Inventory of Precipitation Triggered Landslides in the Winter of 2013 in Zagreb (Croatia, Europe)

Bernat, Sanja; Arbanas, Snježana Mihalić; Krkač, Martin

doi:10.1007/978-3-319-05050-8_128

Cited by 14 publications

(8 citation statements)

References 4 publications

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“…Analysis of data showed that during January, February and March 2013, cumulative monthly precipitation was 130-190% higher than the average monthly values for the same period from 1862 to 2014. The cumulative precipitation for a 3-month period in 2013 has the highest value in the last 150 years (Bernat et al 2014c). A comparison between precipitation conditions that caused landslides in NW Croatia and published global ID thresholds shows that precipitation conditions are lower than the threshold curves proposed by Caine (1980), Crosta and Frattini (2001), and Guzzetti et al (2008).…”

Section: Landslide Identification and Mappingmentioning

confidence: 83%

Landslide Risk Reduction in Croatia: Scientific Research in the Framework of the WCoE 2014–2017, IPL-173, IPL-184, ICL ABN

Arbanas

Krkač

et al. 2017

Advancing Culture of Living With Landslides

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In this paper scientific activities of the Croatian Landslide Group (CLG), World Centre of Excellence on Landslide Risk Reduction (WCoE) of the International Consortium on Landslide (ICL) for the period 2014-2017, are shortly described. The results of scientific research are presented through the fields of landslide science: landslide identification and mapping, landslide investigation and testing, landslide monitoring, landslide modelling and landslide stabilization and remediation. It is concluded that the resulting landslide inventory maps, regional empirical rainfall intensity-duration thresholds, kinematic landslide models and soil strength parameters, landslide movement prediction models, numerical models and simulations and behavior of geotechnical construction for landslide stabilization provide necessary information for landslide risk management in Croatia. Besides applied scientific research, the general objectives of ICL WCoE are achieved in the framework of two Croatian IPL Projects and regional ICL Adriatic-Balkan Network.

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Section: Landslide Identification and Mappingmentioning

confidence: 83%

Landslide Risk Reduction in Croatia: Scientific Research in the Framework of the WCoE 2014–2017, IPL-173, IPL-184, ICL ABN

Arbanas

Krkač

et al. 2017

Advancing Culture of Living With Landslides

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“…The climate of the City of Zagreb is continental with a mild maritime influence, with a mean annual precipitation (MAP) of 887 mm, and precipitation falls mostly in the period from May to November. Landslides are caused primarily by rainfall (Bernat, Mihalić Arbanas, & Krkač, 2014a) and human activities. In winter 2012/2013, the prolonged heavy rainfall periods and the rapid melting of a thick snow cover caused abundant landslide events in the hilly area of the city of Zagreb (Bernat, Mihalić Arbanas, & Krkač, 2014b).…”

Section: Study Areamentioning

confidence: 99%

Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)

2019

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Landslides in the Podsljeme area of the City of Zagreb cause significant economic losses, which have been increasing over the last several decades due to the urbanisation of hilly areas and the influence of climate changes. An airborne LiDAR digital terrain model (DTM) with a spatial resolution of 30 × 30 cm was used to prepare a landslide inventory map of the pilot area (21 km 2) with more than 700 identified landslides. The area of the smallest identified landslide is 43 m 2 , while 90% of the landslides are between 100 and 2,000 m 2. The frequency-size distribution of all mapped landslides in the pilot area shows a very high level of landslide inventory completeness. Therefore, it is concluded that the LiDAR-based terrain model is a valuable tool for the preparation of detailed landslide inventories in heavily vegetated regions such as the hilly area of Medvednica Mt.

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“…Figure 3. presents a precipitationtriggered seasonal landslide inventory with 55 landslides, which were compiled based on information that was collected from the City's ad- ministration, online media and field checking by a professional engineering geologist in November 2013 (BERNAT et al, 2014). From 1st January to 7th April 2013, the City of Zagreb experienced a period of intense rainfall and snowfall with cumulative values over the 97day period that exceeded 400 mm, which represents 46% of the mean annual precipitation (MAP).…”

Section: Study Areamentioning

confidence: 99%

“…1). The climate is continental with a mild maritime influence and a mean annual precipitation (MAP) of 883.6 mm (BERNAT et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Application of innovative technologies in landslide research in the area of the City of Zagreb (Croatia, Europe)

Arbanas¹,

Krkač²,

Bernat³

2016

Geol Cro

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This paper describes the application of advanced technologies for landslide detection, mapping and monitoring in the City of Zagreb since 2010. Airborne Light Detection and Ranging (LiDAR) data are used to visually identify landslides in the Podsljeme Zone over an area of 180 km 2 for the purpose of landslide inventory mapping. The total number of landslides in the analyzed area (approx. 1,600 landslides) is estimated based on the average landslide density (9 landslides per square km) from the most reliable geomorphological historical inventory produced in 1979. Examples of the visual interpretation of very-high-resolution bare-earth DEMs (Digital Elevation Model) are given to show the potential of these advanced techniques to identify the landslide contours of the very small, small and moderately small landslides that are characteristic of the study area, which is composed of engineering soils and/or soft rocks (marls). In the framework of the described landslide research, the biggest landslide in the Podsljeme Zone, the Kostanjek landslide (landslide area of 1 km 2), was also equipped with an automated near-real time monitoring system that encompassed approximately 40 sensors to monitor landslide movement and landslide causal factors. Monitoring of this deep and large landslide during multiple extreme hydro-meteorological events from January 2013 to January 2015 enabled collection of data for the analysis of landslide movement both on and below the surface as well as analysis of the relationship between landslide reactivations and their triggers, i.e., changes in groundwater level and precipitation. The final aim of the described scientific research in terms of landslide mapping and monitoring is its practical application in land-use planning and civil protection systems in the City of Zagreb. Namely, the conclusions propose reliable and efficient methods for landslide identification and monitoring, which are necessary to provide data and solutions for hazard and risk reduction to local authorities that are managed by the City.

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Inventory of Precipitation Triggered Landslides in the Winter of 2013 in Zagreb (Croatia, Europe)

Cited by 14 publications

References 4 publications

Landslide Risk Reduction in Croatia: Scientific Research in the Framework of the WCoE 2014–2017, IPL-173, IPL-184, ICL ABN

Landslide Risk Reduction in Croatia: Scientific Research in the Framework of the WCoE 2014–2017, IPL-173, IPL-184, ICL ABN

Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)

Application of innovative technologies in landslide research in the area of the City of Zagreb (Croatia, Europe)

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