Articles | Volume 3, issue 1
Geosci. Commun., 3, 129–146, 2020
https://doi.org/10.5194/gc-3-129-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Geosci. Commun., 3, 129–146, 2020
https://doi.org/10.5194/gc-3-129-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
15 May 2020
Research article
| Highlight paper
| 15 May 2020
Rapid collaborative knowledge building via Twitter after significant geohazard events
Robin Lacassin et al.
Related authors
Maud Devès, Robin Lacassin, Hugues Pécout, and Geoffrey Robert
Nat. Hazards Earth Syst. Sci., 22, 2001–2029, https://doi.org/10.5194/nhess-22-2001-2022, https://doi.org/10.5194/nhess-22-2001-2022, 2022
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This paper focuses on the issue of population information about natural hazards and disaster risk. It builds on the analysis of the unique seismo-volcanic crisis on the island of Mayotte, France, that started in May 2018 and lasted several years. We document the gradual response of the actors in charge of scientific monitoring and risk management. We then make recommendations for improving risk communication strategies in Mayotte and also in contexts where comparable geo-crises may happen.
Maud Devès, Robin Lacassin, Hugues Pécout, and Geoffrey Robert
Nat. Hazards Earth Syst. Sci., 22, 2001–2029, https://doi.org/10.5194/nhess-22-2001-2022, https://doi.org/10.5194/nhess-22-2001-2022, 2022
Short summary
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This paper focuses on the issue of population information about natural hazards and disaster risk. It builds on the analysis of the unique seismo-volcanic crisis on the island of Mayotte, France, that started in May 2018 and lasted several years. We document the gradual response of the actors in charge of scientific monitoring and risk management. We then make recommendations for improving risk communication strategies in Mayotte and also in contexts where comparable geo-crises may happen.
Małgorzata Chmiel, Maxime Godano, Marco Piantini, Pierre Brigode, Florent Gimbert, Maarten Bakker, Françoise Courboulex, Jean-Paul Ampuero, Diane Rivet, Anthony Sladen, David Ambrois, and Margot Chapuis
Nat. Hazards Earth Syst. Sci., 22, 1541–1558, https://doi.org/10.5194/nhess-22-1541-2022, https://doi.org/10.5194/nhess-22-1541-2022, 2022
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On 2 October 2020, the French Maritime Alps were struck by an extreme rainfall event caused by Storm Alex. Here, we show that seismic data provide the timing and velocity of the propagation of flash-flood waves along the Vésubie River. We also detect 114 small local earthquakes triggered by the rainwater weight and/or its infiltration into the ground. This study paves the way for future works that can reveal further details of the impact of Storm Alex on the Earth’s surface and subsurface.
David Healy and Stephen Paul Hicks
Solid Earth, 13, 15–39, https://doi.org/10.5194/se-13-15-2022, https://doi.org/10.5194/se-13-15-2022, 2022
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The energy transition requires operations in faulted rocks. To manage the technical challenges and public concern over possible induced earthquakes, we need to quantify the risks. We calculate the probability of fault slip based on uncertain inputs, stresses, fluid pressures, and the mechanical properties of rocks in fault zones. Our examples highlight the specific gaps in our knowledge. Citizen science projects could produce useful data and include the public in the discussions about hazards.
Martijn P. A. van den Ende and Jean-Paul Ampuero
Solid Earth, 12, 915–934, https://doi.org/10.5194/se-12-915-2021, https://doi.org/10.5194/se-12-915-2021, 2021
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Distributed acoustic sensing (DAS) is an emerging technology that measures stretching of an optical-fibre cable. This technology can be used to record the ground shaking of earthquakes, which offers a cost-efficient alternative to conventional seismometers. Since DAS is relatively new, we need to verify that existing seismological methods can be applied to this new data type. In this study, we reveal several issues by comparing DAS with conventional seismometer data for earthquake localisation.
Martijn P. A. van den Ende, Marco M. Scuderi, Frédéric Cappa, and Jean-Paul Ampuero
Solid Earth, 11, 2245–2256, https://doi.org/10.5194/se-11-2245-2020, https://doi.org/10.5194/se-11-2245-2020, 2020
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The injection of fluids (like wastewater or CO2) into the subsurface could cause earthquakes when existing geological faults inside the reservoir are (re-)activated. To assess the hazard associated with this, previous studies have conducted experiments in which fluids have been injected into centimetre- and decimetre-scale faults. In this work, we analyse and model these experiments. To this end, we propose a new approach through which we extract the model parameters that govern slip on faults.
Simon Preuss, Jean Paul Ampuero, Taras Gerya, and Ylona van Dinther
Solid Earth, 11, 1333–1360, https://doi.org/10.5194/se-11-1333-2020, https://doi.org/10.5194/se-11-1333-2020, 2020
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In this paper, we present newly developed numerical models to simulate episodic growth of geological faults.
This growth of faults occurs during the seismic cycle, with spontaneously generated primary and secondary fault structures. With these models we are able to show the evolution of complex fault geometries. Additionally, we can quantify the impact of earthquakes on fault growth.
Maud H. Devès, Marion Le Texier, Hugues Pécout, and Claude Grasland
Geosci. Commun., 2, 125–141, https://doi.org/10.5194/gc-2-125-2019, https://doi.org/10.5194/gc-2-125-2019, 2019
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Exploring a corpus of 320 888 news articles published by 32 worldwide newspapers in 2015, this paper shows the following: news covers a very small proportion of the total number of earthquakes occurring in a year; the duration of coverage is very short, which does not allow for proper coverage of long-term issues; and there is a typical framing of the news about earthquakes that introduces major biases in representation, impeding proper appropriation of the seismic risk by the public.
F. Bernardi, A. Lomax, A. Michelini, V. Lauciani, A. Piatanesi, and S. Lorito
Nat. Hazards Earth Syst. Sci., 15, 2019–2036, https://doi.org/10.5194/nhess-15-2019-2015, https://doi.org/10.5194/nhess-15-2019-2015, 2015
C. Pelties, A.-A. Gabriel, and J.-P. Ampuero
Geosci. Model Dev., 7, 847–866, https://doi.org/10.5194/gmd-7-847-2014, https://doi.org/10.5194/gmd-7-847-2014, 2014
Related subject area
Subject: Geoscience engagement | Keyword: Co-creation and co-production
Development of forecast information for institutional decision-makers: landslides in India and cyclones in Mozambique
GC Insights: Identifying conditions that sculpted bedforms – human insights to building an effective AI (artificial intelligence)
Mirianna Budimir, Alison Sneddon, Issy Nelder, Sarah Brown, Amy Donovan, and Linda Speight
Geosci. Commun., 5, 151–175, https://doi.org/10.5194/gc-5-151-2022, https://doi.org/10.5194/gc-5-151-2022, 2022
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This paper extracts key learning from two case studies (India and Mozambique), outlining solutions and approaches to challenges in developing forecast products. These lessons and solutions can be used by forecasters and practitioners to support the development of useful, appropriate, and co-designed forecast information for institutional decision-makers to support more effective early action in advance of disasters.
John K. Hillier, Chris Unsworth, Luke De Clerk, and Sergey Savel'ev
Geosci. Commun., 5, 11–15, https://doi.org/10.5194/gc-5-11-2022, https://doi.org/10.5194/gc-5-11-2022, 2022
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It is an aspiration to infer flow conditions from bedform morphology (e.g. riverbed ripples) where sedimentary structures preserve the geological past or in inaccessible environments (e.g. Mars). This study was motivated by the idea of better designing an AI (artificial intelligence) algorithm to do this by using lessons from non-AI (i.e. human) abilities, investigated using a geoscience communication activity. A survey and an artificial neural network are used in a successful proof of concept.
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Short summary
Among social media platforms, Twitter is valued by scholars to disseminate scientific information. Using two 2018 geohazard events as examples, we show that collaborative open data sharing and discussion on Twitter promote very rapid building of knowledge. This breaks down the traditional
ivory towerof academia, making science accessible to nonacademics who can follow the discussion. It also presents the opportunity for a new type of scientific approach within global virtual teams.
Among social media platforms, Twitter is valued by scholars to disseminate scientific...
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