Preprints

Filtering by Subject: Civil Engineering

Integration and Execution of Community Land Model Urban (CLMU) in a Containerized Environment

Junjie Yu, Yuan Sun, Sarah Lindley, et al.

Published: 2024-11-27
Subjects: Civil Engineering, Computer Sciences, Earth Sciences, Environmental Engineering, Environmental Sciences

The Community Land Model Urban (CLMU) is a process-based numerical urban climate model that simulates the interactions between the atmosphere and urban surfaces, serving as a powerful tool for the convergence of urban and climate science research. Despite its advanced capabilities, CLMU presents significant challenges for users unfamiliar with numerical modeling due to the complexities of model [...]

HydroSuite-AI: Facilitating Hydrological Research with LLM-Driven Code Assistance

Vinay Pursnani, Carlos Erazo Ramirez, Muhammed Yusuf Sermet, et al.

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: [...]

A Simple Method for Designing Infiltration Low Impact Development Techniques Considering Effects of Urbanization and Climate Change

Marcus N. Gomes Jr., Cesar A. F. do Lago, Eduardo M. Mendiondo

Published: 2024-10-12
Subjects: Civil Engineering, Environmental Engineering, Hydraulic Engineering

Infiltration low-impact development (LID) techniques allow the slow infiltration of surface water, reducing peak volumes and flows. Their design consists of specifying the surface area and a maximum ponding depth to guarantee the minimum volume required to combat the effect of excessive urbanization. Arbitrary specifications of the design height (i.e., the maximum ponding depth) of these LIDs can [...]

Challenges and Opportunities of Data Driven Advance Classification of Hard Rock TBMs

Georg H. Erharter, Paul Johannes Unterlaß, Nedim Radončić, et al.

Published: 2024-09-21
Subjects: Applied Statistics, Civil and Environmental Engineering, Civil Engineering, Earth Sciences, Geology, Geotechnical Engineering

Tunnel Boring Machines (TBMs) have revolutionized tunneling industry and are currently the dominant method of tunneling in all ground types including soil and rock. Traditional approaches to TBM advance classification, however, rely heavily on subjective assessments by onsite personnel, which are often hampered by limited access to the excavation face and discontinuous observation intervals. [...]

Uncertainty aware sample mass determination of coarse-grained soils for particle size analyses

Georg H. Erharter, Santiago Quinteros, Diana Cordeiro, et al.

Published: 2024-08-23
Subjects: Applied Statistics, Civil and Environmental Engineering, Civil Engineering, Earth Sciences, Engineering, Environmental Engineering, Environmental Monitoring, Geology, Geomorphology, Geotechnical Engineering, Hydraulic Engineering, Hydrology, Other Civil and Environmental Engineering, Other Earth Sciences, Probability, Sedimentology, Soil Science, Statistical Models, Statistics and Probability, Stratigraphy

Determining particle size distributions (PSD) of soils is a basic first step in manygeotechnical analyses and guidance is given in different national standards. Forambiguous reasons, the recommended minimum sample mass (m_min) for the PSD-analyses of soils with a main component of gravel or greater is based on equationsincluding the soil's maximum grain diameter (D_max). We claim that the [...]

Integrating Conversational AI Agents for Enhanced Water Quality Analytics: Development of a Novel Data Expert System

Gabriel Michael Vald, Muhammed Yusuf Sermet, Jerry Mount, et al.

Published: 2024-06-01
Subjects: Artificial Intelligence and Robotics, Civil Engineering, Databases and Information Systems, Environmental Engineering, Hydrology, Software Engineering

Despite advancements in environmental monitoring, the gap between data collection and user-friendly data interpretation remains a significant challenge, especially in the domain of water quality management. This paper introduces the Artificial Intelligence Data Expert (AI-DE), a novel data analytics system that is designed to facilitate on-demand analysis of time-series sensor data related to [...]

Technological Trends in The Field of Hydrology and Environmental Sciences: A Bibliometric Analysis

Carlos Erazo Ramirez, Kevin Song, Ibrahim Demir

Published: 2024-05-31
Subjects: Civil Engineering, Computational Engineering, Education, Engineering, Environmental Engineering

The rapid advancement and widespread adoption of technology, particularly in web applications and artificial intelligence, have significantly impacted various sectors, including industry, social media, government, and research. This surge in technological utilization has played a pivotal role in the evolution of hydrogeological and environmental sciences, empowering researchers to harness [...]

Geo-WC: Custom Web Components for Earth Science Organizations and Agencies

Sumeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez, et al.

Published: 2024-04-16
Subjects: Civil and Environmental Engineering, Civil Engineering, Computer Engineering, Engineering Education, Hydraulic Engineering

The development of web technologies and their integration into various fields has allowed a new era in data-driven decision-making and public information accessibility, especially through their adoption of monitoring and quantification environmental data resources provided by governmental institutions. While the use of web technologies has given way to the creation of democratized applications, [...]

Improving Urban Climate Adaptation Modelling in the Community Earth System Model (CESM) Through Transient Urban Surface Albedo Representation

Yuan Sun, Bowen Fang, Keith W Oleson, et al.

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 [...]

The numerical evaluation of the effect of Geotextile sample size on the behavior of reinforced cohesive soil

Kuwar khairnar, Sintash Shivde

Published: 2024-01-20
Subjects: Civil and Environmental Engineering, Civil Engineering, Engineering, Geotechnical Engineering

The effect of sample size is a phenomenon that involves the dependence of resistance on the size of the tested sample, where smaller samples exhibit higher resistance compared to larger ones. Due to the importance and sensitivity of determining the resistances of laboratory samples for use in design, codes, and standards, efforts are made to minimize the effects of sample size. This issue holds [...]

Advancing Regional Flood Mapping in a Changing Climate: A HAND-Based Approach for New Jersey with Innovations in Catchment Analysis

David Bazzett, Ruo-Qian Wang, Lucas Marxen

Published: 2023-11-03
Subjects: Civil Engineering, Environmental Engineering, Hydraulic Engineering, Hydrology

Regional flood mapping poses computational and spatial heterogeneity challenges, exacerbated by climate change-induced uncertainties. This study focuses on creating a state-wide flood mapping solution with enhanced accuracy and computational speed to support regional flooding hazard analysis and the assessment of climate change, using New Jersey as a case study. The Height Above Nearest Drainage [...]

Data for Critical Infrastructure Network Modelling of Natural Hazard Impacts: Needs and Influence on Model Characteristics

Roman Schotten, Evelyn Mühlhofer, Georgios Alexandros Chatzistefanou, et al.

Published: 2023-11-03
Subjects: Civil Engineering, Environmental Engineering, Environmental Sciences, Risk Analysis

Natural hazards impact the interdependent infrastructure networks that keep modern society functional. While a variety of critical infrastructure network (CIN) modelling approaches are available to represent CI networks on different scales and analyse the impacts of natural hazards, a recurring challenge for all modelling approaches is the availability and accessibility of sufficiently [...]

Yield strength determination based on dissipative energetic transition

Martin Lesueur, Xinrui Zhang, Hadrien Rattez, et al.

Published: 2023-08-30
Subjects: Applied Mechanics, Civil Engineering, Earth Sciences

Mechanical yield strength is one of the most crucial mechanical properties to consider to remain operating in safe elastic regimes. Despite its importance, it remains ambiguous to measure as different disciplines acknowledge different definitions. Most common examples include the deviation from linear elasticity or the peak stress. This difference has significant consequences for the modelling of [...]

GroMoPo: A Groundwater Model Portal for Findable, Accessible, Interoperable, and Reusable (FAIR) modeling

Sam Zipper, Kevin M Befus, Robert Reinecke, et al.

Published: 2023-07-26
Subjects: Civil Engineering, Hydrology, Water Resource Management

N/A (no abstract)

Mapping Permafrost Variability and Degradation Using Seismic Surface Waves, Electrical Resistivity, and Temperature Sensing: A Case Study in Arctic Alaska

Ahmad Tourei, Xiaohang Ji, Gabriel Fernando Rocha dos Santos, et al.

Published: 2023-07-19
Subjects: Civil Engineering, Geophysics and Seismology, Geotechnical Engineering, Hydrology

Subsurface processes significantly influence surface dynamics in permafrost regions, necessitating utilizing diverse geophysical methods to reliably constrain permafrost characteristics. This research uses multiple geophysical techniques to explore the spatial variability of permafrost in undisturbed tundra and its degradation in disturbed tundra in Utqiaġvik, Alaska. Here, we integrate multiple [...]

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