Preprints

There are 4725 Preprints listed.

Seismological Expression of the Iron Spin Crossover in Ferropericlase in the Earth’s Lower Mantle

Grace Shephard, Christine Houser, John Hernlund, et al.

Published: 2020-06-29
Subjects: Earth Sciences, Geochemistry, Geophysics and Seismology, Mineral Physics, Physical Sciences and Mathematics, Physics, Quantum Physics, Tectonics and Structure

The two most abundant minerals on Earth which together make up over 90% of the Earth’s lower mantle are (Mg,Fe)O-ferropericlase (Fp) and (Mg,Fe)SiO3-bridgmanite (Bm). Iron in Fp undergoes a high-spin to low-spin (HS-LS) crossover that influences density, viscosity, elasticity, thermal conductivity, and elemental partitioning, however, the predicted effects of this transition are not apparent in [...]

Modelling massive AIS streams with quad trees and Gaussian Mixtures

Anita Graser, Peter Widhalm

Published: 2020-06-29
Subjects: Computer Sciences, Other Computer Sciences, Physical Sciences and Mathematics

Pressing issues related to the movement of people and goods can be tackled today thanks to improvements in tracking and communications technology that have made it possible to collect movement data on a big scale. Maritime data from the Automatic Identification System (AIS) is one of the fast growing sources of movement data. Existing approaches for AIS data [...]

Fully Automated Carbonate Petrography Using Deep Convolutional Neural Networks

Ardiansyah Koeshidayatullah, Michele Morsilli, Daniel J. Lehrmann, et al.

Published: 2020-06-22
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Geology, Paleobiology, Paleontology, Physical Sciences and Mathematics, Sedimentology

Carbonate rocks are important archives of past ocean conditions as well as hosts of economic resources such as hydrocarbons, water, and minerals. Geologists typically perform compositional analysis of grain, matrix, cement and pore types in order to interpret depositional environments, diagenetic modification, and reservoir quality of carbonate strata. Such information can be obtained primarily [...]

Rates of olivine grain growth during dynamic recrystallization and post-deformation annealing

Pamela Speciale, Whitney M. Behr, Greg Hirth, et al.

Published: 2020-06-22
Subjects: Earth Sciences, Geology, Mineral Physics, Physical Sciences and Mathematics, Tectonics and Structure

We performed deformation and grain growth experiments on natural olivine aggregates with moderate olivine water contents (COH = 600±300 ppm H/Si) at 1000-1200°C and a confining pressure of 1400±100 MPa. Our experiments differ from published grain growth studies in that most were: 1) conducted on natural olivine cores rather than hot-pressed aggregates, and 2) dynamically recrystallized prior to [...]

An Ethical Decision-Making Framework with Serious Gaming: Smart Water Case Study on Flooding

Gregory James Ewing, Ibrahim Demir

Published: 2020-06-22
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Civil Engineering, Computer Sciences, Databases and Information Systems, Engineering, Engineering Education, Environmental Engineering, Hydraulic Engineering, Physical Sciences and Mathematics, Theory and Algorithms

Sensors and control technologies are being deployed extensively in both urban water networks and rural river systems, leading to unprecedented ability to sense and control our water environment. Because these sensor networks and control systems allow for higher resolution monitoring and decision making in both time and space, greater discretization of control will allow for an unprecedented [...]

Geological Facies Modeling Based on Progressive Growing of Generative Adversarial Networks (GANs)

Suihong Song, Tapan Mukerji, Jiagen Hou

Published: 2020-06-21
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Geology, Geophysics and Seismology, Hydrology, Physical Sciences and Mathematics, Sedimentology, Stratigraphy

Geological facies modeling has long been studied to predict subsurface resources. In recent years, generative adversarial networks (GANs) have been used as a new method for geological facies modeling with surprisingly good results. However, in conventional GANs, all layers are trained concurrently, and the scales of the geological features are not considered. In this study, we propose to train [...]

A Review of Satellite Remote Sensing Techniques of River Delta Morphology Change

Dinuke Munasinghe, Sagy Cohen, Krishna Gadiraju

Published: 2020-06-21
Subjects: Earth Sciences, Environmental Monitoring, Environmental Sciences, Geomorphology, Physical Sciences and Mathematics

River deltas are important coastal depositional systems that are home to almost half a billion people worldwide. Understanding morphology changes in deltas is important in identifying vulnerabilities to natural disasters and improving sustainable planning and management. Satellite remote sensing has shown to be a useful technology for analyzing these morphology changes owing largely to its [...]

Excessive seismicity over a limited source: the August 2019 earthquake swarm near Mt. Salak in West Java (Indonesia)

Dimas Sianipar, Renhard Sipayung, Emi Ulfiana

Published: 2020-06-21
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

The triggering mechanism of swarm-like seismicity in the Java Island of Indonesia is generally not well understood. Understanding earthquake swarm phenomena and monitoring in various tectonic settings can be improved by the detection of micro-earthquakes; however, such a catalog is not available due to various reasons including the existing limited seismic network and using an outdated algorithm [...]

Terrestrial evaporation and global climate: lessons from Northland, a planet with a hemispheric continent

Marysa M. Lague, Marianne Pietschnig, Sarah Ragen, et al.

Published: 2020-06-21
Subjects: Climate, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

From a climate perspective, land differs from the ocean in several fundamental physical ways, including albedo, heat capacity, amount of water storage, and differences in resistance to evaporation. These differences alter the surface energy and water budgets over land compared to ocean, with implications for both surface climate and atmospheric circulation. In this study, we use an idealized [...]

Ancient siderites reveal hot and humid super-greenhouse climate

Joep van Dijk, Alvaro Bremer Fernandez, Stefano M Bernasconi, et al.

Published: 2020-06-19
Subjects: Earth Sciences, Geochemistry, Physical Sciences and Mathematics

Ancient siderites reveal hot and humid super-greenhouse climate

Potential environmental hazard due to tailings dam failure in Minnesota iron range and safety concern of the Dams in the US

Clara Lee, Fei Liu

Published: 2020-06-19
Subjects: Earth Sciences, Environmental Sciences, Hydrology, Physical Sciences and Mathematics, Water Resource Management

An ongoing debate centered around mining operations and tailings dam usage near the Minnesota mining range led to an investigation of potential environmental hazards near the cities of Hoyt Lakes and Embarrass. Topographic data from Satellite observations made available by USGS and HEC-RAS developed by US Engineer Corp are used to simulate the extent of mud flow from a hypothetical tailings dam [...]

Tropical cyclone response to anthropogenic warming as simulated by a mesoscale-resolving global coupled earth system model

Axel Timmermann, Jung-Eun Chu, Sun-Seon Lee, et al.

Published: 2020-06-19
Subjects: Atmospheric Sciences, Climate, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Tropical cyclones (TCs) are extreme storm systems that form over warm tropical oceans. Along their track TCs can mix up cold water which can further impact their development. Due to the adoption of lower ocean model resolutions, previous modeling studies on the TC response to greenhouse warming underestimate such oceanic feedbacks. To address the robustness of TC projections in the presence of [...]

Nonlinear stochastic dissipation in turbulent geophysical flows

Jean-Michel Brankart

Published: 2020-06-19
Subjects: Earth Sciences, Fluid Dynamics, Physical Sciences and Mathematics, Physics

The purpose of this study is to further investigate the assumption that geophysical flows can be described and simulated by direct sampling from a dynamically constrained probability distribution, with a reversible formulation of dissipation. This is done by making the probability of the flow decrease with the deviation of entropy with respect to local equilibrium, and by assuming that this [...]

Sampling geophysical flows from a dynamically constrained probability distribution

Jean-Michel Brankart

Published: 2020-06-19
Subjects: Earth Sciences, Fluid Dynamics, Physical Sciences and Mathematics, Physics

The purpose of this study is to further investigate the problem of explicitly simulating uncertainties in geophysical models. Rather than introducing stochastic processes in forward-in-time partial differential equations, this is done here by reformulating the dynamical equations governing the time evolution of the flow as a probability distribution. Flows can then be drawn directly from the [...]

A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources

Muhammed Sit, Bekir Zahit Demiray, Zhongrun Xiang, et al.

Published: 2020-06-19
Subjects: Civil and Environmental Engineering, Computer Engineering, Engineering, Environmental Engineering

The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety, and velocity of water-related data are increasing due to large-scale sensor networks and increased attention to topics such as disaster response, water resources management, and climate change. Combined with the growing availability of computational resources and popularity of deep learning, these [...]

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