Spatial-temporal variations of surface diffuse CO2 degassing at El Hierro volcano, Canary Islands

Author(s):  
Pedro A. Hernández ◽  
Christopher A. Skeldon ◽  
Jingwei Zhang ◽  
Fátima Rodríguez ◽  
Cecilia Amonte ◽  
...  

<p>El Hierro (278 km<sup>2</sup>), the youngest, smallest and westernmost island of the Canarian archipelago, is a 5-km-high edifice constructed by rapid constructive and destructive processes in ~1.12 Ma, with a truncated trihedral shape and three convergent ridges of volcanic cones. It experienced a submarine eruption from 12 October, 2011 to 5 March 2012, off its southern coast that was the first one to be monitored from the beginning in the Canary Islands. As no visible emanations occur at the surface environment of El Hierro, diffuse degassing studies are a useful geochemical tool to monitor the volcanic activity in this volcanic island. Diffuse CO<sub>2</sub> emission surveys have been performed at El Hierro Island since 1998 in a yearly basis, with much higher frequency during the period 2011-2012. At each survey, about 600 sampling sites are selected to obtain a homogeneous distribution. Measurements of soil CO<sub>2</sub> efflux are performed in situ following the accumulation chamber method. During pre-eruptive and eruptive periods, the diffuse CO<sub>2</sub> emission released by the whole island experienced significant increases before the onset of the submarine eruption and the most energetic seismic events of the volcanic-seismic unrest (Melián et al., 2014. J. Geophys. Res. Solid Earth, 119, 6976–6991). The most recent diffuse CO<sub>2</sub> efflux survey was carried out in July 2019. Values ranged from non-detectable to 28.9 g m<sup>−2</sup> d<sup>−1</sup>. Statistical-graphical analysis of the data shows two different geochemical populations; Background (B) and Peak (P) represented by 97.5% and 0.5% of the total data, respectively, with geometric means of 1.2 and 23.6 g m<sup>−2</sup> d<sup>−1</sup>, respectively. Most of the area showed B values while the P values were mainly observed at the interception center of the three convergent ridges and the north-east of the island. To estimate the diffuse CO<sub>2</sub> emission for the 2019 survey, we ran about 100 sGs simulations. The estimated 2019 diffuse CO<sub>2</sub> output released to atmosphere by El Hierro was 214 ± 10 t d<sup>-1</sup>, value lower than the background average of CO<sub>2</sub> emission estimated on 412 t d<sup>-1</sup> and slightly higher than the background range of 181 t d<sup>-1</sup> (−1σ) and 930 t d<sup>-1</sup> (+1σ) estimated at El Hierro volcano during the quiescence period 1998-2010 (Melián et al., 2014, JGR). Monitoring the diffuse CO<sub>2</sub> emission has proven to be a very effective tool to detect early warning signals of volcanic unrest at El Hierro.</p>

2020 ◽  
Author(s):  
Lucía Sáez-Gabarrón ◽  
Jazlyn Beeck ◽  
Sian Reilly ◽  
Mar Alonso ◽  
Víctor Ortega-Ramos ◽  
...  

<p>The North East Rift volcanic Zone (NERZ) of Tenerife Island is one of the three volcanic rift-zones of the island, oriented NW-SE (NWRZ), NE-SW (NERZ) and a more scattered area on the south (NSRZ). From a volcano-structural point of view, NERZ is more complex than NW or NS rifts due the existence of Pedro Gil stratovolcano that broke the main NE-SW structure. Pedro Gil Caldera was formed  0.8  Ma ago by a vertical collapse of this stratovolcano. The most recent eruptive activity along the NERZ took place during 1704 and 1705 along a 13 km of fissural eruption of Arafo-Fasnia-Siete Fuentes. Diffuse CO<sub>2</sub> emission surveys have been undertaken in a yearly basis since 2001 in order to provide a multidisciplinary approach to monitor potential volcanic activity changes at the NERZ. The aim of this study is to report the results of the last soil CO<sub>2</sub> efflux survey undertaken in summer 2019, with 639 measuring sites homogeneously distributed in an area of 210 km<sup>2</sup>. In-situ measurements of CO<sub>2</sub> efflux from the surface environment of NERZ were performed by means of a portable non-dispersive infrared spectrophotometer (NDIR) following the accumulation chamber method. Soil CO<sub>2</sub> efflux contour maps were constructed to identify spatio-temporal anomalies and to quantify the total CO<sub>2</sub> emission using the sequential Gaussian simulation (sGs) interpolation method. The CO<sub>2</sub> efflux values ranged from non-detectable (0.5 g m<sup>-2</sup> d<sup>-1</sup>) up to 72,3 g m<sup>-2</sup> d<sup>-1</sup>, with an average value of 10,9 g m<sup>-2</sup> d<sup>-1</sup>. Statistical-graphical analysis of the 2019 data show two different geochemical populations; background (B) and peak (P) represented by 70.4% and 1.9% of the total data, respectively. The geometric means of the B and P populations are 0.4 and 4.3 g m<sup>-2</sup> d<sup>-1</sup>, respectively. The diffuse CO<sub>2</sub> emission rate was estimated in 2,205 t d<sup>-1</sup>. Studying the long-term variations on the diffuse CO<sub>2</sub> emission since 2001, two main pulses are identified: one in 2007 and a second one sustained over time between 2014 and 2019. Enhanced endogenous contributions of deep-seated CO<sub>2</sub> might have been responsible for the higher CO<sub>2</sub> emissions values observed during those pulses. The 2014-2019 pulse appears to be related to the seismic activity that started taking place in Tenerife at the end of 2016. This study denotes the importance of soil CO<sub>2</sub> efflux surveys at the NERZ volcano of Tenerife Island as an effective volcanic monitoring tool.</p>


2014 ◽  
Vol 46 (5) ◽  
pp. 824-835 ◽  
Author(s):  
Asadusjjaman Suman ◽  
Biswa Bhattacharya

The paper presents the flood characterisation of the Haor region in the north-east of Bangladesh. The region consists of a system of Haors, each of which is a saucer-shaped depression and interconnected by a river system. A portion of the Haor area, known as the deeply flooded area, consisting of about 15 Haors, was chosen as the study area. A 1D2D model, with one-dimensional model for the rivers and a two-dimensional model for the Haors, was developed. Flood hydrograph characteristics such as the rising curve gradient, flood magnitude ratio (with respect to the average discharge) and time to peak were assessed for different river floods. Using these characteristics an integrated flood index (FI) was developed. The FI is an aggregated indicator based on the flood hydrograph characteristics and indicates the relative overall severity of a flood. The spatial and temporal variations of the index were investigated as well. The computed FI at different locations of the region and for different flood hazard frequencies provide a broad understanding of the flooding characteristics of the region. The developed methodology can also be applied to other river basins to analyse flooding risk provided some historical flood data are available.


2013 ◽  
Vol 118 (3) ◽  
pp. 823-839 ◽  
Author(s):  
Joan Martí ◽  
Virginie Pinel ◽  
Carmen López ◽  
Adelina Geyer ◽  
Rafael Abella ◽  
...  

2012 ◽  
Vol 39 (13) ◽  
pp. n/a-n/a ◽  
Author(s):  
C. López ◽  
M. J. Blanco ◽  
R. Abella ◽  
B. Brenes ◽  
V. M. Cabrera Rodríguez ◽  
...  

2014 ◽  
Vol 119 (9) ◽  
pp. 6976-6991 ◽  
Author(s):  
Gladys Melián ◽  
Pedro A. Hernández ◽  
Eleazar Padrón ◽  
Nemesio M. Pérez ◽  
José Barrancos ◽  
...  

2012 ◽  
Vol 39 (17) ◽  
pp. n/a-n/a ◽  
Author(s):  
S. Meletlidis ◽  
A. Di Roberto ◽  
M. Pompilio ◽  
A. Bertagnini ◽  
I. Iribarren ◽  
...  

2015 ◽  
Vol 150 ◽  
pp. 168-200 ◽  
Author(s):  
Juan Carlos Carracedo ◽  
Valentin R. Troll ◽  
Kirsten Zaczek ◽  
Alejandro Rodríguez-González ◽  
Vicente Soler ◽  
...  

2015 ◽  
Vol 102 ◽  
pp. 41-49 ◽  
Author(s):  
Jose A. Rodriguez-Losada ◽  
Antonio Eff-Darwich ◽  
Luis E. Hernandez ◽  
Ronaldo Viñas ◽  
Nemesio Pérez ◽  
...  

2019 ◽  
Vol 12 (4) ◽  
pp. 148-158 ◽  
Author(s):  
Irina D. Eremina ◽  
Jessica Yu. Vasil’chuk

This article summarizes the data of the chemical composition and the acidity of the seasonal snow precipitation for the cold periods 1999-2006 (n=180), 2010-2013 (n=82) and 2018-2019 (n=18) in different parts of Moscow. Major ions content was measured, such as SO42-, НСO3-, Cl-, NO3-, Са2+, Mg2+, Na+, K+ and NH4+, also pH and sum of ions (mg/L) were measured. During the 2018-2019 season, snowpack samples were taken twice at 4 sites in Moscow: two in the North-East Administrative Okrug (NEAO) near the road and in the park at the distance of 3 km from each other, and two in the South- Western Administrative Okrug (SWAO) and in the Western Administrative Okrug (WAO) near the road and in the park at the distance of 6 km from each other. Samples were taken with a break of 5 days to determine the dynamics of the chemical composition within the beginning of the snow-melting. In each pair of sampling sites there was one that is located in the park and one located near the road. This experiment showed a slight variability of the chemical composition of snow during 5 days under the influence of the new snowfall. In general, there is a trend of changing the composition of snow from calcium carbonate to calcium chloride, which is mainly connected to the use of anti-icing reagents; for the same reason, the areas that are closer to the roads are the most polluted.


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