Landslide Susceptibility Maps for Spatial Planning in Lower Austria

Bell, Rainer; Glade, Thomas; Granica, Klaus; Heiss, Gerhard; Leopold, Philip; Petschko, Helene; Pomaroli, Gilbert; Proske, Herwig; Schweigl, Joachim

doi:10.1007/978-3-642-31325-7_60

Cited by 10 publications

(11 citation statements)

References 2 publications

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“…Accordingly, the study area was divided into 16 modelling domains based on a simplified 1 : 200 000 lithological map ( Fig. 1; Schnabel, 2002;Bell et al, 2013). The lithological map gives details on the parent material available for soil formation.…”

Section: Modelling Of Heterogeneous Areasmentioning

confidence: 99%

Assessing the quality of landslide susceptibility maps – case study Lower Austria

Petschko

Brenning

Bell

et al. 2014

Nat. Hazards Earth Syst. Sci.

212

129

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Abstract. Landslide susceptibility maps are helpful tools to identify areas potentially prone to future landslide occurrence. As more and more national and provincial authorities demand for these maps to be computed and implemented in spatial planning strategies, several aspects of the quality of the landslide susceptibility model and the resulting classified map are of high interest. In this study of landslides in Lower Austria, we focus on the model form uncertainty to assess the quality of a flexible statistical modelling technique, the generalized additive model (GAM). The study area (15 850 km 2 ) is divided into 16 modelling domains based on lithology classes. A model representing the entire study area is constructed by combining these models. The performances of the models are assessed using repeated k-fold cross-validation with spatial and random subsampling. This reflects the variability of performance estimates arising from sampling variation. Measures of spatial transferability and thematic consistency are applied to empirically assess model quality. We also analyse and visualize the implications of spatially varying prediction uncertainties regarding the susceptibility map classes by taking into account the confidence intervals of model predictions. The 95 % confidence limits fall within the same susceptibility class in 85 % of the study area. Overall, this study contributes to advancing open communication and assessment of model quality related to statistical landslide susceptibility models.

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Section: Modelling Of Heterogeneous Areasmentioning

confidence: 99%

Assessing the quality of landslide susceptibility maps – case study Lower Austria

Petschko

Brenning

Bell

et al. 2014

Nat. Hazards Earth Syst. Sci.

212

129

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“…The case study from Predeal is different to other studies of landslide susceptibility in Lower Austria (Bell et al . ) or Sub‐Carpathians in Romania (Constantin et al . ) since it was focused at a scale of 1:5000 (similar to urban master plan maps) and as a result could be integrated into the urban planning strategies relatively easily.…”

Section: Discussionmentioning

confidence: 99%

Integration of landslide susceptibility assessment in urban development: a case study in Predeal town, Romanian Carpathians

Mihai

Săvulescu

Şandric

et al. 2014

Area

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The town of Predeal is the highest altitude urban settlement in the Romanian Carpathians (975-1060 m) and is a famous regional skiing resort. Recent urban extension of the settlement on to areas previously covered by landslides represents a key issue and potential hazard for future urban development. In order to provide data for the urban planning process, a landslide susceptibility assessment was performed. The 'Romanian methodology for landslide susceptibility assessment' , an expert-based method, was integrated with other digital data available. Landslide susceptibility classes were defined on a probabilistic scale adapted according to the threshold for triggering landslides. Urban development issues were approached as an association between the landslide susceptibility map (to be utilised by local authorities) and recent changes to the built environment. Housing has been extended onto areas previously affected by landslides due to a real-estate boom. An urban development scenario, focused on potential forest stand clearance, within a representative urban district was used to demonstrate the consequences of landslides to local authorities.

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“…In order to generate an enhanced landslide susceptibility map for Vorarlberg (including e.g. an enlarged landslides inventory), we used a routine which was already successfully applied to two other provinces in Austria (Petschko et al, 2013b(Petschko et al, , 2014Bell et al, 2013;Klingseisen and Leopold, 2006). Three major data sets constitute the main input for deriving model input parameters as well as for model training and evaluation purposes:…”

Section: Modeling Landslide Susceptibilitymentioning

confidence: 99%

On the nexus between landslide susceptibility and transport infrastructure – agent-based vulnerability assessment of rural road networks in the Eastern European Alps

Schlögl

Avian

Richter

et al. 2018

Preprint

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Abstract. Road networks are complex interconnected systems. Any sudden disruption can result in debilitating impacts on human life or the economy. Interruptions of the transport flow may lead to potentially severe consequences in terms of both direct and indirect losses. In particular, road systems in mountainous areas do not feature redundant elements at comparable economic efficiency. Therefore, assessment of network vulnerability is of major importance for guaranteeing the smooth functioning of societies, especially in those regions. Among various menacing hazards, landslides protrude as particularly destructive events jeopardizing the integrity of land transport systems by causing structural damage and network interruptions. The aim of this paper is to present how road infrastructure is vulnerable towards landslides events, with emphasis on the consequences for the affected road users. This is addressed on the Austrian region Vorarlberg, which allows cross-learning and cross-comparison of, for example, rural and urban areas, also at different scales. The focus of this case study is on resilience issues and support for decision making in the context of a large scale sectoral approach. By taking into account derivates of a high-resolution digital terrain model as well as geological properties, a landslide susceptibility map of the test region is derived by means of the weight of evidence method. This susceptibility map is concatenated with historic data of landslide inventories and a digital road graph in order to identify critical sections of the road network. Subsequently, effects of interruptions of the road network at these critical links are analyzed by applying a mesoscopic multi-agent transport simulation model. Results show the merits of using agent-based traffic modeling for assessing the impacts of road network interruptions on rural communities by providing insight into the characteristics of the population affected, as well as the effects on its daily routine in terms of detour costs.

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Landslide Susceptibility Maps for Spatial Planning in Lower Austria

Cited by 10 publications

References 2 publications

Assessing the quality of landslide susceptibility maps – case study Lower Austria

Assessing the quality of landslide susceptibility maps – case study Lower Austria

Integration of landslide susceptibility assessment in urban development: a case study in Predeal town, Romanian Carpathians

On the nexus between landslide susceptibility and transport infrastructure – agent-based vulnerability assessment of rural road networks in the Eastern European Alps

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