Preprints
Filtering by Subject: Engineering
A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture
Published: 2022-11-06
Subjects: Engineering
A trustworthy assessment of soil moisture content plays a significant role in irrigation planning and in controlling various natural disasters such as floods, landslides, and droughts. Various Machine Learning Models (MLMs) have been used to increase the accuracy of soil moisture content prediction. The present investigation aims to apply MLMs with novel structures for the estimation of daily [...]
Dynamic Mode Decomposition for Analyzing Dynamics in Multi-phase Flow in Porous Media
Published: 2022-11-05
Subjects: Engineering, Physical Sciences and Mathematics
For multi-phase flow through multi-scale heterogeneous porous media, such as the pore space of rocks, the interaction between multiple immiscible fluids and an intricate network of pores, creates a wide range of dynamic flow phenomena. At larger scales i.e. scales relevant for practical applications such as carbon sequestration, this interplay of dynamic phenomena is often referred to as [...]
Carbon dioxide storage resource use trajectories consistent with US climate change mitigation scenarios
Published: 2022-11-03
Subjects: Engineering
To progress decarbonisation in the United States, numerous techno-economic models have been built projecting climate change mitigation scenarios that include CO2 storage deployment at annual injection rates of 0.3 – 1.7 Gt yr-1 by 2050. However, these projections do not include geological, technical, or socio-economic factors that could impede the growth of geological storage resource use. Here, [...]
Seasonal biodegradation of the artificial sweetener acesulfame enhances its use as a transient wastewater tracer
Published: 2022-10-22
Subjects: Engineering
The persistence of the artificial sweetener acesulfame potassium (ACE) in wastewater treatment and subsequently in the aquatic environment has made it a widely used marker of wastewater in both surface water and groundwater. However, the recently observed biodegradation of ACE during wastewater treatment has questioned the validity of this application. In this study, we assessed the use of ACE [...]
On spatially correlated observations in a particle method for subsidence estimation
Published: 2022-10-13
Subjects: Engineering, Physical Sciences and Mathematics
The particle method is an ensemble-based data assimilation method for state- and parameter estimation in a quasi-static problem. We apply the particle method in two different experiments with models of increasing complexity. The first model, which calculates subsidence for a single observation point due to a single source of strain, considers uncorrelated parameters and observations. In the [...]
Optimising Renewable Generation Configurations of Off-Grid Green Ammonia Production Systems considering Haber-Bosch Flexibility
Published: 2022-10-12
Subjects: Engineering
Green ammonia has received increasing interest for its potential as an energy carrier in the international trade of renewable power. This paper considers Australia’s prospects for green ammonia production from an exporter’s perspective by highlighting Australia’s competitive advantage in renewable resource quality and seasonal complementarity to its potential trade buyers. Although renewable [...]
A Global-Scale Characterization of Streamflow Extremes
Published: 2022-10-12
Subjects: Engineering
The increasing risk of floods across the globe needs focused attention because of the extensive damage to human lives and economy. A comprehensive understanding of its causative factors is of vital importance. Yet catchment characterization studies are generally limited to case studies or regional domains. A comprehensive global characterization is currently unavailable, which requires collecting [...]
Storage Integrity during Underground Hydrogen Storage in Depleted Gas Reservoirs
Published: 2022-10-12
Subjects: Engineering
The transition of energy from fossil fuels to renewable energy particularly hydrogen is becoming the centre of decarbonization and roadmap to achieve net-zero carbon emission. To meet the requirement of large-scale hydrogen storage as a key part of hydrogen supply chain, underground hydrogen storage can be the ultimate solution to economically store hydrogen thus meet global energy demand. [...]
A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting
Published: 2022-09-26
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering
The volume and variety of Earth data have increased as a result of growing attention to climate change and, subsequently, the availability of large-scale sensor networks and remote sensing instruments. This data has been an important resource for data-driven studies to generate practical knowledge and services, support environmental modeling and forecasting needs, and transform climate and earth [...]
TempNet – Temporal Super Resolution of Radar Rainfall Products with Residual CNNs
Published: 2022-09-22
Subjects: Civil and Environmental Engineering, Engineering
The temporal and spatial resolution of rainfall data is crucial for environmental modeling studies in which its variability in space and time is considered as a primary factor. Rainfall products from different remote sensing instruments (e.g., radar, satellite) have different space-time resolutions because of the differences in their sensing capabilities and post-processing methods. In this [...]
python-ags4: A Python library to read, write, and validate AGS4 geodata files
Published: 2022-09-21
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Geochemistry, Geology, Geophysics and Seismology, Geotechnical Engineering
Data gathered from geotechnical, geoenvironmental, and geophysical investigations can be broadly described as "geodata". The AGS4 data format is one of the most widely used data transmittal formats for geodata and is used across the world. It is a plain text format consisting of multiple tables of comma-separated values, tied together with a robust data schema and a comprehensive suite of [...]
A Reproducible and Reusable Pipeline for Segmentation of Geoscientific Imagery
Published: 2022-09-07
Subjects: Education, Engineering, Life Sciences, Physical Sciences and Mathematics
Segmentation of Earth science imagery is an increasingly common task. Among modern techniques that use Deep Learning, the UNet architecture has been shown to be a reliable for segmenting a range of imagery. We developed software - Segmentation Gym - to implement a data-model pipeline for segmentation of scientific imagery using a family of UNet models. With an existing set of imagery and labels, [...]
Isotopically labeled ozone: a new approach to elucidate the formation of ozonation products
Published: 2022-09-06
Subjects: Chemical Engineering, Chemistry, Engineering, Environmental Sciences
As ozonation becomes a widespread treatment for removal of chemicals of emerging concern in wastewater treatment plant effluents, there are increasing concerns regarding the formation of ozonation products (OPs), and their possible impacts on the aquatic environment and eventually human health. In this study, a novel method was developed that utilizes heavy oxygen (18O2) for the production of [...]
Subglacial hydrology modeling predicts high winter water pressure and spatially variable transmissivity at Helheim Glacier, Greenland
Published: 2022-08-26
Subjects: Engineering, Physical Sciences and Mathematics
Sliding velocity of glaciers is influenced by water pressure at the bed. Subglacial hydrology models are helpful for gaining insight into basal conditions, but models depend on several unconstrained physical parameters, and reproducing elevated water pressures in winter has been a challenge. We eliminate terms in the SHAKTI model that rely on uncertain parameters and apply this model to Helheim [...]
Fusing physics-based and data-driven models to forecast and mitigate landslide collapse
Published: 2022-08-26
Subjects: Engineering, Physical Sciences and Mathematics
Deep-seated landslides represent one of the most devastating natural hazards on earth, typically creeping at inappreciable velocities over several years be- fore suddenly collapsing with catastrophic speeds. They can have detrimental consequences to society, causing fatalities and prone to affect transportation infrastructures. In this study, we validate that monitoring the basal temperature of a [...]