Preprints

Filtering by Subject: Environmental Engineering

Groundwater resource allocation in British Columbia: challenges and ways forward

Tom Gleeson, Diana M Allen

Published: 2022-06-24
Subjects: Environmental Engineering, Hydrology, Sustainability, Water Resource Management

Groundwater allocation in British Columbia is facing a number of important challenges as groundwater is licensed under the Water Sustainability Act and potentially included in modern treaties. These challenges include acknowledging the importance of groundwater in supporting environmental flow needs and human water use, the uncertainty and irrelevance of annual recharge estimates, and the [...]

Methane Emissions from the Fossil Fuel Industries of the Russian Federation

Robert L Kleinberg

Published: 2022-05-19
Subjects: Climate, Environmental Engineering, Environmental Monitoring, Oil, Gas, and Energy

Methane is second only to carbon dioxide as a driver of human-induced climate change. Moreover, reducing the rate of methane emissions is the fastest and least disruptive way to moderate global temperature rise over the next several decades. The production of fossil fuels – principally coal, oil, and natural gas – is among the main sources of anthropogenic methane. As one of the world’s largest [...]

Interactive Hydrological Modelling and Simulation on Client-Side Web Systems: An Educational Case Study

Gregory James Ewing, Ricardo Mantilla, Witold F. Krajewski, et al.

Published: 2022-04-13
Subjects: Civil and Environmental Engineering, Earth Sciences, Education, Engineering, Engineering Education, Environmental Education, Environmental Engineering, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing, Other Civil and Environmental Engineering, Physical Sciences and Mathematics, Science and Mathematics Education, Water Resource Management

Computational hydrological models and simulations are fundamental pieces of the workflow of contemporary hydroscience research, education, and professional engineering activities. In support of hydrological modelling efforts, web-enabled tools for data processing, storage, computation, and visualization have proliferated. Most of these efforts rely on server resources for computation and data [...]

Automated machine learning to evaluate the information content of tropospheric trace gas columns for fine particle estimates over India: a modeling testbed

Zhonghua Zheng, Arlene M. Fiore, Daniel M. Westervelt, et al.

Published: 2022-03-20
Subjects: Artificial Intelligence and Robotics, Atmospheric Sciences, Civil and Environmental Engineering, Computer Sciences, Earth Sciences, Environmental Engineering, Environmental Sciences, Oceanography and Atmospheric Sciences and Meteorology

India is largely devoid of high-quality and reliable on-the-ground measurements of fine particulate matter (PM2.5). Ground-level PM2.5 concentrations are estimated from publicly available satellite Aerosol Optical Depth (AOD) products combined with other information. Prior research has largely overlooked the possibility of gaining additional accuracy and insights into the sources of PM using [...]

Quantitative and distributive measurement of ambient air pollution for global burden of disease

Ning Zhang, Sourangsu Chowdhury, Huabo Duan, et al.

Published: 2022-02-03
Subjects: Environmental Engineering, Environmental Public Health

Air quality impacts human health from multiple perspectives. Ambient air pollution (AAP) exposure poses a great contribution to the global burden of disease (BoD). The United Nations launched the Sustainable Development Goals (SDGs) to evaluate sustainability levels and improve human living environments. In particular, the two indicators 3.9.1 and 11.6.2, i.e. fine particulate matters (PM2.5 and [...]

Integrating Connectivity Into Hydrodynamic Models: An Automated Open-Source Method to Refine an Unstructured Mesh Using Remote Sensing

Kyle Wright, Paola Passalacqua, Marc Simard, et al.

Published: 2022-01-27
Subjects: Earth Sciences, Environmental Engineering, Numerical Analysis and Scientific Computing

Hydrodynamic models are an essential tool for studying the movement of water and other materials across the Earth surface. However, the possible questions which models can address remain limited by practical constraints on model size and resolution, particularly in fluvial and coastal environments in which hydrodynamically-relevant landscape features are topologically complex and span a wide [...]

Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network

Zhongrun Xiang, Ibrahim Demir

Published: 2022-01-15
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Hydrology

Recent studies using latest deep learning algorithms such as LSTM (Long Short-Term Memory) have shown great promise in time-series modeling. There are many studies focusing on the watershed-scale rainfall-runoff modeling or streamflow forecasting, often considering a single watershed with limited generalization capabilities. To improve the model performance, several studies explored an integrated [...]

Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa

Muneeb Shahid, Yusuf Sermet, Jerry Mount, et al.

Published: 2021-12-25
Subjects: Computer Sciences, Earth Sciences, Environmental Engineering, Environmental Sciences

Geographic Information Systems (GIS) are available as stand-alone desktop applications as well as web platforms for vector- and raster-based geospatial data processing and visualization. While each approach offers certain advantages, limitations exist that motivate the development of hybrid systems that will increase the productivity of users for performing interactive data analytics using [...]

Copper availability governs nitrous oxide accumulation in wetland soils and stream sediments

Neha Sharma, Elaine D. Flynn, Jeffrey G. Catalano, et al.

Published: 2021-12-15
Subjects: Biogeochemistry, Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Engineering, Geochemistry, Life Sciences

Denitrification is microbially-mediated through enzymes containing metal cofactors. Laboratory studies of pure cultures have highlighted that the availability of Cu, required for the multicopper enzyme nitrous oxide reductase, can limit N2O reduction. However, in natural aquatic systems, such as wetlands and hyporheic zones in stream beds, the role of Cu in controlling denitrification remains [...]

Components and Tidal Modulation of the Wave Field in a Semi-Enclosed Shallow Bay

Lukas WinklerPrins, John Largier, Ana Vila-Concejo, et al.

Published: 2021-12-09
Subjects: Environmental Engineering, Geomorphology, Oceanography

The wave field in coastal bays is comprised of waves generated by far-off storms and waves generated locally by winds inside the bay and regionally outside the bay. The resultant wave field varies spatially and temporally and is expected to control morphologic features, such as beaches in estuaries and bays (BEBs). However, neither the wave field nor the role of waves in shaping BEBs have been [...]

Modeling the Responses of Dissolved Oxygen and Nitrate Concentrations due to Land Use and Land Cover Change Scenarios in a Large Subtropical Reservoir

Carolina Cerqueira Barbosa, Maria do Carmo Calijuri, Phelipe da Silva Anjinho, et al.

Published: 2021-09-15
Subjects: Biochemistry, Environmental Engineering, Terrestrial and Aquatic Ecology

Itupararanga reservoir is a large reservoir built in the Southeast of Brazil to support multiple uses, mainly hydropower generation and drinking water supply for almost 1 million people. We applied a process-based biogeochemical model and a distributed basin load model to assess the responses of dissolved oxygen and nitrate concentrations in the Itupararanga reservoir based on three land use and [...]

Integrating Scientific Knowledge into Machine Learning using Interactive Decision Trees

Georgios Sarailidis, Thorsten Wagener, Francesca Pianosi

Published: 2021-07-23
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering

Decision Trees (DT) is a machine learning method that has been widely used in the geosciences to automatically extract patterns from complex and high dimensional data. However, like any data-based method, the application of DT is hindered by data limitations and potentially physically unrealistic results. We develop interactive DT (iDT) that put the human in the loop and integrate the power of [...]

Toward automating post processing of aquatic sensor data

Amber S Jones, Tanner Lex Jones, Jeffery S Horsburgh

Published: 2021-07-23
Subjects: Biogeochemistry, Civil Engineering, Environmental Engineering, Environmental Monitoring, Hydrology

Sensors measuring environmental phenomena at high frequency commonly report anomalies related to fouling, sensor drift and calibration, and datalogging and transmission issues. Suitability of data for analyses and decision making often depends on manual review and adjustment of data. Machine learning techniques have potential to automate identification and correction of anomalies, streamlining [...]

Phosphorus Retention in Lakes: A Critical Reassessment of Hypotheses and Static Models

Hamed Khorasani, Zhenduo Zhu

Published: 2021-06-24
Subjects: Engineering, Environmental Engineering, Hydraulic Engineering, Hydrology, Water Resource Management

Various hypotheses and models for phosphorus (P) retention in lakes are reviewed and 39 predictive models are assessed in three categories, namely mechanistic, semi-mechanistic, and strictly-empirical models. A large database consisting of 738 data points is gathered for the analyses. Assessing four pairs of competing hypotheses used in mechanistic models, we found that (i) simulating lakes as [...]

Will it float? Rising and settling velocities of common macroplastic foils

Boaz Kuizenga, Tim van Emmerik, Kryss Waldschläger, et al.

Published: 2021-06-15
Subjects: Environmental Engineering, Hydraulic Engineering

Plastic accumulates in the environment because of insufficient waste handling and the materials' high durability. Better understanding of plastic behaviour in the aquatic environment is needed to estimate transport and accumulation, which can be used for monitoring strategies, prevention measures, and plastic clean-up activities. Plastic transport models benefit from accurate description of [...]

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