Preprints

Filtering by Subject: Environmental Engineering

Setting an ecological flow regime in a Mediterranean basin with limited data availability: the Locone River case study (S-E Italy)

Marianna Leone, Francesco Gentile, Antonio Lo Porto, et al.

Published: 2023-03-31
Subjects: Environmental Engineering, Other Ecology and Evolutionary Biology

The Environmental Flow regime (E-Flows) was defined as the flow regime necessary to support river ecosystems, which in turn support crops, the economy, sustainable livelihoods, and human well-being. Although a large number of methods for setting an E-Flow regime have been developed, E-Flows science is still an emerging discipline in non-perennial rivers because of the lack of specific guidelines [...]

Crop Yield Prediction based on Reanalysis and Crop Phenology Data in the Agroclimatic Zones

Serhan Yeşilköy, Ibrahim Demir

Published: 2023-03-24
Subjects: Agriculture, Civil and Environmental Engineering, Environmental Engineering

Crop yield and phenological stages are remarkably sensitive to not only environmental factors like atmospheric conditions and physical properties of soils but also agricultural activities. Accurate crop yield prediction plays a crucial role in food security and agricultural sustainability. There are several approaches that a wide range of researchers have tried to predict crop yield at different [...]

Greenhouse gas intensity of geologic hydrogen produced from subsurface deposits

Adam R Brandt

Published: 2023-03-23
Subjects: Environmental Engineering, Environmental Indicators and Impact Assessment, Oil, Gas, and Energy

Geologic hydrogen (H2) deposits could be a source of climate friendly energy. In this work, we perform a prospective life cycle assessment of a generic geologic hydrogen production and processing system. While it is still too early in the development cycle to estimate precise life-cycle carbon intensities (CI) we can use fundamental engineering physics and chemistry to estimate CI. Our baseline [...]

Data, knowledge and modeling challenges for science-informed management of river deltas

Rafael Jan Pablo Schmitt, Philip S. J. Minderhoud

Published: 2023-03-16
Subjects: Environmental Engineering, Environmental Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Other Civil and Environmental Engineering, Other Environmental Sciences, Sustainability, Water Resource Management

450 million people live on river deltas and thus on land that is precariously low above the sea level and sinking because of human activities and natural processes. Although global debates around coastal risk typically focus on sea level rise, it is sinking lands and rising seas that together endanger lives and livelihoods in river deltas. However, the ability to quantify and address those risks [...]

Sand Shoal Dynamics of a Tide-Dominated Estuarine Embayment: Comparison of a Numerical Sediment Transport Model against Field Observations

Ben Williams, Lex Nielsen, Will Glamore, et al.

Published: 2023-02-06
Subjects: Engineering, Environmental Engineering, Oceanography

This paper presents an innovative and detailed dataset of currents and sediment transport observations over a sand shoal system responsible for focusing wave energy on eroding coastline. The data are used to measure the performance of a detailed numerical sediment transport model of the sand shoal system. The predictive skill of the model is 0.96 for tidal elevations within Port Phillip Bay, 0.75 [...]

Improving Shoreline Forecasting Models with Multi-Objective Genetic Programming

Mahmoud Al Najar, Rafael Almar, Erwin W. J. Bergsma, et al.

Published: 2023-01-10
Subjects: Artificial Intelligence and Robotics, Climate, Environmental Engineering, Environmental Monitoring, Geomorphology, Hydrology, Numerical Analysis and Scientific Computing, Oceanography, Sedimentology, Statistical Models

Given the current context of climate change and increasing population densities at coastal zones, there is an increasing need to be able to predict the development of our coasts. Recent advances in artificial intelligence allow for automatic analysis of observational data. This work makes use of Symbolic Regression, a type of Machine Learning algorithm, to evolve interpretable shoreline [...]

Fisher Discriminant Analysis for Extracting Interpretable Phenological Information from Multivariate Time Series Data

Conor Doherty, Meagan S Mauter

Published: 2022-10-24
Subjects: Applied Statistics, Environmental Engineering, Environmental Monitoring, Environmental Sciences, Remote Sensing

For many applications in environmental remote sensing, the interpretation of a given measurement depends strongly on what time of year the measurement was taken. This is particularly the case for phenology studies concerned with identifying when plant developmental transitions occur, but it is also true for a wide range of applications including vegetation species classification, crop yield [...]

GANSim-surrogate: An integrated framework for conditional geomodelling and uncertainty analysis

Suihong Song, Dongxiao Zhang, Tapan Mukerji, et al.

Published: 2022-10-24
Subjects: Computational Engineering, Earth Sciences, Environmental Engineering, Fluid Dynamics, Geology, Geophysics and Seismology, Hydrology, Sedimentology

We propose a deep-learning framework (GANSim-surrogate) for conditioning subsurface geomodel realizations to static data and dynamic flow data. The static data includes well facies data, interpreted facies probability maps, and non-spatial global features, while dynamic data can include well data such as pressures and flow rates. The framework consists of a Convolutional Neural Network (CNN) [...]

A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting

Muhammed Sit, Bekir Zahit Demiray, Ibrahim Demir

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 [...]

python-ags4: A Python library to read, write, and validate AGS4 geodata files

Asitha Senanayake, Roger Chandler, Tony Daly, et al.

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 [...]

Emerging advanced oxidation processes for water and wastewater treatment – guidance for systematic future research

Uwe Hübner, Stephanie Spahr, Holger Lutze, et al.

Published: 2022-09-09
Subjects: Environmental Chemistry, Environmental Engineering, Environmental Sciences

Advanced oxidation processes (AOPs) for water treatment are a growing research field with a large variety of different concepts and materials being tested at laboratory scale. However, only few concepts have been translated into pilot- and full-scale operation recently. One major concern are the inconsistent experimental approaches applied across different studies that impede identification, [...]

HydroLang Markup Language: Community-Driven Web Components for Hydrological Analyses

Carlos Erazo Ramirez, Muhammed Yusuf Sermet, Ibrahim Demir

Published: 2022-08-25
Subjects: Civil and Environmental Engineering, Computational Engineering, Environmental Engineering, Science and Mathematics Education

We introduce HydroLang Markup Language (HL-ML), a programming interface that uses markup language to perform environmental analyses using the hydrological and environmental framework HydroLang. The software acts as a self-contained interface that uses HTML tags powered by the web components specification to generate simple hydrological computations that enable data analysis, visualization and [...]

A new consistent framework for assignment of safe operating space to B2C and B2B industries for use in Absolute Environmental Sustainability Assessments

Hendrik Oosterhoff, Laura Golsteijn, Alexis Laurent, et al.

Published: 2022-07-25
Subjects: Engineering, Environmental Engineering, Sustainability

The planetary boundaries define a safe operating space for humanity to act within without potentially destabilizing the planet. The safe operating space is often used a sustainability reference in Absolute Environmental Sustainability Assessments (AESAs) where a share of the safe operating space (SoSOS) is assigned to the assessed activity. An identified challenge, is that current methods are [...]

An adaptive auto-reduction solver for speeding up integration of chemical kinetics in atmospheric chemistry models: implementation and evaluation in the Kinetic Pre-Processor (KPP) version 3.0.0

Haipeng Lin, Michael S. Long, Rolf Sander, et al.

Published: 2022-07-15
Subjects: Environmental Engineering, Numerical Analysis and Scientific Computing

Kinetic integration of large and stiff chemical mechanisms is a computational bottleneck in models of atmospheric chemistry. It requires implicit solution of the coupled system of kinetic differential equations with time-consuming construction and inversion of the Jacobian matrix. We present here a new version of the Kinetic Pre-Processor (KPP 3.0.0) for fast integration of chemical kinetics [...]

Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol with a Mass-Conserving Dimensionality Reduction Method

Patrick Obin Sturm, Astrid Manders, Ruud Janssen, et al.

Published: 2022-06-26
Subjects: Atmospheric Sciences, Climate, Earth Sciences, Engineering, Environmental Chemistry, Environmental Engineering, Environmental Sciences, Other Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

The chemical transport model LOTOS-EUROS uses a volatility basis set (VBS) approach to represent the formation of secondary organic aerosol (SOA) in the atmosphere. Inclusion of the VBS approximately doubles the dimensionality of LOTOS-EUROS and slows computation of the advection operator by a factor of two. This complexity limits SOA representation in operational forecasts. We develop a [...]

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