Preprints
Filtering by Subject: Environmental Engineering
Heat Vulnerability Analysis And Mapping (HEVAM): Analysis of United States power grids vulnerability to climate changes
Published: 2024-12-20
Subjects: Civil and Environmental Engineering, Electrical and Computer Engineering, Environmental Engineering, Power and Energy
The importance of the power grid under the energy sector umbrella is difficult to overstate, as it enables the function of nearly all critical infrastructure systems. The interconnected assets within electrical substations enable the function of our society and economy. With such a vast system of interconnected nodes, threats to the stability of this network come in many forms, from natural [...]
A Conversational Intelligent Assistant for Enhanced Operational Support in Floodplain Management with Multimodal Data
Published: 2024-12-19
Subjects: Artificial Intelligence and Robotics, Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Earth Sciences, Environmental Engineering, Environmental Sciences, Environmental Studies, Hydraulic Engineering, Hydrology, Water Resource Management
Floodplain management is crucial for mitigating flood risks and enhancing community resilience, yet floodplain managers often face significant challenges, including the complexity of data analysis, regulatory compliance, and effective communication with diverse stakeholders. This study introduces Floodplain Manager AI, an innovative artificial intelligence (AI) based virtual assistant designed to [...]
Situating place-based, community-engaged watershed research at Xwulqw'selu Sta'lo'
Published: 2024-12-12
Subjects: Environmental Engineering, Environmental Studies
Xwulqw'selu Sta'lo' is a culturally significant and salmon-bearing river facing significant challenges which Cowichan Tribes and the British Columbia Provincial Government are addressing with a first-of-its-kind watershed plan. Our research is deeply situated at Xwulqw'selu Sta'lo' and is grounded in interdisciplinary academic spheres of place-based research, water monitoring and modeling, [...]
Efficient Carbon Dioxide and Methane Flux Monitoring in Soil Microcosms Using an Automated Chamber with a Cartesian Robot
Published: 2024-11-29
Subjects: Civil and Environmental Engineering, Environmental Engineering, Environmental Monitoring, Environmental Sciences, Physical Sciences and Mathematics
1.Accurate measurement of carbon dioxide (CO₂) and methane (CH₄) emissions from soil is crucial for understanding carbon dynamics and developing strategies to mitigate climate change. Traditional chamber techniques and soil incubation experiments each have limitations that hinder their efficiency and accuracy. This study aims to overcome these challenges by integrating automated technologies [...]
Integration and Execution of Community Land Model Urban (CLMU) in a Containerized Environment
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
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: [...]
Design and Implementation of an Advanced Glacier Lake Outburst Flood Early Warning System (GLOF EWS) Using LoRa IoT devices
Published: 2024-11-25
Subjects: Environmental Engineering, Geotechnical Engineering, Systems and Communications
This paper describes the creation and deployment of a Disaster Early Warning System (DEWS) designed to detect Glacial Lake Outburst Floods (GLOFs). This system is a Comprehensive Integrated dIsaster pRevention Configuration (CIIRC)that has been built to withstand sub-zero temperatures and harsh weather conditions while displaying durability and resilience. GLOFs pose a significant risk to [...]
Determination of Water Quality Beside the Industrial Area of Turag River in Dhaka, Bangladesh.
Published: 2024-11-07
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering
The study deals with assessing water quality parameters including pH, total dissolved solids (TDS), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), temperature, transparency, and turbidity of the Turag River in Gazipur, Bangladesh based on the standards of the Department of Environment (DoE) in Bangladesh and the Environmental Quantity Standard (EQS). The [...]
Flood Resilience Assessment of Interconnected Critical Infrastructures
Published: 2024-11-07
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering, Environmental Sciences, Risk Analysis, Systems Engineering, Water Resource Management
Undertaking systemic risk assessments of critical infrastructures (CIs) is necessary to improve understanding, mitigate impacts, and increase resilience to cascading effects of intensifying hydrometeorological hazards. This paper presents a novel quantitative approach for simulating local physical interdependencies between multiple infrastructure sectors that may be disrupted by floods. [...]
Predicting Harmful Algal Blooms Using Ensemble Machine Learning Models and Explainable AI Technique: A Comparative Study
Published: 2024-11-01
Subjects: Engineering, Environmental Engineering
Harmful Algal Blooms (HABs), driven by environmental pollution, pose significant threats to water quality, public health, and aquatic ecosystems. This study aims to enhance the prediction of HABs in Lake Erie, part of the Great Lakes system, by utilizing ensemble machine learning (ML) models coupled with explainable artificial intelligence (XAI) for interpretability. Using water quality data from [...]
Benchmarking Greenhouse Gas Emissions from U.S. Wastewater Treatment for Targeted Reduction
Published: 2024-10-31
Subjects: Civil and Environmental Engineering, Engineering, Environmental Engineering
To assess the national climate impact of wastewater treatment and inform decarbonization, we assembled a comprehensive greenhouse gas inventory of 15,867 facilities in the contiguous United States. Considering facility location and treatment configurations, we model on-site CH4, N2O, and CO2 production, and emissions associated with energy, chemical inputs, and solids disposal. Our estimate of 42 [...]
A Simple Method for Designing Infiltration Low Impact Development Techniques Considering Effects of Urbanization and Climate Change
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 [...]
Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data
Published: 2024-10-11
Subjects: Environmental Engineering, Environmental Monitoring, Environmental Sciences, Water Resource Management
The common practice for irrigation management is to apply the water lost by evapotranspiration. However, we could manage the irrigation by monitoring the plant's water status by measuring the stem water potential (Ψs), which is currently costly and time-consuming. The primary goal of this work is to predict the daily spatial variation of Ψs using machine learning models. We measured Ψs in two [...]
Predicting Harmful Algal Blooms Using Explainable Deep Learning Models: A Comparative Study
Published: 2024-09-29
Subjects: Environmental Engineering
Harmful algal blooms (HABs) have emerged as a significant environmental challenge, impacting aquatic ecosystems, drinking water supply systems, and human health due to the combined effects of human activities and climate change. This study investigates the performance of deep learning models, particularly the Transformer model, as there are limited studies exploring its effectiveness in HAB [...]
B3AM: A beamforming toolbox for three-component ambient seismic noise analysis
Published: 2024-09-20
Subjects: Earth Sciences, Environmental Engineering, Environmental Sciences, Geotechnical Engineering
We introduce the code package B3AM for beamforming of three-component ambient noise array data, which is available for MATLAB and Python. We explain the theory behind three-component beamforming and polarisation analysis in particular, provide an overview of the workflow, and discuss the output using a worked example based on the MATLAB implementation. The strength of the presented code package [...]