Preprints
Filtering by Subject: Computational Engineering
Quantifying hydropower flexibility during extreme temperature events
Published: 2026-04-20
Subjects: Computational Engineering, Environmental Engineering, Hydraulic Engineering, Hydrology, Other Civil and Environmental Engineering, Other Mathematics, Power and Energy, Systems Engineering
Extreme weather events can impose substantial stress on the electrical grid. Hydropower offers unique operational flexibility, enhancing grid resilience and reliability. Despite this value of flexibility, systematic assessments of hydropower flexibility -- particularly during extreme events -- remain limited. This study is the first to quantify hydropower operational flexibility using 25 years' [...]
EXPLORATION OF WATER RESOURCES MANAGEMENT DECISION SUPPORT POTENTIAL IN DATA SCARCE WATERSHEDS AND ASSOCIATED DATA POLICY NEEDS
Published: 2026-04-18
Subjects: Bioresource and Agricultural Engineering, Computational Engineering, Environmental Monitoring, Hydrology, Natural Resources Management and Policy, Remote Sensing, Sustainability, Water Resource Management
Insufficient data access presents major challenges to scientific assessment of water resources, development of management plans, and attainment of water security. Hydrologic models are widely applied in the advisement of pollution, drought, and flood mitigation strategies; their accuracy relies on data used in setup and calibration. A case study of Sasumua River Watershed in Kenya illustrates [...]
Decadal Evolution of Supraglacial Hydrology on the Nivlisen Ice Shelf: From Localized Ponding to Spatially Synchronized Hydrofracture Forcing (2015-2026)
Published: 2026-03-27
Subjects: Computational Engineering, Earth Sciences, Environmental Sciences, Materials Science and Engineering, Mechanical Engineering, Physics
Understanding the mechanical response of Antarctic ice shelves to surface meltwater is critical for evaluating their structural stability. This study presents 11 austral summer seasons (AS 2015-2016 to AS 2025-2026) assessment of supraglacial melt pond dynamics and their mechanical implications for the Nivlisen Ice Shelf grounding zone using Landsat-8/9 imagery combined with in-situ validation [...]
Agentic Modelling Pipeline: Reproducible Rapid Stormwater Modelling Management System with OpenClaw
Published: 2026-03-17
Subjects: Civil and Environmental Engineering, Civil Engineering, Computational Engineering, Engineering, Environmental Engineering, Hydraulic Engineering
Configuring urban hydrological models, such as SWMM, for operational or real-time modelling remains onerous for many models. We propose an Agentic SWMM workflow, which embeds ‘Skills’ and model context protocols to automate model configuration, execution, and extract and plot quantities of interest. To ensure that the entire Agentic SWMM workflow is auditable and reproducible, each run will [...]
High-resolution seismic reservoir monitoring with multitask and transfer learning
Published: 2026-01-02
Subjects: Artificial Intelligence and Robotics, Computational Engineering, Geophysics and Seismology, Oil, Gas, and Energy, Sustainability
High-resolution real-time monitoring of reservoir changes is essential during CO2 injection or hydrocarbon production. Here, we leverage convolutional neural networks (CNNs) that employ multitask (MTL) and transfer (TL) learning to accurately predict relevant reservoir parameters from time-lapse seismic data. CNNs are initially trained to estimate the P-wave velocity from 2D multicomponent [...]
Multi-Agent Geophysical AI Workflow for Automated Reservoir Characterization
Published: 2025-11-06
Subjects: Artificial Intelligence and Robotics, Computational Engineering, Computer Sciences, Earth Sciences, Engineering, Geophysics and Seismology
Traditional geophysical workflows like reservoir characterization are driven in a collaborative manner where teams of geoscientists share their individual analyses to inform key decisions made by executives. However, these workflows are repetitive, time-consuming, prone to human error, and introduce subjective bias. While researchers have used automation to address these limitations via deep [...]
Assessing inversion uncertainty from initial-model variability in 3-D magnetotelluric inversion: Application to a geothermal field
Published: 2025-08-19
Subjects: Computational Engineering, Geophysics and Seismology, Geotechnical Engineering, Numerical Analysis and Scientific Computing, Power and Energy
Magnetotelluric (MT) inversion is widely used to image subsurface electrical resistivity structures, but three-dimensional (3-D) MT inversion is inherently non-unique, and the resulting models can depend strongly on the choice of the initial model. Despite this well-known sensitivity, systematic evaluation of initial-model-induced variability remains uncommon in practical 3-D MT studies due to [...]
HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology
Published: 2025-06-20
Subjects: Civil and Environmental Engineering, Computational Engineering, Education, Environmental Engineering, Hydraulic Engineering, Science and Mathematics Education
Scientific workflow reproducibility for hydrological and environmental analyses remains a challenge due to the heterogeneity of data sources, analysis protocols, and evolving visualization needs. This study introduces HydroBlox, a client-side browser-based framework that supports the creation, execution, and export of hydrological workflows using a visual programming interface. The platform [...]
AI-Driven Decision-Making for Water Resources Planning and Hazard Mitigation Using Automated Multi Agents
Published: 2024-12-27
Subjects: Civil Engineering, Computational Engineering, Computer and Systems Architecture, Computer Engineering, Ecology and Evolutionary Biology, Education, Engineering, Environmental Engineering, Geotechnical Engineering, Higher Education, Hydraulic Engineering, Operations Research, Systems Engineering and Industrial Engineering, Risk Analysis, Scholarship of Teaching and Learning, Systems Engineering, Terrestrial and Aquatic Ecology, Transportation Engineering
This project simulates the Multi-Hazard Tournament (MHT) framework, a decision support system designed for the U.S. Army Corps of Engineers, using AI agents to enhance decisionmaking processes for flood mitigation and water resource management. The objective of the framework is to develop optimal strategies for protecting water resources, habitats, and communities within a defined budget. The [...]
HydroSuite-AI: Facilitating Hydrological Research with LLM-Driven Code Assistance
Published: 2024-11-26
Subjects: Civil Engineering, Computational Engineering, Computer Engineering, Environmental Engineering, Science and Mathematics Education, Systems and Communications
In the hydrology and environmental domains, researchers often encounter complex hydrological models, evolving frameworks and libraries, and complex documentation, which necessitate both domain knowledge and coding expertise. This paper introduces HydroSuite-AI, a large language model-enhanced web application designed to address these challenges by integrating three open-source libraries: [...]
The State of Hydroinformatics Prior to Generative AI: Establishing a Quantitative Baseline (2018–2023)
Published: 2024-05-31
Subjects: Civil Engineering, Computational Engineering, Education, Engineering, Environmental Engineering
The rapid advancement of web applications and machine learning has fundamentally reshaped hydrogeological sciences. While the recent emergence of Large Language Models (LLMs) dominates current discourse, understanding the trajectory of this shift requires quantifying the foundational digitization trends that preceded it. This study presents an automated web-mining framework designed to extract [...]
Improving Urban Climate Adaptation Modelling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation
Published: 2024-04-03
Subjects: Atmospheric Sciences, Civil Engineering, Climate, Computational Engineering, Environmental Engineering, Environmental Sciences
Increasing the albedo of urban surfaces, through strategies like white roof installations, has emerged as a promising approach for urban climate adaptation. Yet, modelling these strategies on a large scale is limited by the use of static urban surface albedo representations in the Earth system models. In this study, we developed a new transient urban surface albedo scheme in the Community Earth [...]
Challenges of applying an embedded domain specific language for performance portability to Earth system models
Published: 2024-02-26
Subjects: Computational Engineering, Earth Sciences
Weather and climate modeling, reliant on substantial computational resources, faces challenges of escalating resource demands and energy consumption as problem sizes and model complexity increase. Leveraging Graphics Processing Units (GPUs) for accelerated simulations demands performance portability across diverse High Performance Computing (HPC) architectures. The concept of embedded Domain [...]
On the economic feasibility of tidal range power plants
Published: 2023-12-17
Subjects: Civil and Environmental Engineering, Computational Engineering, Engineering, Environmental Engineering, Hydraulic Engineering
The wave potential energy associated with tides presents a promising sustainable energy resource. Uncertainties on the economic case of tidal range power plants are a known bottleneck hindering the development of the industry. Significant costs depend on each design's general arrangement, which includes both mechanical components and the associated civil works. Research on tidal range structures [...]
Graphics Processing Unit Assisted Computation for a Gas-Phase Chemical Solver in a Regulatory Chemical Transport Model
Published: 2023-11-28
Subjects: Civil and Environmental Engineering, Computational Engineering
The Earth’s atmosphere is extremely complex due to the presence of several dynamic processes, such as dispersion, diffusion, deposition, and chemical reactions. There is a pressing need to improve the predictability of air quality models by integrating more of these scientific processes with an increasing number of chemical species into the mechanisms. These enhancements degrade the computational [...]