scholarly journals Modelling and simulation of a lava flow affecting a shore platform: a case study of Montaña de Aguarijo eruption, El Hierro (Canary Islands, Spain)

2021 ◽  
Vol 17 (2) ◽  
pp. 502-511
Author(s):  
C. Prieto-Torrell ◽  
A. Rodriguez-Gonzalez ◽  
M. Aulinas ◽  
J. L. Fernandez-Turiel ◽  
M.C. Cabrera ◽  
...  
2021 ◽  
Author(s):  
Alejandro Rodriguez-Gonzalez ◽  
Claudia Prieto-Torrell ◽  
Meritxell Aulinas ◽  
Francisco José Perez-Torrado ◽  
Jose-Luis Fernandez-Turiel ◽  
...  

<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>


2013 ◽  
Vol 23 (3-4) ◽  
Author(s):  
Bernhard Heinzl ◽  
Michael Landsiedl ◽  
Fabian Duer ◽  
Alexandros-Athanassios Dimitriou ◽  
Wolfgang Kastner ◽  
...  

Geomorphology ◽  
2021 ◽  
Vol 381 ◽  
pp. 107661
Author(s):  
Mauro Rossi ◽  
Roberto Sarro ◽  
Paola Reichenbach ◽  
Rosa María Mateos

Author(s):  
Juan C. Santamarta ◽  
Luis E. Hernández-Gutiérrez ◽  
Jesica Rodríguez-Martín ◽  
Anastasia Hernández Alemán ◽  
José Luis Gutiérrez Villanueva ◽  
...  

Author(s):  
Violeta Cabello ◽  
David Romero ◽  
Ana Musicki ◽  
Ângela Guimarães Pereira ◽  
Baltasar Peñate

AbstractThe literature on the water–energy–food nexus has repeatedly signaled the need for transdisciplinary approaches capable of weaving the plurality of knowledge bodies involved in the governance of different resources. To fill this gap, Quantitative Story-Telling (QST) has been proposed as a science for adaptive governance approach that aims at fostering pluralistic and reflexive research processes to overcome narrow framings of water, energy, and food policies as independent domains. Yet, there are few practical applications of QST and most run on a pan-European scale. In this paper, we apply the theory of QST through a practical case study regarding non-conventional water sources as an innovation for water and agricultural governance in the Canary Islands. We present the methods mixed to mobilize different types of knowledge and analyze interconnections between water, energy, and food supply. First, we map and interview relevant knowledge holders to elicit narratives about the current and future roles of alternative water resources in the arid Canarian context. Second, we run a quantitative diagnosis of nexus interconnections related to the use of these resources for irrigation. This analysis provides feedback to the narratives in terms of constraints and uncertainties that might hamper the expectations posed on this innovation. Thirdly, the mixed analysis is used as fuel for discussion in participatory narrative assessment workshops. Our experimental QST process succeeded in co-creating new knowledge regarding the water–energy–food nexus while addressing some relational and epistemological uncertainties in the development of alternative water resources. Yet, the extent to which mainstream socio-technical imaginaries surrounding this innovation were transformed was rather limited. We conclude that the potential of QST within sustainability place-based research resides on its capacity to: (a) bridge different sources of knowledge, including local knowledge; (b) combine both qualitative and quantitative information regarding the sustainable use of local resources, and (c) co-create narratives on desirable and viable socio-technical pathways. Open questions remain as to how to effectively mobilize radically diverse knowledge systems in complex analytical exercises where everyone feels safe to participate.


2014 ◽  
Vol 199 (3) ◽  
pp. 1739-1750 ◽  
Author(s):  
Araceli García-Yeguas ◽  
Jesús M. Ibáñez ◽  
Ivan Koulakov ◽  
Andrey Jakovlev ◽  
M. Carmen Romero-Ruiz ◽  
...  

2013 ◽  
Vol 40 (12) ◽  
pp. 4411-4419 ◽  
Author(s):  
Alejandra C. Ordóñez ◽  
M. Arnay-de-la-Rosa ◽  
R. Fregel ◽  
A. Trujillo-Mederos ◽  
J. Pestano ◽  
...  

2021 ◽  
Vol 83 (11) ◽  
Author(s):  
R. deGraffenried ◽  
J. Hammer ◽  
H. Dietterich ◽  
R. Perroy ◽  
M. Patrick ◽  
...  

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