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Preprints

There are 7992 Preprints listed.

Evolution of a mixed siliciclastic-carbonate deep-marine system on an unstable margin: the Cretaceous of the Eastern Greater Caucasus, Azerbaijan

Zoe Adele Cumberpatch, Euan Soutter, Ian Kane, et al.

Published: 2020-02-20
Subjects: Earth Sciences, Geology, Physical Sciences and Mathematics

Mixed siliciclastic-carbonate deep-marine systems (mixed systems) are less documented in the geological record than pure siliciclastic systems. The similarities and differences between these systems are therefore poorly understood. A well-exposed Late Cretaceous mixed system on the northern side of the Eastern Greater Caucasus (EGC), Azerbaijan, provides an opportunity to study the interaction [...]

Did sea-level change cause the switch from fissure-type to central-type volcanism at Mount Etna, Sicily?

Iain Simpson Stewart

Published: 2020-02-12
Subjects: Earth Sciences, Physical Sciences and Mathematics, Volcanology

One of the most intriguing aspects of the evolution of Mount Etna (eastern Sicily) is the switch from a fissure-type shield volcano coincident with the Ionian coast to an inland cluster of nested stratovolcanoes close to the currently active centre. Previous geological studies infer that the switch reflects a tectonically-driven rearrangement of the major border faults that direct the Etnean [...]

What Role Does Hydrological Science Play in the Age of Machine Learning?

Grey Stephen Nearing, Frederik Kratzert, Alden Keefe Sampson, et al.

Published: 2020-02-21
Subjects: Earth Sciences, Hydrology, Physical Sciences and Mathematics

We suggest that there is a potential danger to the hydrological sciences community in not recognizing how transformative machine learning will be for the future of hydrological modeling. Given the recent success of machine learning applied to modeling problems, it is unclear what the role of hydrological theory might be in the future. We suggest that a central challenge in hydrology right now [...]

New composite bio- and isotope stratigraphies spanning the Middle Eocene Climatic Optimum at tropical ODP Site 865 in the Pacific Ocean

Kirsty Edgar, Steven Bohaty, Helen Coxall, et al.

Published: 2020-02-20
Subjects: Earth Sciences, Geology, Paleontology, Physical Sciences and Mathematics, Stratigraphy

The Middle Eocene Climatic Optimum (MECO) at ca. 40 Ma is one of the largest of the transient Eocene global warming events. However, it is relatively poorly known from tropical settings as few sites span the entirety of the MECO event and/or host calcareous microfossils, which are the dominant proxy carrier. Ocean Drilling Program (ODP) Pacific Ocean Site 865 in the low-latitude North Pacific [...]

Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States

Jacqueline Austermann, Christine Y Chen, Harriet Lau, et al.

Published: 2020-02-12
Subjects: Earth Sciences, Geology, Geophysics and Seismology, Physical Sciences and Mathematics

The deformation pattern of the paleoshorelines of extinct Lake Bonneville were among the first features to indicate that Earths interior responds viscoelastically to changes in surface loads (Gilbert, 1885). Here we revisit and extend this classic study of isostatic rebound with updated lake chronologies for Lake Bonneville and Lake Lahontan as well as revised elevation datasets of shoreline [...]

Large-scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array

Karen H Lythgoe, Miranda Ong Su Qing, Shengji Wei

Published: 2020-02-20
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Geophysics has a role to play in the development of smart cities, for example through geohazard mitigation and subsurface imaging for underground construction. This is particularly true for Singapore, one of the worlds most densely populated countries. Imaging of Singapores subsurface is required to identify geological faults, model shaking from future earthquakes and provide a framework for [...]

Tracking Flooding Phase Transitions and Establishing a Passive Hotline with AI-Enabled Social Media Data

Ruo-Qian Wang, Yingjie Hu, Zikai Zhou, et al.

Published: 2020-02-21
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Environmental Monitoring, Environmental Sciences, Hydrology, Physical Sciences and Mathematics, Water Resource Management

Flooding management requires collecting real-time onsite information widely and rapidly. As an emerging data source, social media demonstrates an advantage of providing in-time, rich data in the format of texts and photos and can be used to improve flooding situation awareness. The present study shows that social media data, with additional information processed by Artificial Intelligence (AI) [...]

Chalcophile elements track the fate of sulfur at Kīlauea Volcano, Hawai’i

Penny E Wieser, Frances Jenner, Marie Edmonds, et al.

Published: 2020-02-08
Subjects: Earth Sciences, Geochemistry, Geology, Physical Sciences and Mathematics, Volcanology

Chalcophile element concentrations in melt inclusions and matrix glasses may be used to investigate low pressure degassing processes, as well as sulfide saturation during crustal fractionation, and mantle melting. Erupted products from Kīlauea Volcano, Hawaiʻi, record three stages of sulfide saturation (in the mantle, crust, and within lava lakes), separated by episodes of sulfide resorption [...]

Impact of topography on earthquake static slip inversions

Leah Langer, Théa Ragon, Anthony Sladen, et al.

Published: 2020-02-12
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Our understanding of earthquakes is limited by our knowledge, and our description, of the physics of the Earth. When solving for subsurface fault slip, it is common practice to assume minimum complexity for the Earths characteristics such as topography, fault geometry and elastic properties. These characteristics are difficult to include in simulations and our knowledge of them is incomplete, [...]

The 2019 MW 5.7 Changning earthquake, Sichuan Basin, China – a shallow doublet with different faulting styles

Junqing liu, Jiri Zahradnik

Published: 2020-02-12
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

The increased seismic activity of the last ~10 years in Changning county of Sichuan Province comprised just small (mostly ML < 5.0) injection-induced earthquakes. The MW 5.7 earthquake of June 17, 2019 is the largest event ever reported there. Moment tensor of the mainshock was remarkably dominated by a compensated linear vector dipole. We resolve its fine structure showing it was a doublet, [...]

Three-dimensional mineral dendrites reveal a non-classical crystallization pathway

Zhaoliang Hou, Dawid Woś, Cornelius Tschegg, et al.

Published: 2024-03-04
Subjects: Earth Sciences, Fluid Dynamics, Geochemistry, Mineral Physics, Physical Sciences and Mathematics, Physics

Manganese (Mn) dendrites are a common type of mineral dendrite that typically forms two-dimensional structures on rock surfaces. Three-dimensional (3D) Mn dendrites in rocks have rarely been reported, hence their growth implications have largely escaped attention. Here, we combine high-resolution X-ray and electron-based data with numerical modelling to give the first detailed description of [...]

History of on-board equipment improvement for GNSS-A observation with focus on observation frequency

Tadashi Ishikawa, Yusuke Yokota, Shun-ichi Watanabe, et al.

Published: 2020-02-12
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

The Global Navigation Satellite System-Acoustic ranging combination technique (GNSS-A) is a seafloor geodetic technique that enables precise global seafloor positioning to detect subseafloor geophysical phenomena. The technique requires a sea surface observation platform that combines GNSS positioning and acoustic ranging. Currently, a survey vessel is used as the platform, which entails [...]

Iron mineral dissolution releases iron and associated organic carbon during permafrost thaw

Monique Sezanne Patzner, Carsten W Mueller, Miroslava Malusova, et al.

Published: 2020-02-07
Subjects: Environmental Microbiology and Microbial Ecology Life Sciences, Environmental Sciences, Life Sciences, Microbiology, Physical Sciences and Mathematics

It has been shown that reactive soil minerals, specifically iron(III) (oxyhydr)oxides, can trap organic carbon in soils overlying intact permafrost, and may limit carbon mobilization and degradation as it is observed in other environments. However, the use of iron(III)-bearing minerals as terminal electron acceptors in permafrost environments and thus their stability and capacity to prevent [...]

Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches

Frank Male, Jerry L. Jensen, Larry W. Lake

Published: 2020-02-06
Subjects: Chemical Engineering, Earth Sciences, Engineering, Hydrology, Multivariate Analysis, Petroleum Engineering, Physical Sciences and Mathematics, Statistics and Probability

Permeability prediction has been an important problem since the time of Darcy. Most approaches to solve this problem have used either idealized physical models or empirical relations. In recent years, machine learning (ML) has led to more accurate and robust, but less interpretable empirical models. Using 211 core samples collected from 12 wells in the Garn Sandstone from the North Sea, this [...]

Machine learning for digital soil mapping: applications, challenges and suggested solutions

Alexandre M.J.-C. Wadoux, Budiman Minasny, Alex McBratney

Published: 2020-02-06
Subjects: Agriculture, Life Sciences, Other Life Sciences

The uptake of machine learning (ML) algorithms in digital soil mapping (DSM) is transforming the way soil scientists produce their maps. Machine learning is currently applied to mapping soil properties or classes much in the same way as other unrelated fields of science. Mapping of soil, however, has unique aspects which require adaptations of the ML algorithms. These features are for example, [...]

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