A new approach for landslide-induced damage assessment

Abstract

The accurate evaluation of landslide-induced damage is a necessity for planning of proper and effective mitigation measures. It requires the implementation of field investigations to identify structural failures to more effectively trace landslide boundaries. Many methods have been proposed to classify landslide-induced damage of buildings. The existing methods demonstrate several advantages and drawbacks depending on the parameters considered, as lack of some important features and difficulties in applicability. A new classification approach of landslide-induced damage of facilities is proposed, which specifically focuses on assessing of damage degree and its relationship to the ground motion intensity and impact severity. The new approach is designed in two steps: a chart utilized during surveys to quantify cracks on structures and ground surface; an a posteriori ranking of structures performed using a cell-grid matrix. Furthermore, a damage recording scheme useful for field surveying is proposed. This approach considers several parameters derived from different existing methodologies by smoothing out drawbacks and homogenizing the considered features. The resulting approach provides a new procedure of landslide-induced damage assessment adoptable in case of private dwellings, as it does not require internal accessibility, and it is exploitable for different landslide events and for different kinds of structures and facilities.

Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study

“…The four classes system ranges between weak (thin cracks on roads and sidewalks) and very severe (extensive ground cracking with scarps and counterscarps associated with distorted or tilted buildings). For a complete explanation of the classification, we refer to Del Soldato et al (2017).…”

“…Figure 4 shows a severity classification of the main fracture systems detected during the field and helicopter surveys. This classification, firstly presented by Del Soldato et al (2017), is specifically designed for evaluating landslide-induced fractures and building damage. It is based on the morphological characteristics of the fracture (opening, length, etc.…) and on the type of surface involved (bare ground, vegetated surface, roads, etc.…).…”

Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy)

“…This affirmation is supported by several data sets showing the events and people involved in landslide occurrences as well as the economic and social consequences and the damage to structures and infrastructure (Schuster and Highland 2001;Kjekstad and Highland 2009;Del Soldato et al 2017). The Italian Landslides Database includes up to 528.903 landslides in Italy, which is the European country with the highest density of landslides (the landslide area represents 7.3% of the territory) (Herrera et al 2018).…”

Ground deformation and associated hazards in NW peloponnese (Greece)

“…Sentinel-1, in order to monitor the evolution of the landslide displacement, to categorize the presently SoA and to investigate the evolution of the subsidence in the coastal areas. Furthermore, with more data and with high spatial resolution, landslide and subsidence effects on structures and infrastructures could be investigated (Herrera et al, 2010;Ciampalini et al, 2014;Sanabria et al, 2014;Bianchini et al, 2017;Del Soldato et al, 2017;. …”

“…Subsidence and landslide phenomena affecting urbanized areas generate important social and economic losses (Klose, Damm, & Terhorst, 2015;Schuster & Highland, 2001;) in addition to important damage on structures and infrastructures (Bianchini, Nolesini, Del Soldato, & Casagli, 2017;Ciampalini et al, 2014;Del Soldato et al, 2017, 2016. To reduce the cost of disasters influencing regions affected by multi-risks, a proper land management and planning play a key role (Del Ventisette, Righini, Moretti, & Casagli, 2014;Guzzetti et al, 2012).…”