Preprints

Filtering by Subject: Engineering

A Regional Semi-Distributed Streamflow Model Using Deep Learning

Zhongrun Xiang, Ibrahim Demir, Ricardo Mantilla, et al.

Published: 2021-03-08
Subjects: Civil and Environmental Engineering, Engineering, Environmental Studies, Hydrology

Recent studies have shown that deep learning models in hydrological applications significantly improved streamflow predictions at multiple stations compared to traditional machine learning approaches. However, most studies lack generalization; i.e. researchers are training separate models for each location. The spatial and temporal generalization ability of deep learning models in hydrology that [...]

Strike-slip overprinting of initial co-axial shortening within the toe region of a submarine landslide: a case study from the Angoche Basin, offshore Mozambique.

Clara Abu, Christopher Aiden-Lee Jackson, Malcolm Francis

Published: 2021-03-01
Subjects: Engineering

Submarine landslides (slides) are some of the most voluminous sediment gravity-flows on Earth and they dominate the stratigraphic record of many subaqueous basins. The general kinematics and internal structure of slides are relatively well-understood, although the way in which they increase in volume and internally deformed as they evolve, and how these processes relate to the development of [...]

ROLE OF LITHIUM MINING ON THE WATER STRESS OF THE SALAR DE ATACAMA BASIN

JUAN IGNACIO GUZMAN, Patricio Faúndez, José Joaquín Jara, et al.

Published: 2021-02-25
Subjects: Engineering

Brines located in the Salar de Atacama are a significant source of lithium worldwide. The extractive method for these minerals is through brine pumping, with subsequent solar evaporation in ponds. In this latter process, part of the water present in brine is evaporated to the atmosphere, leading to the possibility of harvesting lithium and potassium salts. This situation has risen a series of [...]

Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning

Yifei Guan, Ashesh Chattopadhyay, Adam Subel, et al.

Published: 2021-02-24
Subjects: Engineering

There is a growing interest in developing data-driven subgrid-scale (SGS) models for large-eddy simulation (LES) using machine learning (ML). In a priori (offline) tests, some recent studies have found ML-based data-driven SGS models that are trained on high-fidelity data (e.g., from direct numerical simulation, DNS) to outperform baseline physics-based models and accurately capture [...]

Global climate-driven trade-offs between the water retention and cooling benefits of urban greening

Mark Olaf Cuthbert, Gabriel Rau, Adam Bates, et al.

Published: 2021-02-23
Subjects: Civil and Environmental Engineering, Construction Engineering and Management, Earth Sciences, Engineering, Environmental Engineering, Environmental Health and Protection, Environmental Sciences, Hydrology, Physical Sciences and Mathematics, Sustainability, Water Resource Management

Heat-related mortality and flooding are pressing challenges for the >4 billion urban population worldwide, exacerbated by increasing urbanization and climate change. Urban greening, such as green roofs and parks, can potentially help address both problems, but the geographical variation of the relative hydrological and thermal performance benefits of such interventions are unknown. Here we [...]

Displacing fishmeal with protein derived from stranded methane

Sahar Head El Abbadi, Evan David Sherwin, Adam R Brandt, et al.

Published: 2021-02-23
Subjects: Bioresource and Agricultural Engineering, Civil and Environmental Engineering, Engineering, Environmental Engineering

Methane emitted and flared from industrial sources across the United States is a major contributor to global climate change. Methanotrophic bacteria can transform this methane into useful protein-rich biomass for animal feed. In the rapidly growing aquaculture industry, this can replace ocean-caught fishmeal, reducing demands on over-harvested fisheries. Here, we analyze the economic potential of [...]

Real-time Flood Mapping on Client-side Web Systems using HAND model

Anson Hu, Ibrahim Demir

Published: 2021-02-19
Subjects: Civil and Environmental Engineering, Computational Engineering, Engineering

The height above nearest drainage (HAND) model is frequently used to calculate properties of the soil as well as predict flood inundation extents. HAND is extremely useful due to its lack of reliance on prior data, as only the digital elevation model (DEM) is needed. It is close to optimal, running in linear or linearithmic time in the number of cells depending on the values of the heights. It [...]

Numerical modeling of Earth's dynamic surface: a community approach

Gregory E Tucker, Eric Hutton, Mark Piper, et al.

Published: 2021-02-14
Subjects: Civil and Environmental Engineering, Computer Sciences, Earth Sciences, Engineering, Environmental Engineering, Environmental Sciences, Geology, Geomorphology, Glaciology, Hydrology, Numerical Analysis and Scientific Computing, Other Environmental Sciences, Physical Sciences and Mathematics, Sedimentology, Soil Science, Stratigraphy

Computational modelling occupies a unique niche in Earth environmental sciences. Models serve not just as scientific technology and infrastructure, but also as digital containers of the scientific community's understanding of the natural world. As this understanding improves, so too must the associated software. This dual nature---models as both infrastructure and hypotheses---means that [...]

Using Landsat and Sentinel Imagery to Monitor Alfalfa and Grass Pastures in Western Colorado

Amandeep Vashisht, Stephen J Leisz

Published: 2021-02-10
Subjects: Engineering, Physical Sciences and Mathematics

Crop phenology of alfalfa and grass pasture fields on the western slope of Colorado, USA, was tracked using an NDVI time series derived from Landsat 7 (ETM+), Landsat 8 (OLI) and Sentinel 2a MSI to obtain high temporal frequency information of crop growth stages. These perennial pastures, which occupy a majority of irrigated land in the region and typically have more than one growing/cutting [...]

Improving the Robustness of the Comparison Model Method for the Identification of Hydraulic Transmissivities

Alessandro Comunian, Mauro Giudici

Published: 2021-02-10
Subjects: Engineering, Physical Sciences and Mathematics

The Comparison Model Method (CMM) is a relatively simple and computationally efficient direct method for the identification of the transmissivity of a confined aquifer by solution of an inverse problem. However, it suffers some of the classical drawbacks related to ill-posedness and ill-conditioning of inverse methods. Effectiveness of the CMM can be improved by some approaches. First of all, the [...]

Urban Running Activity Detected Using a Seismic Sensor duringCOVID-19 Pandemic

Yumin Zhao, Yunyue Elita Li, Enhedelihai Nilot, et al.

Published: 2021-01-30
Subjects: Engineering, Life Sciences, Social and Behavioral Sciences

Human foot traffic in urban environments provides essential information for city planners to manage the urban resources and urban residents to plan their activities. Compared to camera or mobile-based solutions, seismic sensors detect human footstep signals with fewer privacy concerns. However, seismic sensors often record signals generated from multiple sources, particularly in an urban outdoor [...]

Upper Mississippi River Flow and Sediment Characteristics and Their Effect on a Harbor Siltation Case

Roberto Fernández, Marcelo H Garcia, Gary Parker

Published: 2021-01-28
Subjects: Civil and Environmental Engineering, Civil Engineering, Earth Sciences, Engineering, Geomorphology, Hydraulic Engineering, Physical Sciences and Mathematics, Sedimentology

Upper Mississippi River flow and sediment characteristics downstream of St. Louis are presented in this study. Available and measured data were used to assess a harbor siltation case and dredging needs. Such data are also useful to researchers and engineers conducting work in the Mississippi River and large rivers in general. Flows were characterized in terms of the mean annual hydrograph, flow [...]

The Rayleigh-Haring-Tayfun distribution of wave heights in deep water

Saulo Matusalem da Silva Mendes, Alberto Scotti

Published: 2021-01-17
Subjects: Engineering, Fluid Dynamics, Hydraulic Engineering, Oceanography, Statistical Models

Regarding wave statistics, nearly every known exceeding probability distribution applied to rogue waves has shown disagreement with its peers. More often than not, models and experiments have shown a fair agreement with the Rayleigh distribution whereas others show that the latter underpredicts extreme heights by almost one order of magnitude. Virtually all previous results seem to be [...]

On the physical constraints for the exceeding probability of deep water rogue waves

Saulo Matusalem da Silva Mendes, Alberto Scotti, Paul Stansell

Published: 2021-01-16
Subjects: Engineering

Nearly four decades have elapsed since the first efforts to obtain a realistic narrow-banded model for extreme wave crests and heights were made, resulting in a couple dozen different exceeding probability distributions. These models reflect results of numerical simulations and storm records measured off of oil platforms, buoys and more recently satellite data. Nevertheless, no consensus has been [...]

Measurement error analysis of surface-bonded distributed fiber-optic strain sensor subjected to linear gradient strain: Theory and experimental validation

Xing Zheng, Bin Shi, Cheng-Cheng Zhang, et al.

Published: 2021-01-16
Subjects: Engineering, Physical Sciences and Mathematics

Strain transfer analysis is an important means of assessing the measurement accuracy of embedded or surface-bonded fiber-optic sensors; however, the effect of complex strain fields in substrates has not been well elucidated. Here, a theoretical model was proposed for the analysis of strain transfer mechanisms in surface-bonded distributed fiber-optic sensors due to linear strain gradients. [...]

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