Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study

Di Traglia, Federico; Bartolini, Stefania; Artesi, Erica; Nolesini, Teresa; Ciampalini, Andrea; Lagomarsino, Daniela; Martí, Joan; Casagli, Nicola
January 2018
Landslides;Jan2018, Vol. 15 Issue 1, p21
Academic Journal
Susceptibility of intrusion-related landslides in an active volcano was evaluated coupling the landslide susceptibility estimation by random forest (RF), and the probabilistic volcanic vent opening distribution, as proxy for magma injection, using the QVAST tool. In order to develop and test the method proposed here, the RF/QVAST approach was adopted for Stromboli volcano (Southern Italy) since it experienced moderate to huge instability events, it is geomorphologically prone to instability events, and it is affected by active intense volcanic activity that can produce slope instability. The main destabilizing factors of the volcanic flanks are the slope, the aspect, the terrain roughness, the land cover and the litho-technical features of the outcropping rocks. Estimation of volcanic susceptibility shows that the areas with high probability of new vent opening are located in the north-western unstable volcano flank (Sciara del Fuoco), in the volcano summit and the north-eastern volcano flank coherent with the possible re-activation of the eruptive fissures related to the regional tectonic setting. The areas with higher probability of intrusion-related landslides are located in the upper part of the Sciara del Fuoco, while the rest of the island show moderate to low probability of intrusion-related landslide occurrence.


Related Articles

  • A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility. Viet-Hung Dang; Nhat-Duc Hoang; Le-Mai-Duyen Nguyen; Dieu Tien Bui; Pijush Samui // Forests (19994907);Jan2020, Vol. 11 Issue 1, p1 

    This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning algorithms, random forest classifier (RFC) and support vector machine (SVM),...

  • Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues. Catani, F.; Lagomarsino, D.; Segoni, S.; Tofani, V. // Natural Hazards & Earth System Sciences;2013, Vol. 13 Issue 11, p2815 

    Despite the large number of recent advances and developments in landslide susceptibility mapping (LSM) there is still a lack of studies focusing on specific aspects of LSM model sensitivity. For example, the influence of factors such as the survey scale of the landslide conditioning variables...

  • Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran. Pourghasemi, Hamid; Kerle, Norman // Environmental Earth Sciences;Feb2016, Vol. 75 Issue 3, p1 

    In many parts of the world, landslide susceptibility remains inadequately mapped, due to the lack of both data and suitable methods for widespread implementation. Iran is one of those countries with extensive landslide problems, with nearly 4900 large landslides occurring between 1993 and 2007....

  • New blockage delays Lake Mead third intake project.  // Las Vegas Business Press (10712186);1/3/2011, Vol. 28 Issue 1, p10 

    This article reports on setback faced by the construction of a third water intake at Lake Mead near Hoover Dam in southern Nevada due to an unexpected intrusion of water and mud for the second time in six months.

  • Fluidized sandstone intrusions as an indicator of Paleostress orientation, Santa Cruz, California. Boehm, A.; Moore, J.C. // Geofluids;May2002, Vol. 2 Issue 2, p147 

    Examines the fluidized sandstone intrusions as an indicator of Paleostress orientation in Santa Cruz, California. Emphasis of the integral parts of commercial hydrocarbon reservoirs; Sources of sandstone; Causes of fluid overpressure.

  • Water Intrusion Problems Eliminated.  // Fleet Equipment;Sep99, Vol. 25 Issue 9, p88 

    Focuses on the TotalGard Services introduced by Total Containment, Inc., which is said to be the only answer to water intrusion problems in underground containment systems. Capabilities; How Resump of the TotalGard Services eliminates water intrusion problems.

  • Geochemical Study of Palong Pluton at Negeri Sembilan- Pahang Border. Bin Selamat Din, Khairil Izam; Umor, Mohd Rozi // AIP Conference Proceedings;Dec2013, Vol. 1571 Issue 1, p420 

    The geochemical studies are carried out for igneous rocks from Palong Pluton at the border area of Negeri Sembilan and Pahang. The study area is about 250 km², covering the area of Kemayan, Pasoh and Serting. The purposes of the geochemical study are to classify and determine the chemical...

  • MODELING URBAN DYNAMICS USING RANDOM FOREST: IMPLEMENTING ROC AND TOC FOR MODEL EVALUATION. Ahmadlou, M.; Delavar, M. R; Shafizadeh-Moghadam, H.; Tayyebi, A. // International Archives of the Photogrammetry, Remote Sensing & S;2016, Vol. 41 Issue B2, p285 

    No abstract available.

  • URBAN ROAD DETECTION IN AIRBORNE LASER SCANNING POINT CLOUD USING RANDOM FOREST ALGORITHM. Kaczałek, B.; Borkowski, A. // International Archives of the Photogrammetry, Remote Sensing & S;2016, Vol. 41 Issue B3, p255 

    The objective of this research is to detect points that describe a road surface in an unclassified point cloud of the airborne laser scanning (ALS). For this purpose we use the Random Forest learning algorithm. The proposed methodology consists of two stages: preparation of features and...

  • FAST AND ROBUST SEGMENTATION AND CLASSIFICATION FOR CHANGE DETECTION IN URBAN POINT CLOUDS. Roynard, X.; Deschaud, J.-E.; Goulette, F. // International Archives of the Photogrammetry, Remote Sensing & S;2016, Vol. 41 Issue B3, p693 

    Change detection is an important issue in city monitoring to analyse street furniture, road works, car parking, etc. For example, parking surveys are needed but are currently a laborious task involving sending operators in the streets to identify the changes in car locations. In this paper, we...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics