Javascript must be enabled to continue!
Earthquake-induced landslides susceptibility assessment of the Abruzzo Region (Central Italy): a geomorphological approach.
View through CrossRef
<p>Earthquakes and consequent phenomena represent a major issue for human activities planning and fulfilment; within this framework, Earthquake-Induced Landslides (EILs) constitute major hazards, being often responsible for the greatest damages up to overshadowing those caused by the solely ground motion. Due to its geomorphological dynamics and strong seismicity, the Abruzzo Region (Central Italy) is severely affected by EILs, whose distribution results from the interaction between the seismic shaking and the local physiographic and geological-structural setting of the area. In this context, the present work focuses on the realisation of an EILs susceptibility map, following a heuristic approach combined with a statistical analysis, integrated using GIS technology. This approach leads to the identification of nine instability factors, including morphometric, lithological, geomorphological, and tectonic elements. These factors are analysed and assigned proper expert-based weights after the critical evaluation of literature data and available landslide inventories. Subsequently, they are combined into a preliminary susceptibility map wherein high/low numerical values correspond to a high/low propensity of the slope to fail. A statistical analysis is then executed on these values to derive the optimal number of classes by performing an unsupervised classification of preliminary susceptibility values. The total Within Clusters Sum of Squares (WCSS) and the Between Clusters Sum of Squares (BCSS) are hence computed, and the optimal number is derived by applying the elbow method. An absolute susceptibility scale is then introduced, with values ranging from the minimum to the maximum potential values of the area. Subsequently, statistics of clusters are analysed through violin plot diagrams and compared to classes of the absolute scale; in this phase, an algorithm is also applied to achieve the best differentiation among classes. The final map is created by grouping preliminary values in seven susceptibility classes ranging from very low to very high. The stepwise approach here presented has been applied to the whole Abruzzo Region, with ongoing specific site investigations in the areas severely affected by the 2009 L&#8217;Aquila earthquake and the 2016-2017 Central Italy seismic sequence. The applied methodology could constitute a scientific tool to better define situations that potentially lead to hazards following an earthquake and, consequently, to develop sustainable territorial management, loss-reduction measures, and post-earthquake reconstruction plans.</p>
Title: Earthquake-induced landslides susceptibility assessment of the Abruzzo Region (Central Italy): a geomorphological approach.
Description:
<p>Earthquakes and consequent phenomena represent a major issue for human activities planning and fulfilment; within this framework, Earthquake-Induced Landslides (EILs) constitute major hazards, being often responsible for the greatest damages up to overshadowing those caused by the solely ground motion.
Due to its geomorphological dynamics and strong seismicity, the Abruzzo Region (Central Italy) is severely affected by EILs, whose distribution results from the interaction between the seismic shaking and the local physiographic and geological-structural setting of the area.
In this context, the present work focuses on the realisation of an EILs susceptibility map, following a heuristic approach combined with a statistical analysis, integrated using GIS technology.
This approach leads to the identification of nine instability factors, including morphometric, lithological, geomorphological, and tectonic elements.
These factors are analysed and assigned proper expert-based weights after the critical evaluation of literature data and available landslide inventories.
Subsequently, they are combined into a preliminary susceptibility map wherein high/low numerical values correspond to a high/low propensity of the slope to fail.
A statistical analysis is then executed on these values to derive the optimal number of classes by performing an unsupervised classification of preliminary susceptibility values.
The total Within Clusters Sum of Squares (WCSS) and the Between Clusters Sum of Squares (BCSS) are hence computed, and the optimal number is derived by applying the elbow method.
An absolute susceptibility scale is then introduced, with values ranging from the minimum to the maximum potential values of the area.
Subsequently, statistics of clusters are analysed through violin plot diagrams and compared to classes of the absolute scale; in this phase, an algorithm is also applied to achieve the best differentiation among classes.
The final map is created by grouping preliminary values in seven susceptibility classes ranging from very low to very high.
The stepwise approach here presented has been applied to the whole Abruzzo Region, with ongoing specific site investigations in the areas severely affected by the 2009 L&#8217;Aquila earthquake and the 2016-2017 Central Italy seismic sequence.
The applied methodology could constitute a scientific tool to better define situations that potentially lead to hazards following an earthquake and, consequently, to develop sustainable territorial management, loss-reduction measures, and post-earthquake reconstruction plans.
</p>.
Related Results
A multidisciplinary approach to investigate the geomorphological evolution induced by landslides in the piedmont and coastal sectors of Abruzzo region (Central Italy)
A multidisciplinary approach to investigate the geomorphological evolution induced by landslides in the piedmont and coastal sectors of Abruzzo region (Central Italy)
<p>According to their structural-geomorphological features, different types of landslides, with variable areal extension, largely affect the Abruzzo region (Central I...
Landslide hazard in the Abruzzo Region (Central Italy): landslides case studies in different geomorphological/morphostructural environments
Landslide hazard in the Abruzzo Region (Central Italy): landslides case studies in different geomorphological/morphostructural environments
<p>Abruzzo Region (Central Italy) is largely affected by landslide phenomena, widespread from the mountainous to the coastal areas. The area is located in the central...
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
This study presents the impact of cumulative rainfall on landslides, following the analysis of cumulative rainfall for 20 days before the landslide. For the 1520 landslides analyze...
Spatial correlation between landslides and geotechnical factors using Random Forest and SHAP
Spatial correlation between landslides and geotechnical factors using Random Forest and SHAP
The activation as well as the consequences of landslides are difficult to predict, as they depend on factors characterized by large variability and uncertainties. The aim of this s...
Detection and Characterization of Active Landslides with Multisource SAR Data and Remote Sensing in Western Guizhou, China
Detection and Characterization of Active Landslides with Multisource SAR Data and Remote Sensing in Western Guizhou, China
Abstract
The western part of Guizhou is located in the second step of East Asia. Although the area is stratigraphically continuous and the surface is dominated by hard lime...
SUSCEPTIBILITY MODELLING OF LANDSLIDES IN CENTRAL NEPAL
SUSCEPTIBILITY MODELLING OF LANDSLIDES IN CENTRAL NEPAL
Background. Landslide processes in the Himalayas represent a major hazard threatening both humans lives and the socio-economic development of the region. The main goal of the prese...
2015 Nepal Earthquake: A Comparison between Landslide Inventories
2015 Nepal Earthquake: A Comparison between Landslide Inventories
<p>Three landslide inventories were prepared for the area affected by the 7.8 Mw Nepal earthquake (April 25, 2015). The first inventory contains 21,151 earthquake-ind...
Automatic regional identification of active and inactive landslides using satellite image analysis
Automatic regional identification of active and inactive landslides using satellite image analysis
Over the past decades, landslides have significantly affected extensive areas worldwide due to changing environmental conditions and human activities, causing major problems in the...

