Preprints
Filtering by Subject: Computational Engineering
Technological Trends in The Field of Hydrology and Environmental Sciences: A Bibliometric Analysis
Published: 2024-06-01
Subjects: Civil Engineering, Computational Engineering, Education, Engineering, Environmental Engineering
The rapid advancement and widespread adoption of technology, particularly in web applications and artificial intelligence, have significantly impacted various sectors, including industry, social media, government, and research. This surge in technological utilization has played a pivotal role in the evolution of hydrogeological and environmental sciences, empowering researchers to harness [...]
Improving Urban Climate Adaptation Modelling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation
Published: 2024-04-03
Subjects: Atmospheric Sciences, Civil Engineering, Climate, Computational Engineering, Environmental Engineering, Environmental Sciences
Increasing the albedo of urban surfaces, through strategies like white roof installations, has emerged as a promising approach for urban climate adaptation. Yet, modelling these strategies on a large scale is limited by the use of static urban surface albedo representations in the Earth system models. In this study, we developed a new transient urban surface albedo scheme in the Community Earth [...]
Challenges of applying an embedded domain specific language for performance portability to Earth system models
Published: 2024-02-26
Subjects: Computational Engineering, Earth Sciences
Weather and climate modeling, reliant on substantial computational resources, faces challenges of escalating resource demands and energy consumption as problem sizes and model complexity increase. Leveraging Graphics Processing Units (GPUs) for accelerated simulations demands performance portability across diverse High Performance Computing (HPC) architectures. The concept of embedded Domain [...]
On the economic feasibility of tidal range power plants
Published: 2023-12-17
Subjects: Civil and Environmental Engineering, Computational Engineering, Engineering, Environmental Engineering, Hydraulic Engineering
The wave potential energy associated with tides presents a promising sustainable energy resource. Uncertainties on the economic case of tidal range power plants are a known bottleneck hindering the development of the industry. Significant costs depend on each design's general arrangement, which includes both mechanical components and the associated civil works. Research on tidal range structures [...]
Graphics Processing Unit Assisted Computation for a Gas-Phase Chemical Solver in a Regulatory Chemical Transport Model
Published: 2023-11-29
Subjects: Civil and Environmental Engineering, Computational Engineering
The Earth’s atmosphere is extremely complex due to the presence of several dynamic processes, such as dispersion, diffusion, deposition, and chemical reactions. There is a pressing need to improve the predictability of air quality models by integrating more of these scientific processes with an increasing number of chemical species into the mechanisms. These enhancements degrade the computational [...]
Physics-Informed Neural Networks Applied to Catastrophic Creeping Landslides
Published: 2023-02-13
Subjects: Computational Engineering, Geotechnical Engineering
In this study, a new paradigm compared to traditional numerical approaches to solve the partial differential equation (PDE) that governs the thermo-poro-mechanical behavior of the shear band of deep-seated landslides, is presented. In particular, we show projections of the temperature inside the shear band as a proxy to estimate catastrophic failure of deep-seated landslides. A deep neural [...]
GANSim-surrogate: An integrated framework for conditional geomodelling and uncertainty analysis
Published: 2022-10-24
Subjects: Computational Engineering, Earth Sciences, Environmental Engineering, Fluid Dynamics, Geology, Geophysics and Seismology, Hydrology, Sedimentology
We propose a deep-learning framework (GANSim-surrogate) for conditioning subsurface geomodel realizations to static data and dynamic flow data. The static data includes well facies data, interpreted facies probability maps, and non-spatial global features, while dynamic data can include well data such as pressures and flow rates. The framework consists of a Convolutional Neural Network (CNN) [...]
Client-side Web-based Model Coupling using Basic Model Interface for Hydrology and Water Resources
Published: 2022-10-06
Subjects: Civil and Environmental Engineering, Computational Engineering, Other Engineering
A recent trend in hydroinformatics has been the growing number of data, models, and cyber tools which are web accessible, each aiming to improve common research tasks in hydrology through web technologies. Coupling web-based models and tools holds great promise for an integrated environment that can facilitate community participation, collaboration, and scientific replication. There are many [...]
HydroLang Markup Language: Community-Driven Web Components for Hydrological Analyses
Published: 2022-08-26
Subjects: Civil and Environmental Engineering, Computational Engineering, Environmental Engineering, Science and Mathematics Education
We introduce HydroLang Markup Language (HL-ML), a programming interface that uses markup language to perform environmental analyses using the hydrological and environmental framework HydroLang. The software acts as a self-contained interface that uses HTML tags powered by the web components specification to generate simple hydrological computations that enable data analysis, visualization and [...]
Automated detection of microfossil fish teeth from slide images using combined deep learning models
Published: 2022-04-20
Subjects: Computational Engineering, Sedimentology
Microfossil fish teeth, known as ichthyoliths, provide a key constraint on the depositional age and environment of deep-sea sediments, especially pelagic clays where siliceous and calcareous microfossils are rarely observed. However, traditional methods for the observation of ichthyoliths require considerable time and manual labor, which can hinder their wider application. In this study, we [...]
LSTM with forget gates optimized by Optuna for lithofacies prediction
Published: 2022-03-15
Subjects: Computational Engineering
One of major technical competitions in energy industry relates to how optimally deep-learning architectures we can design. Optimization of hyperparameters is treated as labor-intensive. However, it is important to tune the parameters especially when we deal with relatively small targets, yet high-impact consequences can be resulted. In this study, we adapt Optuna, the global optimizer, for tuning [...]
GANSim-3D for conditional geomodelling: theory and field application
Published: 2021-12-23
Subjects: Artificial Intelligence and Robotics, Computational Engineering, Geology, Hydrology, Numerical Analysis and Scientific Computing, Oil, Gas, and Energy, Theory and Algorithms, Water Resource Management
Geomodelling of subsurface reservoirs is important for water resources, hydrocarbon exploitation, and Carbon Capture and Storage (CCS). Traditional geostatistics-based approaches cannot abstract complex geological patterns and are thus not able to simulate very realistic earth models. We present a Generative Adversarial Networks (GANs)-based 3D reservoir simulation framework, GANSim-3D, which can [...]
Adaptive Mesh Refinement Strategies for a Novel Modelof Immiscible Fluid Flow in Fractures
Published: 2021-12-14
Subjects: Civil and Environmental Engineering, Computational Engineering, Engineering
In this paper, we consider two Adaptive Mesh Refinement (AMR) methods to simulate flow through fractures using a novel multiphase model. The approach represents the fluid using a two-dimensional parallel-plate model that employs techniques adapted from lattice-Boltzmann simulations to track the fluid interface. Here, we discuss different mesh refinement strategies for the model and compare [...]
Optimizing nature-based solutions by combining social equity, hydro-environmental performance, and economic costs through a novel Gini coefficient
Published: 2021-11-16
Subjects: Civil and Environmental Engineering, Civil Engineering, Computational Engineering, Engineering, Environmental Studies, Geographic Information Sciences, Geography, Nature and Society Relations, Operations Research, Systems Engineering and Industrial Engineering, Physical and Environmental Geography, Social and Behavioral Sciences, Systems Engineering
A robust multi-functional framework for widespread planning of nature-based solutions (NBS) must incorporate components of social equity and hydro-environmental performance in a cost-effective manner. NBS systems address stormwater mitigation by increasing on-site infiltration and evaporation through enhanced greenspace while also improving various components of societal well-being, such as [...]
Evaluating Short-Term Spatio-Temporal Tropospheric Variability in Multi-Temporal SAR Interferograms Using LES Models
Published: 2021-07-14
Subjects: Aerospace Engineering, Atmospheric Sciences, Computational Engineering, Earth Sciences, Fluid Dynamics, Longitudinal Data Analysis and Time Series, Meteorology, Multivariate Analysis, Signal Processing
Atmospheric delay has a significant impact on synthetic aperture radar (SAR) interferometry, inducing spatial phase errors and decorrelation in extreme weather condition. For Low Earth Orbit (LEO) SAR missions, the atmosphere can be considered as being spatio-temporally frozen due to the short integration time. Geosynchronous (GEO) SAR missions, however, have short revisit times and extensive [...]