ISTerre - Institut des Sciences de la Terre

Soirée de vulgarisation scientifique "Montagnes et Sciences"

Fabien ALBINO — 2022-05-03T16:21:56Z

Marielle Collombet a participé à une soirée de vulgarisation scientifique le Vendredi 8 Avril organisée par l'association " Montagnes et Sciences ". Pour plus d'informations, vous pouvez lire l' article du Dauphiné Libéré : https://www.ledauphine.com/environnement/2022/04/11/une-soiree-pour-parler-de-sciences-et-des-montagnes-du-monde.

Science Outreach Evening ‘Mountains and Science

Daniela Gutierrez, Fabien ALBINO — 2022-05-03T16:21:56Z

Marielle Collombet took part in a science outreach evening on Friday, April 8, organized by the association “Montagnes et Sciences”. For more information, you can read the article in Dauphiné Libéré:
https://www.ledauphine.com/environnement/2022/04/11/une-soiree-pour-parler-de-sciences-et-des-montagnes-du-monde.

Influence de la cristallisation sur la dynamique éruptive des magmas siliceux

Fabien ALBINO — 2022-01-29T18:19:27Z

Co-encadrement : Marielle Collombet, Alain Burgisser (ISTerre), Caroline Martel (ISTO)

Introduction

Les eruptions de magma visqueux, très riches en silice, donnent souvent lieu à des changements brutaux de régimes éruptifs. Elles peuvent passer abruptement d'une eruption de type effusive avec édification progressive d'un dome, à une éruption brève et puissante de type explosive. Ce changement de type éruptif est intimement lié à la capacité du gaz à s'échapper, ou pas, de la colonne magmatique. Dans le cas de magmas très visqueux (viscosité > 106 Pa.s), les bulles de gaz sont prisonières du magma et ne peuvent pas remonter de manière indépendante vers la surface. Dans ce cas particulier, la perte de gaz est principalement reliée à la capacité des bulles à se connecter entre elles pour former un reseau perméable qui lui, permettra au gaz de percoler au travers de la matrice magmatique (Figure 1A). La connection des bulles entre elles demande des conditions physiques spécifiques. Elle dépend, entre autres, du nombre de bulles, de leur taille, de leur forme, du taux de déformation, de la présence de cristaux. Dans certains cas, de la fracturation fragile peut également intervenir localement. Ces mécanismes, lorsqu'ils sont quantifiés, permettent d'atteindre des perméabilités de l'ordre de 10-15 à 10-12 m2 (e.g., Klug and Cashman, 1996 ; Farquharson et al., 2015 ; Kushnir et al., 2016 ; Burgisser et al., 2017). Lorsqu'ils sont introduits dans des modèles numériques, ils permettent de reproduire des dynamiques éruptives de type effusif avec des taux d'extrusion compatibles avec la formation de domes, ainsi que des distributions superficielles de porosités comparables avec celles observées sur des conduits érodés (observations à l'échelle de quelques centaines de mètres) (e.g., Melnik and Sparks, 2002 ; Collombet, 2009 ; Degruyter et al. 2012 ; Cassidy et al. 2018). Cependant, ils ne permettent pas de reproduire les profils de très faibles porosités (moins de 10%) qui interviennent juste avant une éruption vulcanienne, et ce, pour des profondeurs importantes (jusqu'à plusieurs kilomètres) (cf. Collombet et al., 2021).

La prise en compte du taux de cristallinité pourait cependant permettre d'introduire un nouveau mécanisme physique capable d'augmenter les perméabilités de plusieurs ordres de grandeurs, et donc d'augmenter de manière importante l'efficacité des phénomènes de dégazage, y compris à grande profondeur. En effet, dans le cas d'une cristallinité de l'ordre de 40 à 70%, Parmigiani et al., (2017) et Degruyter et al., (2019) considèrent que les cristaux forment alors une charpente fixe suffisament solide, propice à l'étirement et à la connection des bulles entre elles, formant ainsi des chenaux d'évacuation de gaz (partie rose, Figure 1B). Ce mécanisme de chenalisation au sein d'une matrice cristalline a été décrit pour la première fois, et mis en évidence de manière numérique, dans le cadre des chambres magmatique et pour une matrice cristaline fixe par Parmigiani et al., (2017). La viabilité de ce mécanisme dans le cas des systèmes naturels et son applicabilité au cas d'un conduit volcanique en particulier, ont récemment été testées et validées par l'analyse de la cristallinité et de la porosités d'échantillons naturels par Collombet et al., (2021).

Objectifs
L'objectif de la thèse proposée au sein de l'équipe Volcan du laboratoire Isterre au Bourget du Lac est d'appliquer et de tester ce mécanisme de chenalisation grâce à des simulations numériques d'écoulement dans un conduit volcanique afin d'étudier son influence sur la dynamique éruptive. En complément de ce travail numérique, une étude expérimentale sur des magmas à haute température et à haute pression sera menée en collaboration avec Caroline Martel (ISTO) à Orléans, pour déterminer plus précisément l'influence de la taille, de la forme et de la proportion de cristaux sur la coalescence des bulles. Le ou la doctorant(e) effectuera donc une portion significative de sa thèse (environ 6 mois) au laboratoire ISTO afin de réaliser ces expériences.
Cette thèse bénéficiera du cadre scientifique et financier de l'ANR MECAMUSH (2020-2024), conjointe à nos deux laboratoires, et qui témoigne des collaborations fructueuses qui sont déjà à l'oeuvre entre les chercheurs d'ISTO et ISTerre.

Figure 1 : A) coalescence de bulles dans la partie haute du conduit volcanique. B) mécanisme de chenalisation du gaz en présence d'une forte proportion de cristaux.

Bibliographie
Burgisser A, Chevalier L, Gardner JE, Castro JM (2017) The percolation threshold and permeability evolution of
ascending magmas. Earth Planet Sci Lett 470, 37-47. https://doi.org/10.1016/j.epsl.2017.04.023
Cassidy M, Manga M, Cashman K, Bachmann O (2018) Controls on explosive-effusive volcanic eruption styles. Nat
Commun 9, 2839. https://doi.org/10.1038/s41467-018-05293-3
Collombet M (2009) Two-dimensional gas loss for silicic magma flows : toward more realistic numerical models. Geophys J Int 177, 309-318. https://doi.org/10.1111/j.1365-246X.2008.04086.x
Collombet, M., Burgisser, A., Colombier, M., Gaunt, E. (2021) Evidence for deep gas loss in open volcanic systems. Bull Volcanol 83, 7 . https://doi.org/10.1007/s00445-020-01433-0
Degruyter W, Bachmann O, Burgisser A, Manga M (2012) The effects of outgassing on the transition between effusive and explosive silicic eruptions. Earth Planet Sci Lett 349-350, 161-170. https://doi.org/10.1016/j.epsl.2012.06.056
Degruyter W, Parmigiani A, Huber C, Bachmann O (2019) How do volatiles escape their shallow magmatic hearth ? Philos Trans R Soc Lond Ser A 377, 20180017. https://doi.org/10.1098/rsta.2018.0017
Farquharson J, Heap MJ, Varley NR, Baud P, Reuschlé T (2015) Permeability and porosity relationships of edifice- forming andesites : A combined field and laboratory study. J Volcanol Geotherm Res 297, 52–68. https://doi.org/10.1016/j.jvolgeores.2015.03.016
Klug C, Cashman KV (1996) Permeability development in vesiculating magmas : implications for fragmentation. Bull. Volcanol. 58, 87-100. https://doi.org/10.1007/s004450050128
Kushnir ARL, Martel C, Bourdier JL, Heap MJ, Reuschlé T, Erdmann S, Komorowski JC, Cholik N (2016) Probing permeability and microstructure : Unravelling the role of a low-permeability dome on the explosivity of Merapi (Indonesia). J Volcanol Geotherm Res 316, 56-71. https://doi.org/10.1016/j.jvolgeores.2016.02.012
Melnik O, Sparks RSJ (2002) Dynamics of magma ascent and lava extrusion at Soufrière Hills Volcano, Montserrat. Geol. Soc. Lond. Mem. 21, 153–171. https://doi.org/10.1144/GSL.MEM.2002.021.01.07
Parmigiani A, Degruyter W, Leclaire S, Huber C, Bachmann O (2017) The mechanics of shallow magma reservoir outgassing. Geochem Geophys Geosystems 18, 2887-2905. https://doi.org/10.1002/2017GC006912

Towards better understanding of the mechanisms of magma transport and storage before explosive eruptions by seismic interferometry and study of deformation.

Fabien ALBINO — 2021-11-12T17:59:24Z

Supervisors: Philippe Lesage, Corentin Caudron}

Thesis detailed overview
Volcanoes are now better monitored and understood than in the last century. Despite this, explosive eruptions, as opposed to effusive eruptions that passively extrude large amounts of magma at the surface, remain particularly challenging. Some explosive eruptions appear to be triggered by magma injections or volatile saturation whereas others start following dome unloading.
Deformation and seismicity are the key features to detect reawakening of a volcanic system. Seismic interferometry has been used for the last decade to measure subtle changes in the elastic properties of the subsurface, e.g., aseismic volcanic conduit formation. Results are however complicated and sometimes showing opposite velocity variation patterns2. Improved understanding of explosive eruptions requires (1) a controlled and standardised data processing using high-quality local seismic networks (<20 km) and (2) complementary observations.
Among them the most complementary parameter is the ground deformation. Volcano inflation or deflation can be accompanied by cracks opening/closing that in turn decrease/increase seismic velocities. Centimeter-scale displacements of the Earth's surface can be derived from space using interferometric SAR (InSAR) with a temporal resolution that can reach 6 days for many volcanic areas. The comparison of InSAR with seismic interferometry holds great promise to investigate the genesis of explosive eruptions. Donaldson et al.3,4 for example recently reconciled contrasting velocity observations by considering the depth of deformation that would control the seismic velocity patterns observed at the surface.
To reach a comprehensive understanding of the dynamics of magma transport prior to explosive eruptions, we selected 15 high-quality volcano-seismic networks encompassing an explosive eruption where ground deformation measurements are available. In case a significant signal is detected, source characterization will be performed using classical inversion techniques. Uncovering the mechanisms of magma transport and storage would pave the way to improved understanding of explosive eruptions.
References
1. Lesage, P., Carrara, A., Pinel, V., & Arámbula-Mendoza, R. Absence of detectable precursory deformation and velocity variation before the large dome collapse of July 2015 at Volcán de Colima, Mexico. Frontiers in Earth Science, 6, 93 (2018)
2. Budi-Santoso, A. et al. Analysis of the Seismic Activity Associated with the 2010 Eruption of Merapi Volcano, Java. J. Volcanol. Geotherm. Res. doi:10.1016/j.jvolgeores.2013.03.024.
3. Donaldson, C., Caudron, C., Green, R. G., Thelen, W. A. & White, R. S. Relative seismic velocity variations correlate with deformation at Kīlauea volcano. Sci. Adv. 3, e1700219 (2017).
4. Donaldson, C., Winder, T., Caudron, C. & White, R. S. Crustal seismic velocity responds to a magmatic intrusion and seasonal loading in Iceland's Northern Volcanic Zone. Sci. Adv. 5, eaax6642 (2019).
5. Biggs, J. et al. Global link between deformation and volcanic eruption quantified by satellite imagery. Nat. Commun. 5, (2014).
6. Tait, S., Jaupart, C. & Vergniolle, S. Pressure, gas content and eruption periodicity of a shallow, crystallising magma chamber. Earth Planet. Sci. Lett. 92, 107–123 (1989).

Vers une compréhension des mécanismes de transport de magma et de stockage avant les éruptions explosives par interférométrie sismique et étude de la déformation

Fabien ALBINO — 2021-11-12T16:51:40Z

Encadrants : Philippe Lesage & Corentin Caudron

Présentation détaillée
Les volcans sont aujourd'hui mieux surveillés qu'au siècle passé. Pourtant, les éruptions explosives, demeurent énigmatiques et difficiles à prédire1, contrairement aux éruptions effusives qui émettent de larges quantités de magma à la surface et sont plus facilement prévisibles. Certaines éruptions explosives semblent déclenchées par des injections de magma ou la saturation en volatiles, alors que d'autres se produisent suite à l'effondrement d'un dôme de lave, sans signature caractéristique les précédant1.
La déformation et la sismicité constituent les paramètres classiques pour surveiller un volcan. Depuis une dizaine d'année, l'interférométrie sismique a permis de détecter des changements ténus dans les propriétés élastiques de la croute terrestre s'ajoutant aux potentielles méthodes de surveillance en temps réel dans les observatoires volcaniques et permettant des avancées considérables en volcanologie. Malgré des résultats encourageants, les applications de cette méthode à divers volcans ont révélé des résultats compliqués, avec des variations de vitesse parfois opposées observées pour un même édifice volcanique2. Notre compréhension est actuellement limitée par (1) l'absence de traitement standardisé des données de différents volcans (2) la disponibilité de paramètres complémentaires pour interpréter les observations.
Parmi ces données complémentaires, les mesures de déformation du sol permettraient de mieux comprendre les variations de vitesse sismiques comme récemment montré par Donaldson et al.3,4 ; les inflations/déflations du volcan s'accompagnant souvent de changements de vitesse sismique. Ces données de déplacements peuvent être extraites par interférométrie SAR de données spatiales avec une résolution de l'ordre de la dizaine de jours5, lorsqu'elles ne sont pas directement mesurées au sol.
Grâce à l'explosion de données sismiques disponibles, nous proposons d'étudier 15 volcans. Nous avons sélectionné des données sismiques de haute-qualité avec des données de déformations disponibles, mesurées par GPS ou extraites de traitement de données InSAR. Ce travail couplé permettra de mieux comprendre la genèse de ces éruptions explosives. Il mettra en lumière les mécanismes de transport de magma et de stockage afin de mieux comprendre les éruptions explosives et de permettre leur surveillance en temps réel.

References
1. Lesage, P., Carrara, A., Pinel, V., & Arámbula-Mendoza, R. Absence of detectable precursory deformation and velocity variation before the large dome collapse of July 2015 at Volcán de Colima, Mexico. Frontiers in Earth Science, 6, 93 (2018)
2. Budi-Santoso, A. et al. Analysis of the Seismic Activity Associated with the 2010 Eruption of Merapi Volcano, Java. J. Volcanol. Geotherm. Res. doi:10.1016/j.jvolgeores.2013.03.024.
3. Donaldson, C., Caudron, C., Green, R. G., Thelen, W. A. & White, R. S. Relative seismic velocity variations correlate with deformation at Kīlauea volcano. Sci. Adv. 3, e1700219 (2017).
4. Donaldson, C., Winder, T., Caudron, C. & White, R. S. Crustal seismic velocity responds to a magmatic intrusion and seasonal loading in Iceland's Northern Volcanic Zone. Sci. Adv. 5, eaax6642 (2019).
5. Biggs, J. et al. Global link between deformation and volcanic eruption quantified by satellite imagery. Nat. Commun. 5, (2014).
6. Tait, S., Jaupart, C. & Vergniolle, S. Pressure, gas content and eruption periodicity of a shallow, crystallising magma chamber. Earth Planet. Sci. Lett. 92, 107–123 (1989).
7. Pinel, V., Poland, M. P. & Hooper, A. Volcanology : Lessons learned from Synthetic Aperture Radar imagery. J. Volcanol. Geotherm. Res. 289, 81–113 (2014).
8. Ebmeier, S. K. et al. Synthesis of global satellite observations of magmatic and volcanic deformation : implications for volcano monitoring & the lateral extent of magmatic domains. J. Appl. Volcanol. 7, 2 (2018).
9. Boué, A., Lesage, P., Cortés, G., Valette, B. & Reyes-Dávila, G. Real-time eruption forecasting using the material Failure Forecast Method with a Bayesian approach. J. Geophys. Res. Solid Earth 120, 2014JB011637 (2015).
10. Boué, A. et al. Performance of the ‘material Failure Forecast Method' in real-time situations : A Bayesian approach applied on effusive and explosive eruptions. J. Volcanol. Geotherm. Res. doi:10.1016/j.jvolgeores.2016.10.002.

A robust, low-cost and well-calibrated infrasound sensor for volcano monitoring and other applications

Fabien ALBINO — 2021-11-12T13:40:20Z

Introduction

Infrasound sensors are of increasing use for volcano monitoring and studies. In particular, volcano acoustic signals are invaluable for detecting or discriminating volcanic explosions, pyroclastic density currents, rock falls or lahars and for locating active vents. It is also useful to detect many natural or artificial phenomena, such as explosions or river floods.

Technical characteristics

We have developed a broadband, robust and low-cost infrasound sensor designed for the detection and analysis of acoustic waves especially on volcanoes. It is based on a microelectromechanical differential pressure transducer (MEMS). The reference pressure is balanced with the atmospheric pressure through an adjustable pneumatic high-pass filter with corner frequency of a few to tens of mHz. Its amplitude range is ± 240 Pa and its sensitivity is 20 mV Pa-1, with a noise level less than 0.05 Pa RMS. The power consumption is 42 mW (3.5 mA with 12 V voltage). A direct output of the MEMS also provides a signal with sensitivity of about 500 µV Pa-1 and range ± 1245 Pa. The outputs can be connected easily with most of electronic recorders. The pressure input is designed for easy connection to any system of wind-noise reduction.

The mechanical elements of the sensor are produced by 3D printer and filled with epoxy resin which guarantees that the sensor can resist hard environmental conditions including corrosive gas, high level of humidity and large temperature variations.

Figure 1. Left panel : block diagram of the infrasound sensor, showing the MEMS, the capillary tube, the reference cavity, the electronic board, and the connector. All these elements are inserted in the packaging displayed on the right side of the picture. Right panel : picture of the sensor.

Table 1. Main features of the IST-2018 infrasound sensor. (*) Adjustable value.

Calibration

The instrumental response of each infrasound sensor is carefully measured using an especially designed calibration system in the frequency range from 1 mHz to more than 100 Hz. The sensor dimensions (26x45x80 mm) and weight (100 g) makes it very easy to handle and install.

Figure 2. Amplitude (top) and phase (bottom) responses of the IST-2018 for its infrasound (IS – blue) and MEMS (red) outputs. Dots are values measured with the calibration system. Amplitude responses of the MB2005 and the GRAS 40AE microphone are also displayed in top panel for comparison.

Availability

The IST-2018 infrasound sensor is built in the instrumentation lab of ISTerre. It is distributed mainly to research institutions in charge of monitoring. Its cost is about 500 €, depending on the type of cable, connector and power supply that are required. Quotation can be sent upon request to lesage univ-smb.fr and the detailed user manual can be downloaded here :

A robust, low-cost and well-calibrated infrasound sensor for volcano monitoring and other applications

Daniela Gutierrez, Fabien ALBINO — 2021-11-12T13:40:20Z

Introduction

Technical characteristics

Figure 1. Left panel: block diagram of the infrasound sensor, showing the MEMS, the capillary tube, the reference cavity, the electronic board, and the connector. All these elements are inserted in the packaging displayed on the right side of the picture. Right panel: picture of the sensor.

Table 1. Main features of the IST-2018 infrasound sensor. (*) Adjustable value.

Calibration

Availability

“Multi-scale high resolution geophysical imaging of Krafla sub-volcanic system”

Fabien ALBINO — 2021-10-28T10:26:03Z

About the position
We have a vacancy for a PhD Candidate at the Institut des Sciences de la Terre(ISTerre), Université Savoie Mont Blanc(USMB), France, for research activities in the frame of the EU H2020-MSCA-ITN-2019 project IMPROVE : http://www.improve-etn.eu/

The IMPROVE project will perform research to define the underground structure and dynamics of volcanic and geothermal systems aiming to significantly impact volcano science and the science–industry relationship. The project will employ exploration and monitoring approaches and disciplines such as geology, geophysics, geochemistry, engineering and informatics. The IMPROVE consortium consists of nine academic beneficiaries, one partner from a state-owned company in the energy sector and two technology-developing SMEs.
The PhD at USMB will participate in a geophysical campaign on the Krafla (Iceland) volcanic and geothermal zone in summer 2022. The geophysical measurements will consist of seismic measurements on a dense array, and electrical resistivity measurements (by both DC and Magneto-Telluric methods). Afterwards, he will be in charge of the processing, analysis of the measurements and structural/fluid modelling of the studied area. .
In detail, the deployment of a dense seismic network will allow the imaging of this volcanic/geothermal structure by seismic noise cross-correlation and potentially to detect any fine velocity variation that may appear during the seismic recording. In addition, these data will also be used to monitor and locate the seismic activity, by using template matching methods for example. In parallel, the ERT DC measurements acquired with an electrical network and the Magneto-telluric measurements will be processed and analyzed in a multi-scale and complementary framework to obtain 3D electrical resistivity images at different scales and resolutions. The processing of these data will require the use of existing algorithms that will have to be adapted to the specificity of the data sets.
All these data will then be jointly quantitatively interpreted in terms of geological structures and fluid's substitution scenarios via rock physics models in order to better assess the current state and behavior of the geothermal system. The relationship between seismic activity and these structures will be scrutinized. Again, algorithmic developments may be necessary for this step, especially if data fusion is envisaged.
This research will be supervised by Dr J. Vandemeulebrouck and Pr. Stéphane Garambois and will be carried out within two research teams, “Volcanic geophysics & Geothermics” and “Waves and Structures” within the ISterre laboratory, with many interactions with other researchers and PhD students of these teams.

Required selection criteria
You must not have resided or carried out your main activity in the country of the host institution (France) for more than 12 months in the 3 years preceding the date of recruitment.
You must have a professionally relevant background in geophysics, physics, mathematics, engineering or equivalent education.
Your education must correspond to a five-year european degree programme, where 120 credits are obtained at master's level
You must have a strong academic background from your previous studies and an excellent grade from the master's degree program.
You have a research experience (5 or more months long) during your Master's in a domain relevant to the project, your internship being in a research laboratory (public or private).
You must meet the requirements for admission to the faculty's doctoral program (Ecole Doctorale de Grenoble STEP)
Strong theoretical and applied background in signal processing of times series
Programming skills in MATLAB, C, Python, or similar
Strong theoretical background in mathematics and physics

Preferred selection criteria
Background and interest in geophysics and in signal processing
Excellent written and oral English language skills, knowledge of French would be appreciated.

Personal characteristics
Strong analytical skills
Enthusiastic, able to adapt and learn
Highly motivated and scientifically curious
Positive attitude and interested in teamwork
Ability to take initiative and to work independently

We offer
Exciting and stimulating tasks in a strong international academic environment : ISTerre is an internationally renowned Institute with 300 staff and 9 research teams. The PhD will be hosted in two research teams : "Volcano geophysics and Geothermy", and "Waves and Structures".
The candidate will be able to interact with all the researchers of the laboratories of IMPROVE ITN project.
In addition, you will work for several months at the following 5 institutions during the PhD : University of Iceland and Landsvirkjun icelandic geothermal company ; University of Bristol, DIAS (Dublin Institute for Advanced Studies), and INGV(Istituto Nazionale di Geofisica e Vulcanologia) Pisa.

Salary and conditions
Salary : According to the European Commission and local standards ; minimum gross wage is 3500 euros before local taxes, plus a mobility allowance and possibly a family allowance.
The period of employment is 3 years.
Appointment to a PhD position requires that you are admitted to the PhD programme in Earth Sciences at “Ecole Doctorale STEP de Grenoble”, and that you participate in an organized PhD programme during the employment period.
The qualifications of the applicant will be assessed by the Selection committee. On the basis of the recommendation of the Selection committee, the Dean of the Doctoral School of University Grenoble Alpes will make the final decision for allocating the stipend.

About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.

The Application must be in a form of a single PDF file including :
CV, certificates and diplomas
Transcripts and diplomas for bachelor's and master's degrees.
A copy of the master's thesis or draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position
Brief project proposal (1 page maximum)
Letters of two referees
If you have them, publications or other relevant research work
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.

General information
– A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. IMPROVE ensures equal opportunities with respect to gender, nationality, ethnicity, sexual orientation, or any other aspects different from quality and competence.

If you have any questions about the position, please contact Dr. Jean Vandemeulebrouck, tel. :+33 479758485, e-mail : jvand univ-smb.fr.
Please submit your application electronically to jvand univ-smb.fr
For more information of Doctoral School :
https://doctorat.univ-grenoble-alpes.fr/

Application deadline : 15 January 2022.

“Multi-scale high resolution geophysical imaging of Krafla sub-volcanic system”

Fabien ALBINO — 2021-10-27T21:19:32Z

Preferred selection criteria
Background and interest in geophysics and in signal processing
Excellent written and oral English language skills, knowledge of French would be appreciated.

We offer
Exciting and stimulating tasks in a strong international academic environment: ISTerre is an internationally renowned Institute with 300 staff and 9 research teams. The PhD will be hosted in two research teams: "Volcano geophysics and Geothermy", and "Waves and Structures".
The candidate will be able to interact with all the researchers of the laboratories of IMPROVE ITN project.
In addition, you will work for several months at the following 5 institutions during the PhD : University of Iceland and Landsvirkjun icelandic geothermal company; University of Bristol, DIAS (Dublin Institute for Advanced Studies), and INGV(Istituto Nazionale di Geofisica e Vulcanologia) Pisa.

If you have any questions about the position, please contact Dr. Jean Vandemeulebrouck, tel. :+33 479758485, e-mail: jvand univ-smb.fr.
Please submit your application electronically to jvand univ-smb.fr
For more information of Doctoral School:
https://doctorat.univ-grenoble-alpes.fr/

Application deadline: 15 January 2022.

Publications

Fabien ALBINO — 2021-10-21T14:11:01Z

2021

Albino, F., & Biggs, J. (2021). Magmatic Processes in the East African Rift System : Insights From a 2015–
2020 Sentinel-1 InSAR Survey. Geochemistry, Geophysics, Geosystems, 22(3), e2020GC009488.
Biggs, J., Dogru, F., Dagliyar, A., Albino, F., Yip, S., Brown, S., ... & Atıcı, G. (2021). Baseline monitoring of
volcanic regions with little recent activity : application of Sentinel-1 InSAR to Turkish volcanoes. Journal of
Applied Volcanology, 10(1), 1-14.

2020

Albino, F., Biggs, J., Escobar-Wolf, R., Naismith, A., Watson, M., Phillips, J. C., & Marroquin, G. C. (2020).
Using TanDEM-X to measure pyroclastic flow source location, thickness and volume : Application to the 3rd
June 2018 eruption of Fuego volcano, Guatemala. Journal of Volcanology and Geothermal Research, 406,
107063.
Lazecký, M., Spaans, K., Gonz lez, P. J., Maghsoudi, Y., Morishita, Y., Albino, F., ... & Juncu, D. (2020).
LiCSAR : An automatic InSAR tool for measuring and monitoring tectonic and volcanic activity. Remote
Sensing, 12(15), 2430. https://doi.org/10.3390/rs12152430
Albino, F., Biggs, J., Yu, C., & Li, Z. (2020). Automated Methods for Detecting Volcanic Deformation Using
Sentinel-1 InSAR Time Series Illustrated by the 2017–2018 Unrest at Agung, Indonesia. Journal of
Geophysical Research : Solid Earth, 125(2). https://doi.org/10.1029/2019JB017908
Heap, M. J., Villeneuve, M., Albino, F., Farquharson, J. I., Brothelande, E., Amelung, F., ... & Baud, P.
(2020). Towards more realistic values of elastic moduli for volcano modelling. Journal of Volcanology and
Geothermal Research, 390, 106684. https://doi.org/10.1016/j.jvolgeores.2019.106684

2019

Yip, S. T. H., Biggs, J., & Albino, F. (2019). Re-evaluating volcanic deformation using atmospheric
corrections : Implications for the magmatic system of Agung volcano, Indonesia. Geophysical Research
Letters. https://doi.org/10.1029/2019GL085233
Anantrasirichai, N., Biggs, J., Albino, F., & Bull, D. (2019). The application of Convolutional Neural Networks
to Detect Slow, Sustained Deformation in InSAR Timeseries. Geophysical Research Letters.
https://doi.org/10.1029/2019GL084993
Anantrasirichai, N., Biggs, J., Albino, F., & Bull, D. (2019). A deep learning approach to detecting volcano
deformation from satellite imagery using synthetic datasets. Remote Sensing of Environment, 230, 111179.
https://doi.org/10.1016/j.rse.2019.04.032
Scholz, C. H., Tan, Y. J., & Albino, F. (2019). The mechanism of tidal triggering of earthquakes at mid-ocean
ridges. Nature communications, 10(1), 2526. https://www.nature.com/articles/s41467-019-10605-2
Albino, F., Biggs, J., Syahbana, D.K. (2019), Dyke intrusion between neighbouring arc volcanoes responsible
for 2017 pre-eruptive seismic swarm at Agung. Nature communications, 10(1), 748.
https://www.nature.com/articles/s41467-019-08564-9
Morales Rivera, A. M., Amelung, F., Albino, F., & Gregg, P. M. (2019). Impact of crustal rheology on
temperature-dependent viscoelastic models of volcano deformation : Application to Taal volcano, Philippines.
Journal of Geophysical Research : Solid Earth, 124. doi : 10.1029/2018JB016054.

2018

Gaddes, M. E., Hooper, A., Bagnardi, M., Inman, H., & Albino, F. (2018). Blind signal separation methods for
InSAR : The potential to automatically detect and monitor signals of volcanic deformation. Journal of
Geophysical Research : Solid Earth, 123(11), 10-226. https://doi.org/10.1029/2018JB016210
Anantrasirichai, N., Biggs, J., Albino, F., Hill, P., & Bull, D. (2018). Application of Machine Learning to
Classification of Volcanic Deformation in Routinely Generated InSAR Data. Journal of Geophysical Research :
Solid Earth, 123(8), 6592-6606. https://doi.org/10.1029/2018JB015911
Albino, F., Amelung, F., & Gregg, P. (2018). The role of pore fluid pressure on the failure of magma
reservoirs : Insights from Indonesian and Aleutian arc volcanoes. Journal of Geophysical Research : Solid
Earth, 123(2), 1328-1349. doi : 10.1002/2017JB014523.

2015

Albino, F., B. Smets, N. d'Oreye, and F. Kervyn (2015), High-resolution TanDEM-X DEM : An accurate
method to estimate lava flow volumes at Nyamulagira Volcano (D. R. Congo). J. Geophys. Res., 120, 4189–
4207. doi : 10.1002/2015JB011988.

2014

Remy, D., Froger, J.L., Perfettini, H., Bonvalot, S., Gabalda, G., Albino, F., Cayol, V., Legrand, D. and Saint
Blanquat, M. (2014). Persistent uplift of the Lazufre volcanic complex (Central Andes) : New insights from
PCAIM inversion of InSAR time series and GPS data, Geochem. Geophys. Geosyst., 15, doi :
10.1002/2014GC005370.
Albino, F., and Sigmundsson, F. (2014). Stress transfer between magma bodies : Influence of intrusions prior
to 2010 eruptions at Eyjafjallaj kull volcano, Iceland, J. Geophys. Res., 119, 2964–2975, doi :
10.1002/2013JB010510.
Smets, B., d'Oreye, N., Kervyn, F., Kervyn, M., Albino, F., Arellano, S., Bagalwa, M., Balagizi, C., Carn, S.,
Darrah, T., Fernandez, J., Galle, B., Gonzalez, P., Head, E., Karume, K., Kavotha, D., Lukaya, F., Mashagiro,
N., Mavonga, G., Norman, P., Osodundu, E., Pallero, J., Prieto, J., Samsonov, S., Syauswa, M., Tedesco, D.,
Tiampo, K., Wauthier, C. and Yalire, M. (2014). Detailed multidisciplinary monitoring reveals pre- and coeruptive
signals at Nyamulagira volcano (North Kivu, Democratic Republic of Congo), Bulletin of Volcanology,
76 (1), 1-35, doi : 10.1007/s00445-013-0787-1.

2013

Mora, M. M., Lesage, P., Albino, F., Soto, G. J., and Alvarado, G. E. (2013), Continuous subsidence
associated with the long-lasting eruption of Arenal Volcano (Costa Rica) observed by dry-tilt stations,
Geological Society of America Special Papers, 498, 45-56, doi : 10.1130/2013.2498 (03).
Pinel, V., and Albino, F. (2013), Consequences of volcano sector collapse on magmatic storage zones :
insights from numerical modeling, J. of Volc. and Geotherm. Res., 252, 29-37, doi :
10.1016/j.jvolgeores.2012.11.009.

2011

Albino, F., V. Pinel, H. Massol, and M. Collombet (2011), Conditions for detection of ground deformation
induced by conduit flow and evolution, J. Geophys. Res., 116, B06201, doi : 10.1029/2010JB007871.

2010

Pinel, V., Jaupart, C. and Albino, F. (2010), On the relationship between cycles of eruptive activity and growth
of a volcanic edifice, J. of Volc. and Geotherm. Res., 194 (4), 150-164, doi : 10.1016/j.jvolgeores.2010.05.006.
Albino, F., Pinel, V. and Sigmundsson, F. (2010), Influence of surface load variations on eruption likelihood :
application to two Icelandic subglacial volcanoes, Gr msv tn and Katla. Geophys. J. Int., 181, 1510–1524,
doi : 10.1111/j.1365-246X.2010.04603.x.
Sigmundsson, F., Pinel, V., Lund, B., Albino, F., Pagli, C., Geirsson, H., and Sturkell, E. (2010), Climate
effects on volcanism : influence on magmatic systems of loading and unloading from ice mass variations, with
examples from Iceland, Phil Trans R Soc A, 368, 2519-2534, doi : 10.1098/rsta.2010.0042.