Preprints

Filtering by Subject: Civil and Environmental Engineering

Modeling the effects of future urban planning scenarios on the Urban Heat Island in a complex region

Sylvain Labedens, Jean Louis Scartezzini, Dasaraden Mauree

Published: 2018-10-02
Subjects: Civil and Environmental Engineering, Construction Engineering and Management, Engineering, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Because of the global warming, urban planning strategies must be investigated to reduce the building energy consumption and increase the thermal comfort in cities. In the framework of Energy Strategy 2050 of Switzerland, this research aim to highlight the impact of future climate change on urban planning and proposes strategies to help urban planners and policymakers face this new challenge [...]

Vulnerability of Louisiana’s coastal wetlands to present-day rates of relative sea-level rise

Krista L. Jankowski, Torbjorn Tornqvist, Anjali M Fernandes

Published: 2018-09-30
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Environmental Monitoring, Environmental Sciences, Geology, Geomorphology, Hydrology, Natural Resources Management and Policy, Physical Sciences and Mathematics, Risk Analysis, Sedimentology, Soil Science, Stratigraphy, Sustainability

Coastal Louisiana has lost about 5,000km2 of wetlands over the past century and concern exists whether remaining wetlands will persist while facing some of the world’s highest rates of relative sea-level rise (RSLR). Here we analyse an unprecedented data set derived from 274 rod surface-elevation table-marker horizon stations, to determine present-day surface-elevation change, vertical accretion [...]

Quantifying natural delta variability using a multiple-point geostatistics prior uncertainty model

Céline Scheidt, Anjali M Fernandes, Chris Paola, et al.

Published: 2018-09-30
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Computer Sciences, Earth Sciences, Electrical and Computer Engineering, Engineering, Environmental Engineering, Geology, Geomorphology, Other Civil and Environmental Engineering, Other Engineering, Physical Sciences and Mathematics, Sedimentology, Stratigraphy, Theory and Algorithms

We address the question of quantifying uncertainty associated with autogenic pattern variability in a channelized transport system by means of a modern geostatistical method. This question has considerable relevance for practical subsurface applications as well, particularly those related to uncertainty quantification relying on Bayesian approaches. Specifically, we show how the autogenic [...]

Learning about climate change uncertainty enables flexible water infrastructure planning

Sarah Marie Fletcher, Megan Lickley, Kenneth Strzepek

Published: 2018-09-29
Subjects: Civil and Environmental Engineering, Civil Engineering, Climate, Computer Sciences, Earth Sciences, Engineering, Environmental Sciences, Hydrology, Numerical Analysis and Scientific Computing, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Statistics and Probability, Water Resource Management

Water resources planning requires making decisions about infrastructure development under substantial uncertainty in future regional climate conditions. However, uncertainty in climate change projections will evolve over the 100-year lifetime of a dam as new climate observations become available. Flexible strategies in which infrastructure is proactively designed to be changed in the future have [...]

Estimating flood quantiles at ungauged sites using nonparametric regression methods with spatial components

Martin Durocher, Donald H. Burn, Shabnam Mostofi Zadeh, et al.

Published: 2018-09-26
Subjects: Civil and Environmental Engineering, Engineering, Other Civil and Environmental Engineering

Prediction of flood quantiles at ungauged sites has been investigated using several nonparametric regression methods including: local regression based on regions of influence, neural networks and generalized additive models (GAM). These methods were used to describe the relationship between run-off variables and catchment descriptors to predict flood quantiles. Previous work reported the presence [...]

A nationwide regional flood frequency analysis at ungauged sites using ROI/GLS with copulas and super regions

Martin Durocher, Donald H. Burn, Shabnam Mostofi Zadeh

Published: 2018-09-26
Subjects: Civil and Environmental Engineering, Engineering, Other Civil and Environmental Engineering

Region of influence is a common approach to estimate runoff information at ungauged locations. To estimate flood quantiles from annual maximum discharges, the Generalized Least Squares (GLS) framework has been recommended to account for unequal sampling variance and intersite correlation, which requires a proper evaluation of the sampling covariance structure. Since some jurisdictions do not [...]

Backwater Controls on the Sedimentology, Kinematics and Geometry of Bar Deposits in Coastal Rivers

Anjali M Fernandes, Virginia B. Smith, Kashauna Mason

Published: 2018-09-23
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Geology, Geomorphology, Hydrology, Physical Sciences and Mathematics, Sedimentology, Stratigraphy

The backwater reach of coastal rivers is associated with considerable spatial and temporal variability in water and sediment flux. Here we test the hypothesis that the spatial and temporal variability in water flux and particle sizes in transport result in systematic changes in the geometry of bank-attached bars across the backwater transition. Measured transverse slopes of bank-attached bars in [...]

Creating a Model to Optimize and Evaluate the Heat-Reducing Capacity of Green Infrastructure

Natasha Stamler

Published: 2018-09-10
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering, Environmental Public Health, Environmental Studies, Medicine and Health Sciences, Public Health, Social and Behavioral Sciences

As global warming increases temperatures worldwide, cities are experiencing even greater temperatures due to the urban heat island effect, which is the trapping of heat in “gray” urban infrastructure. Cities are combatting this with green infrastructure (GI) initiatives, such as the Department of Environmental Protection (DEP) GI initiative in New York City. However, these programs are often [...]

Modifications to Internal Tide Conversion Parameterizations and Implementation into Barotropic Ocean Models

William James Pringle, Damrongsak Wirasaet, Joannes J. Westerink

Published: 2018-08-15
Subjects: Civil and Environmental Engineering, Engineering, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Parameterization of the tidal energy conversion from barotropic to baroclinic modes through internal tide generation over rough and steep submarine topography is a necessary dissipative force for barotropic ocean models. We present and unify two forms of parameterizations that differ by assuming that wave generation is either only due to the local topographic features, or that it includes the [...]

A network scale, intermediate complexity model for simulating channel evolution over years to decades

Roderick Lammers, Brian P Bledsoe

Published: 2018-07-03
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Physical Sciences and Mathematics

Excessive river erosion and sedimentation threatens critical infrastructure, degrades aquatic habitat, and impairs water quality. Tools for predicting the magnitude of erosion, sedimentation, and channel evolution processes are needed for effective mitigation and management. We present a new numerical model that simulates coupled river bed and bank erosion at the watershed scale. The model uses [...]

Evaluation of open-access global digital elevation models (AW3D30, SRTM and ASTER) for flood modelling purposes

Laurent Courty, Julio César Soriano-Monzalvo, Adrián Pedrozo-Acuña

Published: 2018-06-25
Subjects: Aerospace Engineering, Civil and Environmental Engineering, Computational Engineering, Computer Engineering, Earth Sciences, Engineering, Environmental Sciences, Hydraulic Engineering, Hydrology, Life Sciences, Physical Sciences and Mathematics, Water Resource Management

Digital Elevation Models (DEM) are a key piece of information for the accurate representation of topographic controls exerted in hydrologic and hydraulic models. Many practitioners rely on open-access global datasets usually obtained from space-borne survey due to the cost and sparse coverage of sources of higher resolution. In may 2016 the Japan Aerospace eXploration Agency publicly released an [...]

Surface albedo as a proxy for land-cover clearing in seasonally dry forests: evidence from the Brazilian Caatinga

John Cunha, Rodolfo Luiz Bezerra Nóbrega, Iana Alexandra Alves Rufino, et al.

Published: 2018-05-16
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Natural Resources and Conservation, Other Environmental Sciences, Physical Sciences and Mathematics

Ongoing increase in human and climate pressures, in addition to the lack of monitoring initiatives, makes the Caatinga one of the most vulnerable forests in the world. The Caatinga is located in the semi-arid region of Brazil and its vegetation phenology is highly dependent on precipitation, which has a high spatial and temporal variability. Under these circumstances, satellite image-based [...]

Rainfall-Runoff modelling using Long Short-Term Memory (LSTM) networks

Frederik Kratzert, Daniel Klotz, Claire Brenner, et al.

Published: 2018-05-01
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Hydrology, Physical Sciences and Mathematics

Rainfall-runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data driven models. In this paper, we propose a novel data driven approach, using the Long-Short-Term-Memory (LSTM) network, a special type of recurrent neural networks. The advantage of the LSTM is its ability to learn long-term [...]

Optimising tidal range power plant operation

Athanasios Angeloudis, Stephan C Kramer, Alexandros Avdis, et al.

Published: 2017-12-11
Subjects: Civil and Environmental Engineering, Civil Engineering, Computational Engineering, Electrical and Computer Engineering, Engineering, Hydraulic Engineering, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Power and Energy

Tidal range power plants represent an attractive approach for the large-scale generation of electricity from the marine environment. Even though the tides and by extension the available energy resource are predictable, they are also variable in time. This variability poses a challenge regarding the optimal transient control of power plants. Here we consider simulation methods which include the [...]

Comparison of 0-D, 1-D and 2-D model capabilities for tidal range energy resource assessments

Athanasios Angeloudis, Matthew Piggott, Stephan C Kramer, et al.

Published: 2017-11-22
Subjects: Civil and Environmental Engineering, Computational Engineering, Earth Sciences, Electrical and Computer Engineering, Engineering, Environmental Sciences, Hydraulic Engineering, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Power and Energy

Tidal range energy projects present an attractive means for the predictable and large-scale generation of electricity from the marine environment. In particular, proposals are under consideration in UK waters, with their feasibility currently being under high levels of scrutiny. This is due to a combination of potential environmental and socio-economic impacts that are challenging to quantify in [...]

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