Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/8651
Meteorological patterns linked to landslide triggering in Asturias (NW Spain): a preliminary analysis
Title: Meteorological patterns linked to landslide triggering in Asturias (NW Spain): a preliminary analysis
Authors: Valenzuela, PabloIglesias, MiguelDomínguez Cuesta, María JoséMora García, Manuel AntonioAutor AEMET
Keywords: Landslide; Rainfall; Meteorological pattern; Asturias
Issue Date: 2018
Publisher: Multidisciplinary Digital Publishing Institute
Citation: Geosciences. 2018, 8(1), 18
Publisher version: https://dx.doi.org/10.3390/geosciences8010018
Abstract: Asturias is one of the most landslide prone areas in the north of Spain. Most landslides are linked to intense and continue rainfall events, especially between October and May. This fact points out precipitation as the main triggering factor in the study area. Thirteen rainfall episodes that caused 1064 landslides between 2008 and 2016 have been selected for its study. Landslide records come from the Principality of Asturias Landslide Database (BAPA) and meteorological data from the Spanish Meteorological Agency (AEMET). Meteorological conditions which took place during each period have been characterized by using NCEP/NCAR Reanalysis data. Four main landslide-triggering meteorological patterns have been identified for the Asturian territory: Strong Atlantic Anticyclone pattern (SAA), Atlantic Depression pattern (AD), Anticyclonic ridge pattern (AR) and Cut-off Low pattern (CL).
Sponsorship : This research is funded by the Department of Employment, Industry and Tourism of the Government of Asturias, Spain, and the European Regional Development Fund FEDER, within the framework of the research grant “GEOCANTABRICA: Procesos geológicos modeladores del relieve de la Cordillera Cantábrica” (FC-15-GRUPIN14-044), and supported on the cooperation between the Department of Geology at the University of Oviedo and the AEMET.
URI: http://hdl.handle.net/20.500.11765/8651
ISSN: 2076-3263
Appears in Collections:Artículos científicos 2015-2018


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