Articles | Volume 15, issue 6
https://doi.org/10.5194/gmd-15-2441-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2441-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
22 Mar 2022
Model description paper |
| 22 Mar 2022
| 22 Mar 2022
SMAUG v1.0 – a user-friendly muon simulator for the imaging of geological objects in 3-D
Alessandro Lechmann
CORRESPONDING AUTHOR
Institute of Geological Sciences, University of Bern, Bern, 3012,
Switzerland
David Mair
Institute of Geological Sciences, University of Bern, Bern, 3012,
Switzerland
Akitaka Ariga
Albert Einstein Center for Fundamental Physics, Laboratory for High
Energy Physics, University of Bern, Bern, 3012, Switzerland
Tomoko Ariga
Faculty of Arts and Science, Kyushu University, Fukuoka, 819-0385,
Japan
Antonio Ereditato
Albert Einstein Center for Fundamental Physics, Laboratory for High
Energy Physics, University of Bern, Bern, 3012, Switzerland
Ryuichi Nishiyama
Earthquake Research Institute, The University of Tokyo, Tokyo,
113-0032, Japan
Ciro Pistillo
Albert Einstein Center for Fundamental Physics, Laboratory for High
Energy Physics, University of Bern, Bern, 3012, Switzerland
Paola Scampoli
Albert Einstein Center for Fundamental Physics, Laboratory for High
Energy Physics, University of Bern, Bern, 3012, Switzerland
Physics Department “Ettore Pancini”, University of Naples Federico
II, Naples, 80126, Italy
Mykhailo Vladymyrov
Albert Einstein Center for Fundamental Physics, Laboratory for High
Energy Physics, University of Bern, Bern, 3012, Switzerland
Fritz Schlunegger
Institute of Geological Sciences, University of Bern, Bern, 3012,
Switzerland
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Grain size data are important for studying and managing rivers, but they are difficult to obtain in the field. Therefore, methods have been developed that use images from small and remotely piloted aircraft. However, uncertainty in grain size data from such image-based products is understudied. Here we present a new way of uncertainty estimation that includes fully modeled errors. We use this technique to assess the effect of several image acquisition aspects on grain size uncertainty.
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Muon tomography is a technology, similar to X-ray tomography, to image the interior of an object, including geologically interesting ones. In this work, we examined the influence of rock composition on the physical measurements, and the possible error that is made by assuming a too-simplistic rock model. We performed numerical simulations for a more realistic rock model and found that beyond 300 m of rock, the composition starts to play a significant role and has to be accounted for.
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E&G Quaternary Sci. J., 71, 163–190, https://doi.org/10.5194/egqsj-71-163-2022, https://doi.org/10.5194/egqsj-71-163-2022, 2022
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Earth Surf. Dynam., 10, 457–471, https://doi.org/10.5194/esurf-10-457-2022, https://doi.org/10.5194/esurf-10-457-2022, 2022
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Based on thermochronological data, we infer thrusting along-strike the northern rim of the Central Alps between 12–4 Ma. While the lithology influences the pattern of thrusting at the local scale, we observe that thrusting in the foreland is a long-wavelength feature occurring between Lake Geneva and Salzburg. This coincides with the geometry and dynamics of the attached lithospheric slab at depth. Thus, thrusting in the foreland is at least partly linked to changes in slab dynamics.
Fritz Schlunegger, Romain Delunel, and Philippos Garefalakis
Earth Surf. Dynam., 8, 717–728, https://doi.org/10.5194/esurf-8-717-2020, https://doi.org/10.5194/esurf-8-717-2020, 2020
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We calculated the probability of sediment transport in coarse-grained mountainous streams in the Alps and the Andes where data on water discharge is available. We find a positive correlation between the predicted probability of sediment transport and the grain size sorting of the bed material. We suggest that besides sediment discharge, the bedload sorting exerts a significant influence on the mobility of sediment and thus on the stability of gravel bars in mountainous streams.
David Mair, Alessandro Lechmann, Romain Delunel, Serdar Yeşilyurt, Dmitry Tikhomirov, Christof Vockenhuber, Marcus Christl, Naki Akçar, and Fritz Schlunegger
Earth Surf. Dynam., 8, 637–659, https://doi.org/10.5194/esurf-8-637-2020, https://doi.org/10.5194/esurf-8-637-2020, 2020
Philippos Garefalakis and Fritz Schlunegger
Solid Earth, 10, 2045–2072, https://doi.org/10.5194/se-10-2045-2019, https://doi.org/10.5194/se-10-2045-2019, 2019
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The controls on the 20 Myr old Burdigalian transgression in the Swiss Molasse basin have been related to a reduction in sediment flux, a rise in global sea level, or tectonic processes in the adjacent Alps. Here, we readdress this problem and extract stratigraphic signals from the Upper Marine Molasse deposits in Switzerland. In conclusion, we consider rollback tectonics to be the main driving force controlling the transgression, which is related to a deepening and widening of the basin.
François Clapuyt, Veerle Vanacker, Marcus Christl, Kristof Van Oost, and Fritz Schlunegger
Solid Earth, 10, 1489–1503, https://doi.org/10.5194/se-10-1489-2019, https://doi.org/10.5194/se-10-1489-2019, 2019
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Using state-of-the-art geomorphic techniques, we quantified a 2-order of magnitude discrepancy between annual, decadal, and millennial sediment fluxes of a landslide-affected mountainous river catchment in the Swiss Alps. Our results illustrate that the impact of a single sediment pulse is strongly attenuated at larger spatial and temporal scales by sediment transport. The accumulation of multiple sediment pulses has rather a measurable impact on the regional pattern of sediment fluxes.
Samuel Mock, Christoph von Hagke, Fritz Schlunegger, István Dunkl, and Marco Herwegh
Solid Earth Discuss., https://doi.org/10.5194/se-2019-56, https://doi.org/10.5194/se-2019-56, 2019
Revised manuscript not accepted
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Based on own and published age data, we can infer tectonic pulses along-strike the entire northern rim of the Central Alps between 12–4 million years. Although lithologic variations largely influence the local deformation pattern, the tectonic signal is remarkably consistent all the way from Lake Geneva to Salzburg. This might result from a deep-seated tectonic force and marks a change from dominantly vertical to large-scale horizontal tectonics in the late stage of Alpine orogeny.
Alessandro Lechmann, David Mair, Akitaka Ariga, Tomoko Ariga, Antonio Ereditato, Ryuichi Nishiyama, Ciro Pistillo, Paola Scampoli, Fritz Schlunegger, and Mykhailo Vladymyrov
Solid Earth, 9, 1517–1533, https://doi.org/10.5194/se-9-1517-2018, https://doi.org/10.5194/se-9-1517-2018, 2018
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Muon tomography is a technology, similar to X-ray tomography, to image the interior of an object, including geologically interesting ones. In this work, we examined the influence of rock composition on the physical measurements, and the possible error that is made by assuming a too-simplistic rock model. We performed numerical simulations for a more realistic rock model and found that beyond 300 m of rock, the composition starts to play a significant role and has to be accounted for.
David Mair, Alessandro Lechmann, Marco Herwegh, Lukas Nibourel, and Fritz Schlunegger
Solid Earth, 9, 1099–1122, https://doi.org/10.5194/se-9-1099-2018, https://doi.org/10.5194/se-9-1099-2018, 2018
Fritz Schlunegger and Philippos Garefalakis
Earth Surf. Dynam., 6, 743–761, https://doi.org/10.5194/esurf-6-743-2018, https://doi.org/10.5194/esurf-6-743-2018, 2018
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Clast imbrication, which is a depositional fabric where clasts overlap each other similar to a run of toppled dominoes, is one of the most conspicuous sedimentary structures in coarse-grained fluvial deposits. However, the conditions leading to this fabric have been contested. Here, we calculate the hydrological conditions for various stream gradients. We find that clast imbrication most likely forms where channel gradients exceed a threshold and where upper flow regime conditions prevail.
Anna Costa, Peter Molnar, Laura Stutenbecker, Maarten Bakker, Tiago A. Silva, Fritz Schlunegger, Stuart N. Lane, Jean-Luc Loizeau, and Stéphanie Girardclos
Hydrol. Earth Syst. Sci., 22, 509–528, https://doi.org/10.5194/hess-22-509-2018, https://doi.org/10.5194/hess-22-509-2018, 2018
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We explore the signal of a warmer climate in the suspended-sediment dynamics of a regulated and human-impacted Alpine catchment. We demonstrate that temperature-driven enhanced melting of glaciers, which occurred in the mid-1980s, played a dominant role in suspended sediment concentration rise, through increased runoff from sediment-rich proglacial areas, increased contribution of sediment-rich meltwater, and increased sediment supply in proglacial areas due to glacier recession.
François Clapuyt, Veerle Vanacker, Fritz Schlunegger, and Kristof Van Oost
Earth Surf. Dynam., 5, 791–806, https://doi.org/10.5194/esurf-5-791-2017, https://doi.org/10.5194/esurf-5-791-2017, 2017
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This work aims at understanding the behaviour of an earth flow located in the Swiss Alps by reconstructing very accurately its topography over a 2-year period. Aerial photos taken from a drone, which are then processed using a computer vision algorithm, were used to derive the topographic datasets. Combination and careful interpretation of high-resolution topographic analyses reveal the internal mechanisms of the earthflow and its complex rotational structure, which is evolving over time.
Camille Litty, Fritz Schlunegger, and Willem Viveen
Earth Surf. Dynam., 5, 571–583, https://doi.org/10.5194/esurf-5-571-2017, https://doi.org/10.5194/esurf-5-571-2017, 2017
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This paper focuses on the analysis of the properties controlling the grain size in the streams of the western Peruvian Andes. Pebble size distributions in these streams have been compared to fluvial processes and basin properties. The resulting trends and differences in sediment properties seem to have been controlled by threshold conditions upon supply and transport.
Laura Stutenbecker, Anna Costa, and Fritz Schlunegger
Earth Surf. Dynam., 4, 253–272, https://doi.org/10.5194/esurf-4-253-2016, https://doi.org/10.5194/esurf-4-253-2016, 2016
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This paper considers the influence of lithology on the landscape development in the Central Swiss Alps. In high-alpine settings such as the upper Rhône valley, external forcing by climate, glaciation and uplift affects the geomorphological evolution of the landscape. By careful compilation of published data and geomorphological analysis we found that the rock type and its susceptibility to erosion are the main factors controlling the response time to those perturbations.
K. P. Norton, F. Schlunegger, and C. Litty
Earth Surf. Dynam., 4, 147–157, https://doi.org/10.5194/esurf-4-147-2016, https://doi.org/10.5194/esurf-4-147-2016, 2016
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Cut-fill terraces are common landforms throughout the world. Their distribution both in space and time is not clear-cut, as they can arise from numerous processes. We apply a climate-dependent regolith production algorithm to determine potential sediment loads during climate shifts. When combined with transport capacity, our results suggest that the cut-fill terraces of western Peru can result from transient stripping of hillslope sediment but not steady-state hillslope erosion.
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Ice sheets present a thickness of a few kilometres, leading to a vertical deformation of the crust of up to a kilometre. This process depends on properties of the solid Earth, which can be regionally very different. We propose a model that accounts for this often-ignored heterogeneity and run 100 000 simulation years in minutes. Thus, the evolution of ice sheets is modeled with better accuracy, which is critical for a good mitigation of climate change and, in particular, sea-level rise.
Sia Ghelichkhan, Angus Gibson, D. Rhodri Davies, Stephan C. Kramer, and David A. Ham
Geosci. Model Dev., 17, 5057–5086, https://doi.org/10.5194/gmd-17-5057-2024, https://doi.org/10.5194/gmd-17-5057-2024, 2024
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We introduce the Geoscientific ADjoint Optimisation PlaTform (G-ADOPT), designed for inverse modelling of Earth system processes, with an initial focus on mantle dynamics. G-ADOPT is built upon Firedrake, Dolfin-Adjoint and the Rapid Optimisation Library, which work together to optimise models using an adjoint method, aligning them with seismic and geologic datasets. We demonstrate G-ADOPT's ability to reconstruct mantle evolution and thus be a powerful tool in geosciences.
Conor P. B. O'Malley, Gareth G. Roberts, James Panton, Fred D. Richards, J. Huw Davies, Victoria M. Fernandes, and Sia Ghelichkhan
EGUsphere, https://doi.org/10.5194/egusphere-2024-1893, https://doi.org/10.5194/egusphere-2024-1893, 2024
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We wish to understand how the history of flowing rock within Earth's interior impacts deflection of its surface. Observations exist to address this problem, and mathematics and different computing tools can be used to predict histories of flow. We explore how modelling choices impact calculated vertical deflections. The sensitivity of vertical motions at Earth's surface to deep flow is assessed, demonstrating how surface observations can enlighten flow histories.
David Oakley, Christelle Loiselet, Thierry Coowar, Vincent Labbe, and Jean-Paul Callot
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-35, https://doi.org/10.5194/gmd-2024-35, 2024
Revised manuscript accepted for GMD
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In this work, we develop two automated workflows for identifying fold structures on geological maps using machine learning. In one method, we identify map patterns suggestive of folding based on pre-defined rules and apply a clustering algorithm to group those from the same fold together. In the other, we train a convolutional neural network to identify folds based on a set of training examples. We apply both methods to a set of synthetic maps and to real-world maps from two locations in France.
Rene Gassmöller, Juliane Dannberg, Wolfgang Bangerth, Elbridge Gerry Puckett, and Cedric Thieulot
Geosci. Model Dev., 17, 4115–4134, https://doi.org/10.5194/gmd-17-4115-2024, https://doi.org/10.5194/gmd-17-4115-2024, 2024
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Numerical models that use simulated particles are a powerful tool for investigating flow in the interior of the Earth, but the accuracy of these models is not fully understood. Here we present two new benchmarks that allow measurement of model accuracy. We then document that better accuracy matters for applications like convection beneath an oceanic plate. Our benchmarks and methods are freely available to help the community develop better models.
Malte Jörn Ziebarth and Sebastian von Specht
Geosci. Model Dev., 17, 2783–2828, https://doi.org/10.5194/gmd-17-2783-2024, https://doi.org/10.5194/gmd-17-2783-2024, 2024
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Thermal energy from Earth’s active interior constantly dissipates through Earth’s surface. This heat flow is not spatially uniform, and its exact pattern is hard to predict since it depends on crustal and mantle properties, both varying across scales. Our new model REHEATFUNQ addresses this difficulty by treating the fluctuations of heat flow within a region statistically. REHEATFUNQ estimates the regional distribution of heat flow and quantifies known structural signals therein.
Shouzhi Chen, Yongshuo H. Fu, Mingwei Li, Zitong Jia, Yishuo Cui, and Jing Tang
Geosci. Model Dev., 17, 2509–2523, https://doi.org/10.5194/gmd-17-2509-2024, https://doi.org/10.5194/gmd-17-2509-2024, 2024
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It is still a challenge to achieve an accurate simulation of vegetation phenology in the dynamic global vegetation models (DGVMs). We implemented and coupled the spring and autumn phenology models into one of the DGVMs, LPJ-GUESS, and substantially improved the accuracy in capturing the start and end dates of growing seasons. Our study highlights the importance of getting accurate phenology estimations to reduce the uncertainties in plant distribution and terrestrial carbon and water cycling.
Dechao An, Jinyun Guo, Xiaotao Chang, Zhenming Wang, Yongjun Jia, Xin Liu, Valery Bondur, and Heping Sun
Geosci. Model Dev., 17, 2039–2052, https://doi.org/10.5194/gmd-17-2039-2024, https://doi.org/10.5194/gmd-17-2039-2024, 2024
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Seafloor topography, as fundamental geoinformation in marine surveying and mapping, plays a crucial role in numerous scientific studies. In this paper, we focus on constructing a high-precision seafloor topography and bathymetry model for the Philippine Sea (5° N–35° N, 120° E–150° E), based on shipborne bathymetric data and marine gravity anomalies, and evaluate the reliability of the model's accuracy.
Octavi Gómez-Novell, Bruno Pace, Francesco Visini, Joanna Faure Walker, and Oona Scotti
Geosci. Model Dev., 16, 7339–7355, https://doi.org/10.5194/gmd-16-7339-2023, https://doi.org/10.5194/gmd-16-7339-2023, 2023
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Knowing the rate at which earthquakes happen along active faults is crucial to characterize the hazard that they pose. We present an approach (Paleoseismic EArthquake CHronologies, PEACH) to correlate and compute seismic histories using paleoseismic data, a type of data that characterizes past seismic activity from the geological record. Our approach reduces the uncertainties of the seismic histories and overall can improve the knowledge on fault rupture behavior for the seismic hazard.
Sébastien Carretier, Vincent Regard, Youssouf Abdelhafiz, and Bastien Plazolles
Geosci. Model Dev., 16, 6741–6755, https://doi.org/10.5194/gmd-16-6741-2023, https://doi.org/10.5194/gmd-16-6741-2023, 2023
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We present the development of a code to simulate simultaneously the dynamics of landscapes over geological time and the evolution of the concentration of cosmogenic isotopes in grains throughout their transport from the slopes to the river outlets. This new model makes it possible to study the relationship between the detrital signal of cosmogenic isotope concentration measured in sediment and the erosion--deposition processes in watersheds.
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, and Samantha Engwell
Geosci. Model Dev., 16, 6309–6336, https://doi.org/10.5194/gmd-16-6309-2023, https://doi.org/10.5194/gmd-16-6309-2023, 2023
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We present version 2 of the numerical code IMEX-SfloW2D. With this version it is possible to simulate a wide range of volcanic mass flows (pyroclastic avalanches, lahars, pyroclastic surges), and here we present its application to transient dilute pyroclastic density currents (PDCs). A simulation of the 1883 Krakatau eruption demonstrates the capability of the numerical model to face a complex natural case involving the propagation of PDCs over the sea surface and across topographic obstacles.
Caroline J. van Calcar, Roderik S. W. van de Wal, Bas Blank, Bas de Boer, and Wouter van der Wal
Geosci. Model Dev., 16, 5473–5492, https://doi.org/10.5194/gmd-16-5473-2023, https://doi.org/10.5194/gmd-16-5473-2023, 2023
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The waxing and waning of the Antarctic ice sheet caused the Earth’s surface to deform, which is stabilizing the ice sheet and mainly determined by the spatially variable viscosity of the mantle. Including this feedback in model simulations led to significant differences in ice sheet extent and ice thickness over the last glacial cycle. The results underline and quantify the importance of including this local feedback effect in ice sheet models when simulating the Antarctic ice sheet evolution.
Baoyi Zhang, Linze Du, Umair Khan, Yongqiang Tong, Lifang Wang, and Hao Deng
Geosci. Model Dev., 16, 3651–3674, https://doi.org/10.5194/gmd-16-3651-2023, https://doi.org/10.5194/gmd-16-3651-2023, 2023
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We propose a Hermite–Birkhoff radial basis function (HRBF) formulation, AdaHRBF, with an adaptive gradient magnitude for continuous 3D stratigraphic potential field (SPF) modeling of multiple stratigraphic interfaces. In the linear system of HRBF interpolants constrained by the scattered on-contact attribute points and off-contact attitude points of a set of strata in 3D space, we add a novel optimization term to iteratively obtain the true gradient magnitude.
Mohammad Moulaeifard, Simon Bernard, and Florian Wellmann
Geosci. Model Dev., 16, 3565–3579, https://doi.org/10.5194/gmd-16-3565-2023, https://doi.org/10.5194/gmd-16-3565-2023, 2023
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In this work, we propose a flexible framework to generate and interact with geological models using explicit surface representations. The essence of the work lies in the determination of the flexible control mesh, topologically similar to the main geological structure, watertight and controllable with few control points, to manage the geological structures. We exploited the subdivision surface method in our work, which is commonly used in the animation and gaming industry.
Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch
Geosci. Model Dev., 16, 3459–3478, https://doi.org/10.5194/gmd-16-3459-2023, https://doi.org/10.5194/gmd-16-3459-2023, 2023
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Two novel techniques for ensemble-based data assimilation, suitable for semi-positive-definite variables with highly skewed uncertainty distributions such as tephra deposit mass loading, are applied to reconstruct the tephra fallout deposit resulting from the 2015 Calbuco eruption in Chile. The deposit spatial distribution and the ashfall volume according to the analyses are in good agreement with estimations based on field measurements and isopach maps reported in previous studies.
Hui Gao, Xinming Wu, Jinyu Zhang, Xiaoming Sun, and Zhengfa Bi
Geosci. Model Dev., 16, 2495–2513, https://doi.org/10.5194/gmd-16-2495-2023, https://doi.org/10.5194/gmd-16-2495-2023, 2023
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We propose a workflow to automatically generate synthetic seismic data and corresponding stratigraphic labels (e.g., clinoform facies, relative geologic time, and synchronous horizons) by geological and geophysical forward modeling. Trained with only synthetic datasets, our network works well to accurately and efficiently predict clinoform facies in 2D and 3D field seismic data. Such a workflow can be easily extended for other geological and geophysical scenarios in the future.
Ibsen Chivata Cardenas, Terje Aven, and Roger Flage
Geosci. Model Dev., 16, 1601–1615, https://doi.org/10.5194/gmd-16-1601-2023, https://doi.org/10.5194/gmd-16-1601-2023, 2023
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We discuss challenges in uncertainty quantification for geohazard assessments. The challenges arise from limited data and the one-off nature of geohazard features. The challenges include the credibility of predictions, input uncertainty, and assumptions’ impact. Considerations to increase credibility of the quantification are provided. Crucial tasks in the quantification are the exhaustive scrutiny of the background knowledge coupled with the assessment of deviations of assumptions made.
Zhengfa Bi, Xinming Wu, Zhaoliang Li, Dekuan Chang, and Xueshan Yong
Geosci. Model Dev., 15, 6841–6861, https://doi.org/10.5194/gmd-15-6841-2022, https://doi.org/10.5194/gmd-15-6841-2022, 2022
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We present an implicit modeling method based on deep learning to produce a geologically valid and structurally compatible model from unevenly sampled structural data. Trained with automatically generated synthetic data with realistic features, our network can efficiently model geological structures without the need to solve large systems of mathematical equations, opening new opportunities for further leveraging deep learning to improve modeling capacity in many Earth science applications.
D. Rhodri Davies, Stephan C. Kramer, Sia Ghelichkhan, and Angus Gibson
Geosci. Model Dev., 15, 5127–5166, https://doi.org/10.5194/gmd-15-5127-2022, https://doi.org/10.5194/gmd-15-5127-2022, 2022
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Firedrake is a state-of-the-art system that automatically generates highly optimised code for simulating finite-element (FE) problems in geophysical fluid dynamics. It creates a separation of concerns between employing the FE method and implementing it. Here, we demonstrate the applicability and benefits of Firedrake for simulating geodynamical flows, with a focus on the slow creeping motion of Earth's mantle over geological timescales, which is ultimately the engine driving our dynamic Earth.
Federico Brogi, Simone Colucci, Jacopo Matrone, Chiara Paola Montagna, Mattia De' Michieli Vitturi, and Paolo Papale
Geosci. Model Dev., 15, 3773–3796, https://doi.org/10.5194/gmd-15-3773-2022, https://doi.org/10.5194/gmd-15-3773-2022, 2022
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Computer simulations play a fundamental role in understanding volcanic phenomena. The growing complexity of these simulations requires the development of flexible computational tools that can easily switch between sub-models and solution techniques as well as optimizations. MagmaFOAM is a newly developed library that allows for maximum flexibility for solving multiphase volcanic flows and promotes collaborative work for in-house and community model development, testing, and comparison.
Grace A. Nield, Matt A. King, Rebekka Steffen, and Bas Blank
Geosci. Model Dev., 15, 2489–2503, https://doi.org/10.5194/gmd-15-2489-2022, https://doi.org/10.5194/gmd-15-2489-2022, 2022
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We present a finite-element model of post-seismic solid Earth deformation built in the software package Abaqus for the purpose of calculating post-seismic deformation in the far field of major earthquakes. The model is benchmarked against an existing open-source post-seismic model demonstrating good agreement. The advantage over existing models is the potential for simple modification to include 3-D Earth structure, non-linear rheologies and alternative or multiple sources of stress change.
Zuzanna M. Swirad and Adam P. Young
Geosci. Model Dev., 15, 1499–1512, https://doi.org/10.5194/gmd-15-1499-2022, https://doi.org/10.5194/gmd-15-1499-2022, 2022
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Cliff base and top lines that delimit coastal cliff faces are usually manually digitized based on maps, aerial photographs, terrain models, etc. However, manual mapping is time consuming and depends on the mapper's decisions and skills. To increase the objectivity and efficiency of cliff mapping, we developed CliffDelineaTool, an algorithm that identifies cliff base and top positions along cross-shore transects using elevation and slope characteristics.
Holly Kyeore Han, Natalya Gomez, and Jeannette Xiu Wen Wan
Geosci. Model Dev., 15, 1355–1373, https://doi.org/10.5194/gmd-15-1355-2022, https://doi.org/10.5194/gmd-15-1355-2022, 2022
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Interactions between ice sheets, sea level and the solid Earth occur over a range of timescales from years to tens of thousands of years. This requires coupled ice-sheet–sea-level models to exchange information frequently, leading to a quadratic increase in computation time with the number of model timesteps. We present a new sea-level model algorithm that allows coupled models to improve the computational feasibility and precisely capture short-term interactions within longer simulations.
Jérémie Giraud, Vitaliy Ogarko, Roland Martin, Mark Jessell, and Mark Lindsay
Geosci. Model Dev., 14, 6681–6709, https://doi.org/10.5194/gmd-14-6681-2021, https://doi.org/10.5194/gmd-14-6681-2021, 2021
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We review different techniques to model the Earth's subsurface from geophysical data (gravity field anomaly, magnetic field anomaly) using geological models and measurements of the rocks' properties. We show examples of application using idealised examples reproducing realistic features and provide theoretical details of the open-source algorithm we use.
Eric A. de Kemp
Geosci. Model Dev., 14, 6661–6680, https://doi.org/10.5194/gmd-14-6661-2021, https://doi.org/10.5194/gmd-14-6661-2021, 2021
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This is a proof of concept and review paper of spatial agents, with initial research focusing on geomodelling. The results may be of interest to others working on complex regional geological modelling with sparse data. Structural agent-based swarming behaviour is key to advancing this field. The study provides groundwork for research in structural geology 3D modelling with spatial agents. This work was done with NetLogo, a free agent modelling platform used mostly for teaching complex systems.
José M. Bastías Espejo, Andy Wilkins, Gabriel C. Rau, and Philipp Blum
Geosci. Model Dev., 14, 6257–6272, https://doi.org/10.5194/gmd-14-6257-2021, https://doi.org/10.5194/gmd-14-6257-2021, 2021
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The hydraulic and mechanical properties of the subsurface are inherently heterogeneous. RHEA is a simulator that can perform couple hydro-geomechanical processes in heterogeneous porous media with steep gradients. RHEA is able to fully integrate spatial heterogeneity, allowing allocation of distributed hydraulic and geomechanical properties at mesh element level. RHEA is a valuable tool that can simulate problems considering realistic heterogeneity inherent to geologic formations.
Lachlan Grose, Laurent Ailleres, Gautier Laurent, Guillaume Caumon, Mark Jessell, and Robin Armit
Geosci. Model Dev., 14, 6197–6213, https://doi.org/10.5194/gmd-14-6197-2021, https://doi.org/10.5194/gmd-14-6197-2021, 2021
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Fault discontinuities in rock packages represent the plane where two blocks of rock have moved. They are challenging to incorporate into geological models because the geometry of the faulted rock units are defined by not only the location of the discontinuity but also the kinematics of the fault. In this paper, we outline a structural geology framework for incorporating faults into geological models by directly incorporating kinematics into the mathematical framework of the model.
Florence Colleoni, Laura De Santis, Enrico Pochini, Edy Forlin, Riccardo Geletti, Giuseppe Brancatelli, Magdala Tesauro, Martina Busetti, and Carla Braitenberg
Geosci. Model Dev., 14, 5285–5305, https://doi.org/10.5194/gmd-14-5285-2021, https://doi.org/10.5194/gmd-14-5285-2021, 2021
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PALEOSTRIP has been developed in the framework of past Antarctic ice sheet reconstructions for periods when bathymetry around Antarctica differed substantially from today. It has been designed for users with no knowledge of numerical modelling and allows users to switch on and off the processes involved in backtracking and backstripping. Applications are broad, and it can be used to restore any continental margin bathymetry or sediment thickness and to perform basin analysis.
Lachlan Grose, Laurent Ailleres, Gautier Laurent, and Mark Jessell
Geosci. Model Dev., 14, 3915–3937, https://doi.org/10.5194/gmd-14-3915-2021, https://doi.org/10.5194/gmd-14-3915-2021, 2021
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LoopStructural is an open-source 3D geological modelling library with a model design allowing for multiple different algorithms to be used for comparison for the same geology. Geological structures are modelled using structural geology concepts and techniques, allowing for complex structures such as overprinted folds and faults to be modelled. In the paper, we demonstrate automatically generating a 3-D model from map2loop-processed geological survey data of the Flinders Ranges, South Australia.
Zhenjiao Jiang, Dirk Mallants, Lei Gao, Tim Munday, Gregoire Mariethoz, and Luk Peeters
Geosci. Model Dev., 14, 3421–3435, https://doi.org/10.5194/gmd-14-3421-2021, https://doi.org/10.5194/gmd-14-3421-2021, 2021
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Fast and reliable tools are required to extract hidden information from big geophysical and remote sensing data. A deep-learning model in 3D image construction from 2D image(s) is here developed for paleovalley mapping from globally available digital elevation data. The outstanding performance for 3D subsurface imaging gives confidence that this generic novel tool will make better use of existing geophysical and remote sensing data for improved management of limited earth resources.
Stephan C. Kramer, D. Rhodri Davies, and Cian R. Wilson
Geosci. Model Dev., 14, 1899–1919, https://doi.org/10.5194/gmd-14-1899-2021, https://doi.org/10.5194/gmd-14-1899-2021, 2021
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Computational models of Earth's mantle require rigorous verification and validation. Analytical solutions of the underlying Stokes equations provide a method to verify that these equations are accurately solved for. However, their derivation in spherical and cylindrical shell domains with physically relevant boundary conditions is involved. This paper provides a number of solutions. They are provided in a Python package (Assess) and their use is demonstrated in a convergence study with Fluidity.
Bastian van den Bout, Theo van Asch, Wei Hu, Chenxiao X. Tang, Olga Mavrouli, Victor G. Jetten, and Cees J. van Westen
Geosci. Model Dev., 14, 1841–1864, https://doi.org/10.5194/gmd-14-1841-2021, https://doi.org/10.5194/gmd-14-1841-2021, 2021
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Landslides, debris flows and other types of dense gravity-driven flows threaten livelihoods around the globe. Understanding the mechanics of these flows can be crucial for predicting their behaviour and reducing disaster risk. Numerical models assume that the solids and fluids of the flow are unstructured. The newly presented model captures the internal structure during movement. This important step can lead to more accurate predictions of landslide movement.
Andrzej Górszczyk and Stéphane Operto
Geosci. Model Dev., 14, 1773–1799, https://doi.org/10.5194/gmd-14-1773-2021, https://doi.org/10.5194/gmd-14-1773-2021, 2021
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We present the 3D multi-parameter synthetic geomodel of the subduction zone, as well as the workflow designed to implement all of its components. The model contains different geological structures of various scales and complexities. It is intended to serve as a tool for the geophysical community to validate imaging approaches, design acquisition techniques, estimate uncertainties, benchmark computing approaches, etc.
Mattia de' Michieli Vitturi and Federica Pardini
Geosci. Model Dev., 14, 1345–1377, https://doi.org/10.5194/gmd-14-1345-2021, https://doi.org/10.5194/gmd-14-1345-2021, 2021
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Here, we present PLUME-MoM-TSM, a volcanic plume model that allows us to quantify the formation of aggregates during the rise of the plume, model the phase change of water, and include the possibility to simulate the initial spreading of the tephra umbrella cloud intruding from the volcanic column into the atmosphere. The model is first applied to the 2015 Calbuco eruption (Chile) and provides an analytical relationship between the upwind spreading and some characteristic of the volcanic column.
Zhikui Guo, Lars Rüpke, and Chunhui Tao
Geosci. Model Dev., 13, 6547–6565, https://doi.org/10.5194/gmd-13-6547-2020, https://doi.org/10.5194/gmd-13-6547-2020, 2020
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We present the 3-D hydro-thermo-transport model HydrothermalFoam v1.0, which we designed to provide the marine geosciences community with an easy-to-use and state-of-the-art tool for simulating mass and energy transport in submarine hydrothermal systems. HydrothermalFoam is based on the popular open-source platform OpenFOAM, comes with a number of tutorials, and is published under the GNU General Public License v3.0.
Marisol Monterrubio-Velasco, F. Ramón Zúñiga, Quetzalcoatl Rodríguez-Pérez, Otilio Rojas, Armando Aguilar-Meléndez, and Josep de la Puente
Geosci. Model Dev., 13, 6361–6381, https://doi.org/10.5194/gmd-13-6361-2020, https://doi.org/10.5194/gmd-13-6361-2020, 2020
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The Mexican subduction zone along the Pacific coast is one of the most active seismic zones in the world, where every year larger-magnitude earthquakes shake huge inland cities such as Mexico City. In this work, we use TREMOL (sThochastic Rupture Earthquake ModeL) to simulate the seismicity observed in this zone. Our numerical results reinforce the hypothesis that in some subduction regions single asperities are responsible for producing the observed seismicity.
Thomas Zwinger, Grace A. Nield, Juha Ruokolainen, and Matt A. King
Geosci. Model Dev., 13, 1155–1164, https://doi.org/10.5194/gmd-13-1155-2020, https://doi.org/10.5194/gmd-13-1155-2020, 2020
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We present a newly developed flat-earth model, Elmer/Earth, for viscoelastic treatment of solid earth deformation under ice loads. Unlike many previous approaches with proprietary software, this model is based on the open-source FEM code Elmer, with the advantage for scientists to apply and alter the model without license constraints. The new-generation full-stress ice-sheet model Elmer/Ice shares the same code base, enabling future coupled ice-sheet–glacial-isostatic-adjustment simulations.
Swarup Chauhan, Kathleen Sell, Wolfram Rühaak, Thorsten Wille, and Ingo Sass
Geosci. Model Dev., 13, 315–334, https://doi.org/10.5194/gmd-13-315-2020, https://doi.org/10.5194/gmd-13-315-2020, 2020
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We present CobWeb 1.0, a graphical user interface for analysing tomographic images of geomaterials. CobWeb offers different machine learning techniques for accurate multiphase image segmentation and visualizing material specific parameters such as pore size distribution, relative porosity and volume fraction. We demonstrate a novel approach of dual filtration and dual segmentation to eliminate edge enhancement artefact in synchrotron-tomographic datasets and provide the computational code.
Loïc Huder, Nicolas Gillet, and Franck Thollard
Geosci. Model Dev., 12, 3795–3803, https://doi.org/10.5194/gmd-12-3795-2019, https://doi.org/10.5194/gmd-12-3795-2019, 2019
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The pygeodyn package is a geomagnetic data assimilation tool written in Python. It gives access to the Earth's core flow dynamics, controlled by geomagnetic observations, by means of a reduced numerical model anchored to geodynamo simulation statistics. It aims to provide the community with a user-friendly and tunable data assimilation algorithm. It can be used for education, geomagnetic model production or tests in conjunction with webgeodyn, a set of visualization tools for geomagnetic models.
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, Giacomo Lari, and Alvaro Aravena
Geosci. Model Dev., 12, 581–595, https://doi.org/10.5194/gmd-12-581-2019, https://doi.org/10.5194/gmd-12-581-2019, 2019
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Pyroclastic avalanches are a type of granular flow generated at active volcanoes by different mechanisms, including the collapse of steep pyroclastic deposits (e.g., scoria and ash cones) and fountaining during moderately explosive eruptions. We present IMEX_SfloW2D, a depth-averaged flow model describing the granular mixture as a single-phase granular fluid. Benchmark cases and preliminary application to the simulation of the 11 February pyroclastic avalanche at Mt. Etna (Italy) are shown.
Yihao Wu, Zhicai Luo, Bo Zhong, and Chuang Xu
Geosci. Model Dev., 11, 4797–4815, https://doi.org/10.5194/gmd-11-4797-2018, https://doi.org/10.5194/gmd-11-4797-2018, 2018
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A multilayer approach is parameterized for model development, and the multiple layers are located at different depths beneath the Earth’s surface. This method may be beneficial for gravity/manget field modeling, which may outperform the traditional single-layer approach.
Andres Payo, Bismarck Jigena Antelo, Martin Hurst, Monica Palaseanu-Lovejoy, Chris Williams, Gareth Jenkins, Kathryn Lee, David Favis-Mortlock, Andrew Barkwith, and Michael A. Ellis
Geosci. Model Dev., 11, 4317–4337, https://doi.org/10.5194/gmd-11-4317-2018, https://doi.org/10.5194/gmd-11-4317-2018, 2018
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We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed coastline from a digital elevation model (DEM). The algorithm builds upon existing methods but is specifically designed to resolve very irregular planform coastlines with many bays and capes, such as parts of the coastline of Great Britain.
Hugo Cruz-Jiménez, Guotu Li, Paul Martin Mai, Ibrahim Hoteit, and Omar M. Knio
Geosci. Model Dev., 11, 3071–3088, https://doi.org/10.5194/gmd-11-3071-2018, https://doi.org/10.5194/gmd-11-3071-2018, 2018
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One of the most important challenges seismologists and earthquake engineers face is reliably estimating ground motion in an area prone to large damaging earthquakes. This study aimed at better understanding the relationship between characteristics of geological faults (e.g., hypocenter location, rupture size/location, etc.) and resulting ground motion, via statistical analysis of a rupture simulation model. This study provides important insight on ground-motion responses to geological faults.
Fabio Crameri
Geosci. Model Dev., 11, 2541–2562, https://doi.org/10.5194/gmd-11-2541-2018, https://doi.org/10.5194/gmd-11-2541-2018, 2018
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Firstly, this study acts as a compilation of key geodynamic diagnostics and describes how to automatise them for a more efficient scientific procedure. Secondly, it outlines today's key pitfalls of scientific visualisation and provides means to circumvent them with, for example, a novel set of fully scientific colour maps. Thirdly, it introduces StagLab 3.0, a software that applies such fully automated diagnostics and state-of-the-art visualisation in the blink of an eye.
Michael Bock, Olaf Conrad, Andreas Günther, Ernst Gehrt, Rainer Baritz, and Jürgen Böhner
Geosci. Model Dev., 11, 1641–1652, https://doi.org/10.5194/gmd-11-1641-2018, https://doi.org/10.5194/gmd-11-1641-2018, 2018
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We introduce the Soil and
Landscape Evolution Model (SaLEM) for the prediction of soil parent material evolution following a lithologically differentiated approach. The GIS tool is working within the software framework SAGA GIS. Weathering, erosion and transport functions are calibrated using extrinsic and intrinsic parameter data. First results indicate that our approach shows evidence for the spatiotemporal prediction of soil parental material properties.
Karthik Iyer, Henrik Svensen, and Daniel W. Schmid
Geosci. Model Dev., 11, 43–60, https://doi.org/10.5194/gmd-11-43-2018, https://doi.org/10.5194/gmd-11-43-2018, 2018
Short summary
Short summary
Igneous intrusions in sedimentary basins have a profound effect on the thermal structure of the hosting sedimentary rocks. In this paper, we present a user-friendly 1-D FEM-based tool, SILLi, that calculates the thermal effects of sill intrusions on the enclosing sedimentary stratigraphy. The motivation is to make a standardized numerical toolkit openly available that can be widely used by scientists with different backgrounds to test the effects of magmatic bodies in a wide variety of settings.
Cited articles
Agostinelli, S., Allison, J., Amako, K. et al.: Geant4 – a simulation toolkit, Nucl. Instrum.
Methods Phys. Res. Sect. Accel. Spectrometers Detect. Assoc. Equip., 506,
250–303, https://doi.org/10.1016/S0168-9002(03)01368-8, 2003.
Aitchison, J.: The Statistical Analysis of Compositional Data, 1st edn., Monographs on Statistics and Applied Probability, Chapman and Hall Ltd, London & New York, ISBN 9780412280603, 1986.
Alvarez, L. W., Anderson, J. A., El Bedwei, F., Burkhard, J., Fakhry, A.,
Girgis, A., Goneid, A., Hassan, F., Iverson, D., Lynch, G., Miligy, Z.,
Moussa, A. H., Mohammed-Sharkawi, and Yazolino, L.: Search for Hidden
Chambers in the Pyramids, Science, 167, 832–839, 1970.
Ambrosino, F., Anastasio, A., Basta, D., Bonechi, L., Brianzi, M., Bross,
A., Callier, S., Caputo, A., Ciaranfi, R., Cimmino, L., D'Alessandro, R.,
D'Auria, L., Taille, C. de L., Energico, S., Garufi, F., Giudicepietro, F.,
Lauria, A., Macedonio, G., Martini, M., Masone, V., Mattone, C., Montesi, M.
C., Noli, P., Orazi, M., Passeggio, G., Peluso, R., Pla-Dalmau, A., Raux,
L., Rubinov, P., Saracino, G., Scarlini, E., Scarpato, G., Sekhniaidze, G.,
Starodubtsev, O., Strolin, P., Taketa, A., Tanaka, H. K. M., Vanzanella, A.,
and Viliani, L.: The MU-RAY project: detector technology and first data from
Mt. Vesuvius, J. Instrum., 9, C02029,
https://doi.org/10.1088/1748-0221/9/02/C02029, 2014.
Ambrosino, F., Anastasio, A., Bross, A., Béné, S., Boivin, P.,
Bonechi, L., Cârloganu, C., Ciaranfi, R., Cimmino, L., Combaret, C.,
D'Alessandro, R., Durand, S., Fehr, F., Français, V., Garufi, F.,
Gailler, L., Labazuy, P., Laktineh, I., Lénat, J.-F., Masone, V.,
Miallier, D., Mirabito, L., Morel, L., Mori, N., Niess, V., Noli, P.,
Pla-Dalmau, A., Portal, A., Rubinov, P., Saracino, G., Scarlini, E.,
Strolin, P., and Vulpescu, B.: Joint measurement of the atmospheric muon
flux through the Puy de Dôme volcano with plastic scintillators and
Resistive Plate Chambers detectors, J. Geophys. Res.-Sol. Ea., 120,
7290–7307, https://doi.org/10.1002/2015JB011969, 2015.
Anghel, V., Armitage, J., Baig, F., Boniface, K., Boudjemline, K., Bueno,
J., Charles, E., Drouin, P.-L., Erlandson, A., Gallant, G., Gazit, R.,
Godin, D., Golovko, V. V., Howard, C., Hydomako, R., Jewett, C., Jonkmans,
G., Liu, Z., Robichaud, A., Stocki, T. J., Thompson, M., and Waller, D.: A
plastic scintillator-based muon tomography system with an integrated muon
spectrometer, Nucl. Instrum. Methods Phys. Res. Sect. Accel. Spectrometers
Detect. Assoc. Equip., 798, 12–23,
https://doi.org/10.1016/j.nima.2015.06.054, 2015.
Ariga, A., Ariga, T., Ereditato, A., Käser, S., Lechmann, A., Mair, D.,
Nishiyama, R., Pistillo, C., Scampoli, P., Schlunegger, F., and Vladymyrov,
M.: A Nuclear Emulsion Detector for the Muon Radiography of a Glacier
Structure, Instruments, 2, 7, https://doi.org/10.3390/instruments2020007,
2018.
ASTM C914-09: Standard Test Method for Bulk Density and Volume of Solid Refactories by Wax Immersion, ASTM International, West Conshohocken, PA, https://doi.org/10.1520/C0914-09R15, 2015.
Barnaföldi, G. G., Hamar, G., Melegh, H. G., Oláh, L., Surányi,
G., and Varga, D.: Portable cosmic muon telescope for environmental
applications, Nucl. Instrum. Methods Phys. Res. Sect. Accel. Spectrometers
Detect. Assoc. Equip., 689, 60–69,
https://doi.org/10.1016/j.nima.2012.06.015, 2012.
Barnoud, A., Cayol, V., Niess, V., Cârloganu, C., Lelièvre, P.,
Labazuy, P., and Le Ménédeu, E.: Bayesian joint muographic and
gravimetric inversion applied to volcanoes, Geophys. J. Int., 218,
2179–2194, https://doi.org/10.1093/gji/ggz300, 2019.
Bellman, R. E.: Adaptive Control Processes A Guided Tour, Princeton
University Press, Princeton, ISBN 9781400874668, 2016.
Betancourt, M. J. and Girolami, M.: Hamiltonian Monte Carlo for Hierarchical Models, arXiv [preprint], arXiv:1312.0906, 3 December 2013.
Blake, G. R. and Hartge, K. H.: Bulk Density, in: Methods of Soil Analysis:
Part 1 – Physical and Mineralogical Methods, vol. 9, edited by: Klute, A.,
American Society of Agronomy and Soil Science Society of America, Madison,
363–375, https://doi.org/10.2136/sssabookser5.1.2ed, 1986.
Bonechi, L., D'Alessandro, R., Mori, N., and Viliani, L.: A projective
reconstruction method of underground or hidden structures using atmospheric
muon absorption data, JINST, 10, P02003,
https://doi.org/10.1088/1748-0221/10/02/P02003, 2015.
Bugaev, E. V., Misaki, A., Naumov, V. A., Sinegovskaya, T. S., Sinegovsky,
S. I., and Takahashi, N.: Atmospheric Muon Flux at Sea Level, Underground,
and Underwater, Phys. Rev. D, 58, 054001,
https://doi.org/10.1103/PhysRevD.58.054001, 1998.
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and Rubin, D. B.: Bayesian Data Analysis, 3rd edn., Texts in Statistical Science, CRC Press, Taylor & Francis Group, Boca Raton, ISBN 9781439840955, 2013.
Gerya, T.: Introduction to numerical geodynamic modelling, 1st edn., Cambridge
University Press, Cambridge, New York, ISBN 9780521887540, 2010.
Groom, D. E., Mokhov, N. V., and Striganov, S. I.: MUON STOPPING POWER AND
RANGE TABLES 10 MeV–100 TeV, At. Data Nucl. Data Tables, 78, 183–356,
https://doi.org/10.1006/adnd.2001.0861, 2001.
Guardincerri, E., Rowe, C., Schultz-Fellenz, E., Roy, M., George, N.,
Morris, C., Bacon, J., Durham, M., Morley, D., Plaud-Ramos, K., Poulson, D.,
Baker, D., Bonneville, A., and Kouzes, R.: 3D Cosmic Ray Muon Tomography
from an Underground Tunnel, Pure Appl. Geophys., 174, 2133–2141,
https://doi.org/10.1007/s00024-017-1526-x, 2017.
Hastings, W. K.: Monte Carlo sampling methods using Markov chains and their
applications, Biometrika, 57, 97–109,
https://doi.org/10.1093/biomet/57.1.97, 1970.
Hebbeker, T. and Timmermans, C.: A Compilation of High Energy Atmospheric
Muon Data at Sea Level, Astropart. Phys., 18, 107–127,
https://doi.org/10.1016/S0927-6505(01)00180-3, 2002.
Jonkmans, G., Anghel, V. N. P., Jewett, C., and Thompson, M.: Nuclear waste
imaging and spent fuel verification by muon tomography, Ann. Nucl. Energy,
53, 267–273, https://doi.org/10.1016/j.anucene.2012.09.011, 2013.
Jourde, K., Gibert, D., and Marteau, J.: Improvement of density models of geological structures by fusion of gravity data and cosmic muon radiographies, Geosci. Instrum. Method. Data Syst., 4, 177–188, https://doi.org/10.5194/gi-4-177-2015, 2015.
Jourde, K., Gibert, D., Marteau, J., de Bremond d'Ars, J., and Komorowski,
J.-C.: Muon dynamic radiography of density changes induced by hydrothermal
activity at the La Soufrière of Guadeloupe volcano, Sci. Rep., 6, 33406,
https://doi.org/10.1038/srep33406, 2016.
Kjaerulff, U. B. and Madsen, A. L.: Bayesian Networks and Influence
Diagrams: A Guide to Construction and Analysis, in: Information Science and Statistics, 1st edn., Springer, New York, ISBN 9780387741000, https://doi.org/10.1007/978-0-387-74101-7, 2008.
Kudryavtsev, V. A.: Muon simulation codes MUSIC and MUSUN for underground
physics, Comput. Phys. Commun., 180, 339–346,
https://doi.org/10.1016/j.cpc.2008.10.013, 2009.
Kusagaya, T. and Tanaka, H. K. M.: Development of the very long-range cosmic-ray muon radiographic imaging technique to explore the internal structure of an erupting volcano, Shinmoe-dake, Japan, Geosci. Instrum. Method. Data Syst., 4, 215–226, https://doi.org/10.5194/gi-4-215-2015, 2015.
Lechmann, A., Mair, D., Ariga, A., Ariga, T., Ereditato, A., Nishiyama, R., Pistillo, C., Scampoli, P., Schlunegger, F., and Vladymyrov, M.: The effect of rock composition on muon tomography measurements, Solid Earth, 9, 1517–1533, https://doi.org/10.5194/se-9-1517-2018, 2018.
Lechmann, A., Mair, D., Ariga, A., Ariga, T., Ereditato, A., Nishiyama, R.,
Pistillo, C., Scampoli, P., Schlunegger, F., and Vladymyrov, M.: Muon
tomography in geoscientific research – a guide to best practice,
Earth-Sci. Rev., 222, 103842,
https://doi.org/10.1016/j.earscirev.2021.103842, 2021a.
Lechmann, A., Mair, D., Ariga, A., Ariga, T., Ereditato, A., Nishiyama, R.,
Pistillo, C., Scampoli, P., Schlunegger, F., and Vladymyrov, M.: SMAUG – A
Simulator for Muon Applications Under Ground (Version 1.0), Zenodo [code and data set],
https://doi.org/10.5281/zenodo.5547356, 2021b.
Lelièvre, P. G., Barnoud, A., Niess, V., Cârloganu, C., Cayol, V.,
and Farquharson, C. G.: Joint inversion methods with relative density offset
correction for muon tomography and gravity data, with application to volcano
imaging, Geophys. J. Int., 218, 1685–1701,
https://doi.org/10.1093/gji/ggz251, 2019.
Lesparre, N., Gibert, D., Marteau, J., Déclais, Y., Carbone, D., and
Galichet, E.: Geophysical muon imaging: feasibility and limits, Geophys. J.
Int., 183, 1348–1361, https://doi.org/10.1111/j.1365-246X.2010.04790.x,
2010.
Lesparre, N., Gibert, D., and Marteau, J.: Bayesian dual inversion of
experimental telescope acceptance and integrated flux for geophysical muon
tomography, Geophys. J. Int., 188, 490–497,
https://doi.org/10.1111/j.1365-246X.2011.05268.x, 2012.
Lesparre, N., Cabrera, J., and Marteau, J.: 3-D density imaging with muon
flux measurements from underground galleries, Geophys. J. Int., 208,
1579–1591, https://doi.org/10.1093/gji/ggw482, 2017.
Lohmann, W., Kopp, R., and Voss, R.: Energy Loss of Muons in the Energy
Range 1–10000 GeV, CERN, Geneva, https://doi.org/10.5170/CERN-1985-003, 1985.
Lo Presti, D., Gallo, G., Bonanno, D. L., Bonanno, G., Bongiovanni, D. G.,
Carbone, D., Ferlito, C., Immè, J., La Rocca, P., Longhitano, F.,
Messina, A., Reito, S., Riggi, F., Russo, G., and Zuccarello, L.: The MEV
project: Design and testing of a new high-resolution telescope for muography
of Etna Volcano, Nucl. Instrum. Methods Phys. Res. Sect. Accel.
Spectrometers Detect. Assoc. Equip., 904, 195–201,
https://doi.org/10.1016/j.nima.2018.07.048, 2018.
Mair, D., Lechmann, A., Herwegh, M., Nibourel, L., and Schlunegger, F.: Linking Alpine deformation in the Aar Massif basement and its cover units – the case of the Jungfrau–Eiger mountains (Central Alps, Switzerland), Solid Earth, 9, 1099–1122, https://doi.org/10.5194/se-9-1099-2018, 2018.
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and
Teller, E.: Equation of State Calculations by Fast Computing Machines, J.
Chem. Phys., 21, 1087–1092, https://doi.org/10.1063/1.1699114, 1953.
Morishima, K., Kuno, M., Nishio, A., Kitagawa, N., Manabe, Y., Moto, M.,
Takasaki, F., Fujii, H., Satoh, K., Kodama, H., Hayashi, K., Odaka, S.,
Procureur, S., Attié, D., Bouteille, S., Calvet, D., Filosa, C.,
Magnier, P., Mandjavidze, I., Riallot, M., Marini, B., Gable, P., Date, Y.,
Sugiura, M., Elshayeb, Y., Elnady, T., Ezzy, M., Guerriero, E., Steiger, V.,
Serikoff, N., Mouret, J.-B., Charlès, B., Helal, H., and Tayoubi, M.:
Discovery of a big void in Khufu's Pyramid by observation of cosmic-ray
muons, Nature, 552, 386–390, https://doi.org/10.1038/nature24647, 2017.
Niess, V., Barnoud, A., Cârloganu, C., and Le Ménédeu, E.:
Backward Monte-Carlo applied to muon transport, Comput. Phys. Commun., 229, 54–67,
https://doi.org/10.1016/j.cpc.2018.04.001, 2018.
Nishiyama, R., Tanaka, Y., Okubo, S., Oshima, H., Tanaka, H. K. M., and
Maekawa, T.: Integrated processing of muon radiography and gravity anomaly
data toward the realization of high-resolution 3-D density structural
analysis of volcanoes: Case study of Showa-Shinzan lava dome, Usu, Japan, J.
Geophys. Res.-Sol. Ea., 119, 699–710,
https://doi.org/10.1002/2013JB010234, 2014.
Nishiyama, R., Ariga, A., Ariga, T., Käser, S., Lechmann, A., Mair, D.,
Scampoli, P., Vladymyrov, M., Ereditato, A., and Schlunegger, F.: First
measurement of ice-bedrock interface of alpine glaciers by cosmic muon
radiography, Geophys. Res. Lett., 44, 6244–6251,
https://doi.org/10.1002/2017GL073599, 2017.
Nishiyama, R., Ariga, A., Ariga, T., Lechmann, A., Mair, D., Pistillo, C.,
Scampoli, P., Valla, P. G., Vladymyrov, M., Ereditato, A., and Schlunegger,
F.: Bedrock sculpting under an active alpine glacier revealed from
cosmic-ray muon radiography, Sci. Rep., 9, 6970,
https://doi.org/10.1038/s41598-019-43527-6, 2019.
Noli, P., Ambrosino, F., Bonechi, L., Bross, A., Cimmino, L., D'Alessandro,
R., Masone, V., Mori, N., Passeggio, G., Pla-Dalmau, A., Saracino, G.,
Scarlini, E., and Strolin, P.: Muography of the Puy de Dôme, Ann.
Geophys., 60, S0105, https://doi.org/10.4401/ag-7380, 2017.
Oláh, L., Barnaföldi, G. G., Hamar, G., Melegh, H. G., Surányi,
G., and Varga, D.: Cosmic Muon Detection for Geophysical Applications,
Adv. High Energy Phys., 560192, https://doi.org/10.1155/2013/560192, 2013.
Oláh, L., Tanaka, H. K. M., Ohminato, T., and Varga, D.: High-definition
and low-noise muography of the Sakurajima volcano with gaseous tracking
detectors, Sci. Rep., 8, 3207, https://doi.org/10.1038/s41598-018-21423-9,
2018.
Reyna, D.: A Simple Parameterization of the Cosmic-Ray Muon Momentum Spectra
at the Surface as a Function of Zenith Angle, arXiv [preprint], arXiv:hep-ph/0604145, 1 June 2006.
Rosas-Carbajal, M., Jourde, K., Marteau, J., Deroussi, S., Komorowski,
J.-C., and Gibert, D.: Three-dimensional density structure of La Soufrière de Guadeloupe lava dome from simultaneous muon radiographies and garvity data, Geophys. Res.
Lett., 44, 6743–6751, https://doi.org/10.1002/2017GL074285, 2017.
Saracino, G., Amato, L., Ambrosino, F., Antonucci, G., Bonechi, L., Cimmino,
L., Consiglio, L., D'Alessandro, R., Luzio, E. D., Minin, G., Noli, P.,
Scognamiglio, L., Strolin, P., and Varriale, A.: Imaging of underground
cavities with cosmic-ray muons from observations at Mt. Echia (Naples), Sci.
Rep., 7, 1181, https://doi.org/10.1038/s41598-017-01277-3, 2017.
Stoer, J. and Burlisch, R.: Introduction to Numerical Analysis, 3rd edn., Springer, New York, ISBN 978-0-387-95452-3, https://doi.org/10.1007/978-0-387-21738-3, 2002.
Takahasi, H. and Mori, M.: Double Exponential Formulas for Numerical
Integration, Publ. Res. Inst. Math. Sci., 9, 721–741,
https://doi.org/10.2977/prims/1195192451, 1974.
Takamatsu, K., Takegami, H., Ito, C., Suzuki, K., Ohnuma, H., Hino, R., and
Okumura, T.: Cosmic-ray muon radiography for reactor core observation, Ann.
Nucl. Energy, 78, 166–175, https://doi.org/10.1016/j.anucene.2014.12.017,
2015.
Tanabashi, M., Hagiwara, K., Hikasa, K., et al.: (Particle Data Group): Review of Particle Physics,
Phys. Rev. D, 98, 030001, https://doi.org/10.1103/PhysRevD.98.030001, 2018.
Tanaka, H. K. M.: Instant snapshot of the internal structure of Unzen lava
dome, Japan with airborne muography, Sci. Rep., 6, 39741,
https://doi.org/10.1038/srep39741, 2016.
Tang, A., Horton-Smith, G., Kudryavtsev, V. A., and Tonazzo, A.: Muon
Simulations for Super-Kamiokande, KamLAND and CHOOZ, Phys. Rev. D, 74,
053007, https://doi.org/10.1103/PhysRevD.74.053007, 2006.
Tarantola, A.: Inverse Problem Theory and Methods for Model Parameter Estimation, 1st edn., Other Titles in Applied Mathematics, Siam, Philadelphia ISBN 9780898715729, https://doi.org/10.1137/1.9780898717921, 2005.
Thompson, L. F., Stowell, J. P., Fargher, S. J., Steer, C. A., Loughney, K.
L., O'Sullivan, E. M., Gluyas, J. G., Blaney, S. W., and Pidcock, R. J.:
Muon tomography for railway tunnel imaging, Phys. Rev. Res., 2, 023017,
https://doi.org/10.1103/PhysRevResearch.2.023017, 2020.
Tioukov, V., Lellis, G. D., Strolin, P., Consiglio, L., Sheshukov, A.,
Orazi, M., Peluso, R., Bozza, C., Sio, C. D., Stellacci, S. M., Sirignano,
C., D'Ambrosio, N., Miyamoto, S., Nishiyama, R., and Tanaka, H. K. M.:
Muography with nuclear emulsions – Stromboli and other projects, Ann.
Geophys., 60, S0111, https://doi.org/10.4401/ag-7386, 2017.
Vermeesch, P.: On the visualisation of detrital age distributions, Chemical
Geology, 312–313, 190–194, https://doi.org/10.1016/j.chemgeo.2012.04.021,
2012.
Short summary
Muon tomography is a technology that is used often in geoscientific research. The know-how of data analysis is, however, still possessed by physicists who developed this technology. This article aims at providing geoscientists with the necessary tools to perform their own analyses. We hope that a lower threshold to enter the field of muon tomography will allow more geoscientists to engage with muon tomography. SMAUG is set up in a modular way to allow for its own modules to work in between.
Muon tomography is a technology that is used often in geoscientific research. The know-how of...
