scholarly journals Probabilistic identification of rockfall source areas at regional scale in El Hierro (Canary Islands, Spain)

Geomorphology ◽  
2021 ◽  
Vol 381 ◽  
pp. 107661
Author(s):  
Mauro Rossi ◽  
Roberto Sarro ◽  
Paola Reichenbach ◽  
Rosa María Mateos
Keyword(s):  
Canary Islands ◽  
Regional Scale ◽  
Source Areas ◽  
El Hierro

Radon measurements in public buildings in El Hierro, Canary Islands (Spain)

2021 ◽  
Author(s):  
Juan C. Santamarta ◽  
Luis E. Hernández-Gutiérrez ◽  
Jesica Rodríguez-Martín ◽  
Anastasia Hernández Alemán ◽  
José Luis Gutiérrez Villanueva ◽  
...  
Keyword(s):  
Canary Islands ◽  
Public Buildings ◽  
El Hierro ◽  
Radon Measurements

Seismic tomography model reveals mantle magma sources of recent volcanic activity at El Hierro Island (Canary Islands, Spain)

2014 ◽  
Vol 199 (3) ◽  
pp. 1739-1750 ◽  
Author(s):  
Araceli García-Yeguas ◽  
Jesús M. Ibáñez ◽  
Ivan Koulakov ◽  
Andrey Jakovlev ◽  
M. Carmen Romero-Ruiz ◽  
...  
Keyword(s):  
Canary Islands ◽  
Volcanic Activity ◽  
Seismic Tomography ◽  
Recent Volcanic Activity ◽  
El Hierro ◽  
Magma Sources ◽  
Mantle Magma

Genetic sexing to determine the optimal discriminant functions for the analysis of archaeological remains from El Hierro (Canary Islands)

2013 ◽  
Vol 40 (12) ◽  
pp. 4411-4419 ◽  
Author(s):  
Alejandra C. Ordóñez ◽  
M. Arnay-de-la-Rosa ◽  
R. Fregel ◽  
A. Trujillo-Mederos ◽  
J. Pestano ◽  
...  
Keyword(s):  
Canary Islands ◽  
Archaeological Remains ◽  
Discriminant Functions ◽  
Genetic Sexing ◽  
El Hierro

Lee slope windstorm and inversion-trapped dust over El Hierro, Canary Islands

Weather ◽  
2006 ◽  
Vol 61 (2) ◽  
pp. 53-54
Author(s):  
Alan Lapworth
Keyword(s):  
Canary Islands ◽  
El Hierro ◽  
And Inversion

scholarly journals Volcanic signatures in time gravity variations during the volcanic unrest on El Hierro (Canary Islands)

2014 ◽  
Vol 119 (6) ◽  
pp. 5033-5051 ◽  
Author(s):  
S. Sainz-Maza Aparicio ◽  
J. Arnoso Sampedro ◽  
F. Gonzalez Montesinos ◽  
J. Martí Molist
Keyword(s):  
Canary Islands ◽  
Volcanic Unrest ◽  
El Hierro ◽  
Gravity Variations

First study of the bat fossil record of the mid-Atlantic volcanic islands

2021 ◽  
pp. 1-15
Author(s):  
Javier GONZÁLEZ-DIONIS ◽  
Carolina CASTILLO RUIZ ◽  
Penélope CRUZADO-CABALLERO ◽  
Elena CADAVID-MELERO ◽  
Vicente D. CRESPO
Keyword(s):  
Atlantic Ocean ◽  
Iberian Peninsula ◽  
Central Europe ◽  
Canary Islands ◽  
Fossil Record ◽  
Dental Morphology ◽  
Lava Tubes ◽  
El Hierro ◽  
Volcanic Islands ◽  
Fossil Data

ABSTRACT Bats are one of the most abundant and important mammals in ecosystems. However, their fossil record is scarce and fragile, making them difficult to find. Accordingly, there is no record of this group in the volcanic islands of the mid-Atlantic Ocean apart from the Canary Islands. This paper studies the first bat fossil record of the Canary Islands (Spain). The material studied is found within two Quaternary lava tubes, Cueva de los Verdes on Lanzarote and Cueva Roja on the island of El Hierro. The dental and humeral morphology and biometry are analysed and compared with current specimens. Among our results we highlight the first fossil data of two species endemic to the islands of the mid-Atlantic Ocean, Plecotus teneriffae and Pipistrellus maderensis, the former from the Canary Islands and the latter from the Azores, Madeira and the Canary Islands. We also confirm the presence of Pipistrellus kuhlii in the fossil record of the island of Lanzarote. No differences are observed between the dental morphology of the current and the fossil populations of P. maderensis and Pl. teneriffae. In the case of P. kuhlii, the populations of the Canary Islands and the Iberian Peninsula show differences in the paraconule with respect to the populations from central Europe. Palaeoecological studies of these taxa suggest that these islands presented a similar habitat when the sites were formed to the present-day habitat.

A probabilistic model for assessing debris flow propagation at regional scale: a case study in Campania region, Italy

2021 ◽  
Author(s):  
Luca Crescenzo ◽  
Gaetano Pecoraro ◽  
Michele Calvello ◽  
Richard Guthrie
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Regional Scale ◽  
Erosion And Deposition ◽  
Campania Region ◽  
Source Areas ◽  
Model Input ◽  
Travel Path ◽  
Debris Avalanches ◽  
Modelling Approach

<p>Debris flows and debris avalanches are rapid to extremely rapid landslides that tend to travel considerable distances from their source areas. Interaction between debris flows and elements at risk along their travel path may result in potentially significant destructive consequences. One of the critical challenges to overcome with respect to debris flow risk is, therefore, the credible prediction of their size, travel path, runout distance, and depths of erosion and deposition. To these purposes, at slope or catchment scale, sophisticated physically-based models, appropriately considering several factors and phenomena controlling the slope failure mechanisms, may be used. These models, however, are computationally costly and time consuming, and that significantly hinders their applicability at regional scale. Indeed, at regional scale, debris flows hazard assessment is usually carried out by means of qualitative approaches relying on field surveys, geomorphological knowledge, geometric features, and expert judgement.</p><p>In this study, a quantitative modelling approach based on cellular automata methods, wherein individual cells move across a digital elevation model (DEM) landscape following behavioral rules defined probabilistically, is proposed and tested. The adopted model, called LABS, is able to estimate erosion and deposition soil volumes along a debris flow path by deploying at the source areas autonomous subroutines, called agents, over a 5 m spatial resolution DEM, which provides the basic information to each agent in each time-step. Rules for scour and deposition are based on mass balance considerations and independent probability distributions defined as a function of slope DEM-derived values and a series of model input parameters. The probabilistic rules defined in the model are based on data gathered for debris flows and debris avalanches that mainly occurred in western Canada. This study mainly addresses the applicability and the reliability of this modelling approach to areas in southern Italy, in Campania region, historically affected by debris flows in pyroclastic soils. To this aim, information on inventoried debris flows is used in different study areas to evaluate the effect on the predictions of the model input parameter values, as well as of different native DEM resolutions.</p>

Lava flow modelling at El Hierro (Canary Islands): the case of Montaña Aguarijo volcano

2021 ◽  
Author(s):  
Alejandro Rodriguez-Gonzalez ◽  
Claudia Prieto-Torrell ◽  
Meritxell Aulinas ◽  
Francisco José Perez-Torrado ◽  
Jose-Luis Fernandez-Turiel ◽  
...  
Keyword(s):  
Lava Flow ◽  
Canary Islands ◽  
Flow Simulation ◽  
Maximum Length ◽  
Lava Flows ◽  
Rheological Parameters ◽  
The Real ◽  
El Hierro ◽  
Typical Morphology ◽  
Spatial Propagation

<p>Lava flow simulations are valuable tools for forecasting and assessing the areas that may be potentially affected by new eruptions, but also for interpreting past volcanic events and understanding the controls on lava flow behaviour. The plugin Q-LavHA v3.0 (Mossoux et al., 2016), integrated into QGIS, allows simulating the inundation probability of an a’a lava flow from one or more eruptive vents spatially distributed in a Digital Elevation Model (DEM). Q-LavHA allows running probabilistic and deterministic methods to calculate the spatial propagation and the maximum length of lava flows, considering a number of morphometric and/or thermo-rheological parameters.</p><p>El Hierro is the smallest and westernmost island of the Canary Archipelago where basaltic lava flows infer the major volcanic hazard. However, no lava flow emplacement modelling has been carried out yet on the island. Here we present Montaña Aguarijo's lava flow simulation, a monogenetic volcano located on the NW rift of El Hierro. Detailed geological fieldwork and current topographic-bathymetric data were used to reconstruct the pre-eruption (before the eruption modifies the relief) and post-eruption (at the end of the eruption, prior to erosive processes) DEMs. The obtained morphometric parameters of the lava flow (2,268m long; 5m medium thickness; 422,560m<sup>3</sup>) were used to run probabilistic (Maximum Length) and deterministic (FLOWGO) models. The latter also considers a set of thermo-rheological properties of the lava flow such as initial viscosity, phenocryst content, or vesicle proportion.</p><p>Results obtained show a high degree of overlap between the real and simulated lava flows. Therefore, the thermo-rheological parameters considered in the deterministic approach are close to the real ones that constrained Montaña Aguarijo lava flow propagation. Moreover, this work evidence the effectiveness of Q-LavHA plugin when simulating complex lava flows such as Montaña Aguarijo’s lava which runs through a coastal platform, a typical morphology of oceanic volcanic islands.     </p><p>Financial support was provided by Project LAJIAL (ref. PGC2018-101027-B-I00, MCIU/AEI/FEDER, EU). This study was carried out in the framework of the Research Consolidated Groups GEOVOL (Canary Islands Government, ULPGC) and GEOPAM (Generalitat de Catalunya, 2017 SGR 1494).</p><p><strong>References</strong></p><p>Mossoux, S., Saey, M., Bartolini, S., Poppe, S., Canters F., Kervyn, M. (2016). Q-LAVHA: A flexible GIS plugin to simulate lava flows. <em>Computers & Geosciences</em>, 97, 98-109.</p>

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