Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/13713
Understanding the retreat of the Jurassic Cantabrian coast (N. Spain): comprehensive monitoring and 4D evolution model of the Tazones Lighthouse landslide
Title: Understanding the retreat of the Jurassic Cantabrian coast (N. Spain): comprehensive monitoring and 4D evolution model of the Tazones Lighthouse landslide
Authors: Domínguez Cuesta, María JoséGonzález Pumariega, PelayoValenzuela, PabloLópez Fernández, CarlosRodríguez Rodríguez, LauraBallesteros, DanielMora García, Manuel AntonioAutor AEMETMeléndez Asensio, MónicaHerrera Molina, FernandoMarigil Pérez, Miguel ÁngelPando, LuisCuervas Mons, JoséJiménez Sánchez, Montserrat
Keywords: Coastal cliff retreat; Jurassic Cantabrian Coast; Landslide monitoring; Rainfall influence; Maritime storms
Issue Date: 2022
Publisher: Elsevier
Citation: Marine Geology. 2022, 106836
Publisher version: https://doi.org/10.1016/j.margeo.2022.106836
Abstract: Forecasting coastal dynamics and sea cliff retreat under different sea level rise scenarios requires a good understanding of the conditioning factors and their relative contribution to cliff stability. The so-called Jurassic Cantabrian Coast extends along 76 km of the coastline of the Asturias region (N Spain) and is well-known worldwide due to its paleontological heritage, in particular the presence of dinosaur remains and footprints. The abundance of stratigraphic, paleontological and tectonic studies contrasts with the scarcity of studies focused on the stability of this rocky coastline where cliffs predominate, sometimes exceeding 120 m in height. In fact, evidence of current and recent instability processes can be observed along the entire coastline. In this regard, continuous monitoring is crucial to understand ongoing instabilities in rocky coastlines, as in these settings some instabilities might initiate as slow movements that induce subtle topographic changes whose detection from either satellite or aerial imagery is problematic due to the spatial and temporal resolutions.
Sponsorship : This research is part of 1) the “COSINES” Project [CGL2017-83909-R], Call 2017 for RETOS Projects funded by the Spanish Economy, Industry and Competitiveness Ministry-Ministerio de Economía, Industria y Competitividad (MINECO), the Spanish Research Agency-Agencia Estatal de Investigación (AEI) and the European Regional Development Found (FEDER) and 2) the GEOCANCOSTA research group, supported by the Asturian Regional Government (Spain) [grant number GRUPIN-IDI-2018-184].
URI: http://hdl.handle.net/20.500.11765/13713
ISSN: 0025-3227
Appears in Collections:Artículos científicos 2019-2022


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