Preprints

Filtering by Subject: Engineering

A Web-based Analytical Urban Flood Damage and Loss Estimation Framework

Yazeed Alabbad, Enes Yildirim, Ibrahim Demir

Published: 2022-12-04
Subjects: Civil and Environmental Engineering, Civil Engineering, Engineering, Risk Analysis, Systems and Communications

Information and communication technology serves a crucial role in communicating flood risk and consequences to a broad range of stakeholders and facilitating mitigation decisions. While studies extensively utilize flood inundation maps for communicating flood risks, there is a need to integrate a broad spectrum of physical vulnerability parameters into risk estimates at various spatial scales. [...]

Benchmarking a two-way coupled coastal wave-current hydrodynamics model

Anastasia K. Fragkou, Christopher Old, Vengatesan Venugopal, et al.

Published: 2022-12-02
Subjects: Engineering

Wave-current interaction phenomena are often represented through coupled model frameworks in ocean modelling. However, the benchmarking of these models is scarce, revealing a substantial research challenge. We seek to address this through a selection of benchmark cases for coupled wave-current interaction modelling frameworks. This comprises a series of analytical and experimental test cases [...]

SWAT model-based quantification of the impact of land use change on sediment yield in the Fincha watershed, Ethiopia

Motuma Shiferaw Regasa, Michael Nones

Published: 2022-12-01
Subjects: Engineering, Physical Sciences and Mathematics

In recent years, Ethiopia is facing problems due to soil erosion, mainly because of the conversion of natural vegetation cover into cultivated land. Soil erosion is also affecting dam reservoirs, which are threatened by an increase in sediment yield entering the lake. The present study focuses on the Ethiopian Fincha watershed and takes advantage of the potentiality of SWAT, to investigate how [...]

Laboratory validation of a new hydro-mechanical energy-based brittleness index model for hydraulic fracturing

Runhua Feng, Joel Sarout, Jeremie Dautriat, et al.

Published: 2022-12-01
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Engineering Science and Materials, Mining Engineering, Oil, Gas, and Energy, Petroleum Engineering

Brittleness Index (BI) is a critical parameter characterising the deformation regime of geo-materials, covering the range from purely brittle (fractures) to ductile (plastic flow). A variety of BI models have been developed based on rock properties such as mineralogy, elastic parameters, or stress-strain data. However, very few of them are based on the deformation induced by hydro-mechanical [...]

A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture

Francesco Granata, Fabio Di Nunno, Mohammad Najafzadeh, et al.

Published: 2022-11-21
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 [...]

The future of coastal monitoring through satellite remote sensing

Sean Vitousek, Daniel David Buscombe, Kilian Vos, et al.

Published: 2022-11-15
Subjects: Engineering, Physical Sciences and Mathematics

Satellite remote sensing is transforming coastal science from a ‘data-poor’ field into a ‘data-rich’ field. Sandy beaches are dynamic landscapes that change in response to long-term pressures, short-term pulses, and anthropogenic interventions. Until recently, the rate and breadth of beach change has outpaced our ability to monitor those changes, due to the spatiotemporal limitations of our [...]

Evaluating the performance of ground motion models for an intraplate earthquake using Bayesian inference and chimney fragility curves: 2021 Mw 5.9 Woods Point earthquake, Victoria, Australia

James La Greca, Mark Quigley, Jaroslav Vaculik, et al.

Published: 2022-11-15
Subjects: Earth Sciences, Engineering, Physical Sciences and Mathematics, Probability, Statistics and Probability

The 22 September 2021 (AEST) MW 5.9 Woods Point earthquake occurred in an intraplate setting (Victoria, southeastern Australia) approximately 130 km ENE of the central business district of Melbourne (pop. ~5.15 million). A lack of seismic instrumentation and low population density in the epicentral region resulted in a dearth of near-source instrumental and “felt” report intensity data. To [...]

Gaia: Complex Systems Prediction for Time to Adapt to Climate Shocks

Allen G. Hunt, Muhammad Sahimi, Boris Faybishenko, et al.

Published: 2022-11-08
Subjects: Engineering, Life Sciences, Physical Sciences and Mathematics

A proposal, called “Gaia”, that life regulates Earth’s climate to its advantage, is partially supported by Earth’s climate history, wherein temperature fluctuations over the past ca. half billion years have mostly been small enough to protect life from extremes of climatic fluctuations, while global temperatures overall cooled during the 3.8 Ga when life was present, in spite of increased solar [...]

CO2 transport and storage feasibility and cost study for ASEAN

Yunyue Elita Li, Xiangnan Wang, Jingchen Jiao, et al.

Published: 2022-11-08
Subjects: Engineering, Physical Sciences and Mathematics

Carbon Capture and Storage (CCS) technology is expected to a play a significant role in reducing CO2 emissions globally. The first steps for successful deployment include identifying CO2 storage potential, determining CO2 injection rates, evaluating of CO2 transport options, estimating associated costs, and facilitating policy and regulatory frameworks. To evaluate the CCS feasibility in [...]

A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture

Francesco Granata, Fabio Di Nunno, Mohammad Najafzadeh, et al.

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

Catherine Spurin, Steffen Berg, Ryan Armstrong, et al.

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 [...]

CO2 storage resource use trajectories consistent with US climate change mitigation scenarios

Yuting Zhang, Christopher Aiden-Lee Jackson, Nihal Darraj, et al.

Published: 2022-11-03
Subjects: Engineering

To help decarbonisation the United States, numerous techno-economic models have projected scenarios including CO2 storage deployment at annual injection rates of 0.3 – 1.1 Gt yr-1 by 2050. However, these projections do not often include the availability of geological storage resource base and socio-economic factors that could limit the technological growth of CCS. Here, we apply a logistic [...]

Seasonal biodegradation of the artificial sweetener acesulfame enhances its use as a transient wastewater tracer

Miguel Angel Marazuela, Giovanni Formentin, Klaus Erlmeier, et al.

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

Samantha S.R. Kim, Femke C. Vossepoel

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

changlong wang, Stuart Duncan Christopher Walsh, Thomas Longden, et al.

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 [...]

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