physically-based model, called HIRESSS Mercogliano et al 2013), for the real time prediction of shallow landslides induced by rain on large areas, predictive statistical models (SIGMA and MACUMBA models) (Martelloni et al 2012;Lagomarsino et al 2013;Segoni et al 2014a, b;Rosi et al 2016) based on the identification of rainfall thresholds for triggering landslides, and a nowcasting system which includes a forecasting and alert system valid at the national level for landslides with fast kinematics (not monitorable by satellite).…”

Section: Wcoe (2014-2017) Activities Research Activitiesmentioning

confidence: 99%

Advanced Technologies for Landslides (WCoE 2014–2017, IPL-196, IPL-198)

Tofani

Catani

Moretti

et al. 2017

Advancing Culture of Living With Landslides

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Section: Wcoe (2014-2017) Activities Research Activitiesmentioning

confidence: 99%

Advanced Technologies for Landslides (WCoE 2014–2017, IPL-196, IPL-198)

Tofani

Catani

Moretti

et al. 2017

Advancing Culture of Living With Landslides

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“…6 indicate that when using empirical rainfall-threshold curves as part of an Early Warning System in Slovenia, different empirical curves (Caine 1980;Clarizia et al 1996;Aleotti 2004;Guzzetti et al 2008) should be applied using a rainfall measuring network with an appropriate high density. This step was recently partially carried out by dividing Slovenia into four regional units, and by using rainfall data from 41 pluviometers (Rosi et al 2016). Both studies confirmed that No Rain Gap (Rosi et al 2016), respectively Inter-Event Time (Bezak et al 2015a), as a parameter indicating the number of consecutive hours without rain, has a large impact on rainfall intensity and rainfall duration values.…”

Section: Bilateral Research Cooperationmentioning

confidence: 99%

“…This step was recently partially carried out by dividing Slovenia into four regional units, and by using rainfall data from 41 pluviometers (Rosi et al 2016). Both studies confirmed that No Rain Gap (Rosi et al 2016), respectively Inter-Event Time (Bezak et al 2015a), as a parameter indicating the number of consecutive hours without rain, has a large impact on rainfall intensity and rainfall duration values.…”

Section: Bilateral Research Cooperationmentioning

confidence: 99%

Mechanisms of Landslides and Creep in Over-Consolidated Clays and Flysch (WCoE 2014–2017)

Mikoš

Logar

Maček

et al. 2017

Advancing Culture of Living With Landslides

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The Faculty of Civil and Geodetic Engineering of the University of Ljubljana (UL FGG), Slovenia, Europe, was voted in 2014 at the 3rd World Landslide Forum in Beijing, China to be one of the 15 new World Centres of Excellence (WCoE) in Landslide Disaster Reduction for the period 2014-2017. This successful nomination followed the period 2011-2014, in which UL FGG successfully fulfilled the role as one of the WCoEs for the second time. The title of the activities of the WCoE in this third term was slightly modified to be "Mechanisms of Landslides and Creep in Over-Consolidated Clays and Flysch". We can divide the activities of the WCoE at UL FGG into international and national research activities. The international ones consisted of the ICL related activities with the main task of being the main organizer of this 4th World Landslide Forum 2017, international cooperation, European research activities, and bilateral cooperation. The national ones consisted of the national projects and the national research program "Water Science and Technology, and Geotechnics". In the paper, these activities of the WCoE at UL FGG are elaborated in more detail, with a comprehensive list of publications to show the dissemination and capacity building efforts.

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“…It should be stressed that the objective of regional warning systems based on empirical rainfall thresholds is not to forecast where and when a single landslide may occur, but is to warn when a more or less wide portion of territory may be critically exposed to one or more landslides (Guzzetti et al 2007;Vennari et al 2014;Rosi et al 2016). However, SIGMA encompasses some features addressed to reduce the spatial uncertainty.…”

Section: Sigma Early Warning Systemmentioning

confidence: 99%

The impact of rainfall time series with different length in a landslide warning system, in the framework of changing precipitation trends

Segoni

Rosi

Lagomarsino

et al. 2016

Geoenviron Disasters

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Background: This study explores some possible impacts that climate change could have in regional scale landslide early warning systems based on rainfall thresholds. The early warning system of the Emilia Romagna region (Italy), was used as a case of study to assess how much the changing precipitation trends can affect the rainfall parameters used by the warning system and to assess whether the predictive power is higher when its thresholds are defined using long (60 years) rainfall time series or using a shorter (10 years) but more recent dataset. Results: In our case of study, the use of recent but limited rainfall time series, although more representative of the contemporary rainfall regime, is a worse predictor compared to the longest possible rainfall datasets. The analysis of 60-years-long rainfall series facilitated the identification of extreme and anomalous events, as they better stand out from the average time series.

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Rainfall thresholds for rainfall-induced landslides in Slovenia

Cited by 83 publications

References 45 publications

Advanced Technologies for Landslides (WCoE 2014–2017, IPL-196, IPL-198)

Advanced Technologies for Landslides (WCoE 2014–2017, IPL-196, IPL-198)

Mechanisms of Landslides and Creep in Over-Consolidated Clays and Flysch (WCoE 2014–2017)

The impact of rainfall time series with different length in a landslide warning system, in the framework of changing precipitation trends

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