There are 15 Preprints listed.

An Urban Planning Sustainability Framework: Systems Approach to Blue Green Urban Design

Pepe Puchol-Salort, Maarten Van Reeuwijk, Ana Mijic, Jimmy Okeeffe

Published: 2020-10-23
Subjects: Engineering

The climate emergency and population growth are challenging water security and sustainable urban design in cities worldwide. Sustainable urban development is crucial to minimise pressures on the natural environment and on existing urban infrastructure systems, including water, energy, and land. These pressures are particularly evident in London, which is considered highly vulnerable to water [...]

A Physics-Based Decorrelation Phase CovarianceModel for Noise Reduction in UnwrappedInterferometric Phase Stacks

Yujie Zheng, Howard Zebker, Roger Michaelides

Published: 2020-10-23
Subjects: Earth Sciences, Statistics and Probability

The accuracy of geophysical parameter estimation made with Interferometric Synthetic Aperture Radar (InSAR) time-series techniques can be improved with rapidly increasing available data volumes, and with the development of noise covariance matrices applicable to joint analysis of networks of interferograms. Here we present a physics-based decorrelation phase covariance model and discuss [...]

A data assimilation approach to last millennium temperature field reconstruction using a limited high-sensitivity proxy network

Jonathan King, Kevin Anchukaitis, Jess Tierney, Greg Hakim, Julien Emile-Geay, Feng Zhu, Rob Wilson

Published: 2020-10-23
Subjects: Climate, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Paleoclimate field reconstructions using data assimilation commonly employ large proxy networks, which are often composed of records that have a complex range of sensitivities to the target climate field. This can introduce biases into reconstructions or decrease overall skill. Smaller networks of highly-sensitive proxies provide an alternative, but have not been extensively used for assimilation [...]

Comparing patterns of hurricane washover into built and unbuilt environments

Eli Lazarus, Evan B Goldstein, Luke Taylor, Hannah Williams

Published: 2020-10-23
Subjects: Geomorphology, Nature and Society Relations, Physical and Environmental Geography, Sustainability

Extreme geohazard events can change landscape morphology by redistributing huge volumes of sediment. Event-driven sediment deposition is typically studied in unbuilt settings – despite the ubiquity of occurrence and high economic cost of these geohazard impacts in built environments. Moreover, sedimentary consequences of extreme events in built settings tend to go unrecorded because they are [...]

ROMY: A Multi-Component Ring Laser for Geodesy and Geophysics

Heiner Igel, Ulrich K Schreiber, Andre Gebauer, Felix Bernauer, Sven Egdorf, Andrea Simonelli, Chin-Jen Lin, Joachim Wassermann, Stefanie Donner, Celine Hadziioannou, Shihao Yuan, Andreas Brotzer, Jan Kodet, Toshiro Tanimoto, Urs Hugentobler, Jon-Paul Wells

Published: 2020-10-23
Subjects: Physical Sciences and Mathematics

Single-component ring lasers have provided high-resolution observations of Earth's rotation rate as well as local earthquake- or otherwise-induced rotational ground motions. Here we present the design, construction, and operational aspects of ROMY, a four-component, tetrahedral-shaped ring laser installed at the Geophysical Observatory Fürstenfeldbruck near Munich, Germany. Four equilateral, [...]

Development of new Index based supervised algorithm for separation of Built-Up and River Sand pixels from Landsat7 imagery : Comparison of performance with SVM

Amritendu Mukherjee, Parthasarathy Ramachandran

Published: 2020-10-22
Subjects: Computational Engineering, Engineering, Environmental Engineering

While classifying “built-up” pixels from satel- lite imagery, both machine learning & index based algo- rithms often misclassify “river sand” pixels as “built-up” ones due to the similarity in their spectral profiles. With the help of the spectral reflectance information in BLUE & GREEN bands of Landsat satellite imagery, this study has introduced a new index BRSSI (Built-Up & River Sand [...]

A single multi-scale and multi-sourced semi-automated lineament detection technique for detailed structural mapping with applications to geothermal energy exploration

Christopher Mark Yeomans, Hester Claridge, Alexander Hudson, Robin K Shail, Cees Willems, Matthew Eyre, Chris Harker

Published: 2020-10-22
Subjects: Geology, Geomorphology, Tectonics and Structure

A multitude of semi-automated algorithms, many incorporating multi-sourced datasets into a single analysis, now exist. However, these operate at a fixed pixel resolution resulting in multi-sourced methods being limited by the largest input pixel size. Multi-scale lineament detection circumvents this issue and allows increased levels of detail to be captured. In this study we present a [...]

DeepPhasePick: A method for Detecting and Picking Seismic Phases from Local Earthquakes based on highly optimized Convolutional and Recurrent Deep Neural Networks

Hugo Soto, Bernd Schurr

Published: 2020-10-22
Subjects: Geophysics and Seismology

Seismic phase detection, identification and first-onset picking are basic but essential routines to analyse earthquake data. As both the number of seismic stations, globally and regionally, and the number of experiments greatly increase due to ever greater availability of instrumentation, automated data processing becomes more and more essential. E.g., for modern seismic experiments involving [...]

Modeling the impact of bioturbation and species abundance upon discrete-depth individual foraminifera analysis used in ENSO-type climate reconstructions.

Bryan C. Lougheed, Brett Metcalfe

Published: 2020-10-22
Subjects: Earth Sciences, Geology

We use a single foraminifera enabled, holistic hydroclimate-to-sediment transient modelling approach to fundamentally evaluate the efficacy of discrete-depth individual foraminifera analysis (IFA) for reconstructing past sea surface temperature (SST) distribution, a method that has been used for reconstructing El Niño Southern Oscillation (ENSO). The computer model environment allows us to [...]

1600 year-long sedimentary record of tsunamis and hurricanes in the Lesser Antilles (Scrub Island, Anguilla)

Maude BIGUENET, Pierre Sabatier, Eric Chaumillon, Catherine Chagué, Fabien Arnaud, Frans Jorissen, Thibault Coulombier, Emeline Geba, Louise Cordrie, Pierre Vacher, Anne-Lise Develle, Emilie Chalmin, Fayçal Soufi, Nathalie Feuillet

Published: 2020-10-22
Subjects: Geochemistry, Oceanography, Sedimentology

The Lesser Antilles are a densely populated and a very touristic region exposed to many short-term hazards such as hurricanes and tsunamis. However, the historical catalog of these events is too short to allow risk assessment and return period estimations, and it needs to be completed with long-term geological records. Two sediment cores were sampled in March 2018 in a small coastal lagoon on [...]

On the use of mesh movement methods to help overcome the multi-scale challenges associated with hydro-morphodynamic modelling

Mariana C A Clare, Joseph Wallwork, Stephan C Kramer, Hilary Weller, Colin J Cotter, Matthew Piggott

Published: 2020-10-22
Subjects: Applied Mathematics, Geomorphology, Mathematics, Numerical Analysis and Computation, Partial Differential Equations

Hydro-morphodynamic models are an important tool that can be used in the protection of coastal zones. They can be required to resolve spatial scales ranging from sub-metre to hundreds of kilometres and are computationally expensive. In this work, we apply mesh movement methods to a depth-averaged hydro-morphodynamic model for the first time, in order to tackle both these issues. Mesh movement [...]

Hydropower information for power system modelling: the JRC-EFAS-Hydropower dataset

Matteo De Felice

Published: 2020-10-22
Subjects: Power and Energy, Water Resource Management

Hydropower plays a very important role in European power systems. Consequently, any power system model aiming to reproduce the behaviour of current and future European power systems should include an accurate representation of the natural variability of water availability, i.e. the amount of water that can be transformed into energy. The JRC-EFAS-Hydropower dataset contains the weekly [...]

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Sheila M. Saia, Natalie G. Nelson, Anders S. Huseth, Khara Grieger, Brian J. Reich

Published: 2020-10-22
Subjects: Agriculture, Computer Sciences, Environmental Education, Environmental Sciences, Environmental Studies, Forest Management, Forest Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Water Resource Management

Advances in sensing and computation have accelerated at unprecedented rates and scales, in turn creating new opportunities for natural resources managers to improve adaptive and predictive management practices by coupling large environmental datasets with machine learning (ML). Yet, to date, ML models often remain inaccessible to managers working outside of academic research. To identify [...]

Controls on denudation along the East Australian continental margin

Alexandru T. Codilean, Réka-Hajnalka Fülöp, Henry Munack, Klaus M. Wilcken, Timothy J. Cohen, Dylan H. Rood, David Fink, Rebecca Bartley, Jacky Croke, Keith L. Fifield

Published: 2020-10-22
Subjects: Earth Sciences, Geomorphology, Physical Sciences and Mathematics

We report a comprehensive inventory of Be-10-based basin-wide denudation rates (n=160) and Al-26/Be-10 ratios (n=67) from 48 drainage basins along a 3,000 km stretch of the East Australian passive continental margin. We provide data from both basins draining east of the continental divide (n=37) and discharging into the Tasman and Coral Seas, and from basins draining to the west as part of the [...]

Linking elastic and electrical properties of rocks using cross-property DEM

Phillip Andrew Cilli, Mark Chapman

Published: 2020-10-22
Subjects: Earth Sciences, Engineering Science and Materials, Geophysics and Seismology, Materials Science and Engineering, Physical Sciences and Mathematics

Joint electrical-elastic rock physics modelling can be instrumental in lowering uncertainty in subsurface reservoir characterisation. Typical electrical-elastic cross-property models, however, are empirical or require an intermediate step of porosity estimation to link a rock's electrical and elastic moduli, which can be error-prone away from well controls. Another outstanding issue in [...]


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