Preprints
There are 5987 Preprints listed.
Active Learning with Deep Autoencoders for Seismic Facies Interpretation
Published: 2023-04-26
Subjects: Geophysics and Seismology
Machine learning-assisted seismic interpretation tasks require large quantities of labeled data annotated by expert interpreters, which is a costly and time-consuming process. Where existing works to minimize dependence on labeled data assume the data annotation process to already be completed, active learning---a field of machine learning---works by selecting the most important training samples [...]
Earth tides can reactivate shallow faults and trigger seabed methane emissions
Published: 2023-04-26
Subjects: Earth Sciences
The role of solid Earth tide in fault reactivation has significant implications for understanding earthquake triggering, carbon sequestration, and the global carbon budget. Despite extensive research on this topic over the years, the relationship between Earth tide and fault reactivation remains unclear. In this study, we investigate the potential influence of solid Earth tide on the reactivation [...]
Making Planets on Earth: How Experimental Petrology Is Essential to Planetary Exploration
Published: 2023-04-26
Subjects: Planetary Geochemistry, Planetary Sciences
Our knowledge of the evolution of the solar system relies upon our ability to interpret a limited set of observations, including geochemical data from returned samples and meteorites, remotely sensed data from spacecraft and telescopes, and information measured in situ via landers and rovers. Our ability to obtain these data is constantly improving in quality and quantity, but the understanding [...]
A comparative study of transfer learning methodologies and causality for seismic inversion with temporal convolutional networks
Published: 2023-04-25
Subjects: Geophysics and Seismology
Machine learning-based seismic inversion methods suffer from high labeled data requirement in the absence of which they may fail to generalize. Recent data-driven inversion methodologies based on temporal convolutional networks use 2-D sequence models and transfer learning to unburden the algorithm from high training data requirements. Such methods are restricted in that they only model seismic [...]
Workshop report: Modelling volatile behaviour in magmas
Published: 2023-04-23
Subjects: Physical Sciences and Mathematics
Volatiles are a critical component of magmas, driving volcanic eruptions, creating and modifying planetary atmospheres, and generating ore deposits. There has been an immense amount of work quantifying the solubility of individual volatile species in a wide variety of magma compositions and the creation of various modelling capabilities to look at magmatic degassing. This workshop aimed to [...]
CDR modeled in MAGICC to return to preindustrial temperatures by 2100
Published: 2023-04-23
Subjects: Physical Sciences and Mathematics
Scenario pathways greatly inform the opportunity space of possible future climates. The multistep experiment tests the Alternative Method to Determine a Carbon Dioxide Removal Target’s thesis by simulating the novel pathway '300x2050,' SSP1-2.6, and SSP1-1.9 comparing within green growth development in MAGICC 6.8 by removing all cumulative anthropogenic CO₂ over 80 years and phasing out [...]
In-situ frictional behavior of subducting sediment in the shallow Nankai Trough
Published: 2023-04-22
Subjects: Geology, Geophysics and Seismology, Sedimentology, Tectonics and Structure
The transition from smectite to illite at around the depth with temperature of ~150 °C has long been hypothesized as one of controlling factors of the updip limit depth of the seismogenic zone of subduction zones. Although illite has a higher friction coefficient than smectite, previous friction experiments have little reported that the smectite-illite transition accompanies the transition from [...]
The Dynamics of the India-Eurasia Collision: Faulted Viscous Continuum Models Constrained by High-Resolution Sentinel-1 InSAR and GNSS Velocities
Published: 2023-04-22
Subjects: Earth Sciences
The dynamics of lithospheric deformation in the India-Eurasia collision zone has been debated over many decades. Here we test a two-dimensional (2-D) Thin Viscous Shell (TVS) approach that has been adapted to explicitly account for displacement on major faults and investigate the impact of lateral variations in depth-averaged lithospheric strength. We present a suite of dynamic models to explain [...]
From strain to displacement: using deformation to enhance distributed acoustic sensing applications
Published: 2023-04-21
Subjects: Physical Sciences and Mathematics
Over a period of less than a decade, Distributed Acoustic Sensing (DAS) has become a well-established technology in seismology. For historical and practical reasons, DAS manufacturers usually provide instruments that natively record strain (rate) as the principal measurement. While at first glance strain recordings seem related to ground motion waveforms (displacement, velocity, acceleration), [...]
Assessing the potential of low transmissivity aquifers for ATES systems: a case study in Flanders (Belgium)
Published: 2023-04-21
Subjects: Geology, Sustainability, Water Resource Management
The Member States of the European Union pledged to reduce greenhouse gas emissions by 80-95% by 2050. Shallow geothermal systems might substantially contribute by providing heating and cooling in a sustainable way through seasonally storing heat and cold in the shallow ground (<200m). When the minimum yield to install a cost-effective aquifer thermal energy storage (ATES) system cannot be met, [...]
Global multi-hazard risk assessment in a changing climate
Published: 2023-04-20
Subjects: Applied Statistics, Climate, Numerical Analysis and Scientific Computing, Risk Analysis
Natural hazards pose significant risks to people and assets in many regions of the world. Quantifying associated risks is crucial for many applications such as adaptation option appraisal and insurance pricing. However, traditional risk assessment approaches have focused on the impacts of single hazards, ignoring the effects of multi-hazard risks and potentially leading to underestimations or [...]
On Constructing Limits-of-Acceptability in Watershed Hydrology using Decision Trees
Published: 2023-04-20
Subjects: Physical Sciences and Mathematics
A hydrological model incurs three types of uncertainties: measurement, structural and parametric uncertainty. For instance, in rainfall-runoff models, measurement uncertainty exists due to errors in measurements of rainfall and streamflow data. Structural uncertainty exists due to errors in mathematical representation of hydrological processes. Parametric uncertainty is a consequence of our [...]
High-resolution geodetic strain rate field reveals dynamics of the India-Eurasia collision
Published: 2023-04-20
Subjects: Physical Sciences and Mathematics
Determining the distribution of seismic hazard in the continents requires an understanding of how much deformation is accommodated by major faults. Quantifying the role of major faults in continental deformation has been hampered by a lack of high-resolution observations in the deforming interiors of continents. By combining surface movement data derived from 22,000 satellite radar images with [...]
Analysis of factors influencing the efficiency of agricultural cold chain logistics enterprises based on intuitionistic Fuzzy-DEMATEL Method
Published: 2023-04-20
Subjects: Civil and Environmental Engineering
In recent years, the No. 1 document of the Chinese Party Central Committee has repeatedly mentioned the need to strengthen the agricultural logistics industry and the rapid and healthy development of the cold chain logistics industry, and it is urgent to establish and cultivate some agricultural cold chain logistics enterprises with market competitiveness. In this paper, by considering the green [...]
Aboveground biomass estimates from UAV LiDAR improved via contextual learning in a Norway spruce forest
Published: 2023-04-19
Subjects: Engineering, Life Sciences, Physical Sciences and Mathematics
Forest structure analysis and biomass prediction systems are key tools for advancingforest trait-based ecology and management. Surveys using Unmanned Aerial Vehicles(UAV) and Light Detection and Ranging (LiDAR) systems have contributedto this field with increased accuracy in tree phenotyping. Moreover, methods combiningUAV LiDAR surveying and machine learning (ML) have also emerged to [...]