Preprints

Filtering by Subject: Environmental Engineering

Determination of Water Quality Beside the Industrial Area of Turag River in Dhaka, Bangladesh.

Harun Ar Rashid, Mozibur Rahman, Mijanur Rahman, et al.

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

Marlon Vieira Passos, Karina Barquet, Jung-Ching Kan, et al.

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

Omer Mermer, Eddie Zhang, Ibrahim Demir

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

Sahar Head El Abbadi, Jianan Feng, Abigayle Rose Hodson, et al.

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

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 [...]

Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data

Francisco Zambrano, Abel Herrera, Mauricio Olguín, et al.

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

Bekir Zahit Demiray, Omer Mermer, Özlem Baydaroğlu, et al.

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

Katrin Löer, Claudia Finger

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 [...]

On weighted ensembles of streamflow: bias correct separately and prefer constrained weights for more reliable and predictable outputs

Marko Kallio

Published: 2024-08-23
Subjects: Earth Sciences, Environmental Engineering, Hydrology, Statistical Models, Water Resource Management

It has become more and more common in hydrology to consider multiple estimates of hydrological variables – ensembles – over single model runs. Ensemble members represent different realisations of various model structures, input data, and/or parametrisations. Improved predictions can be made using weighted ensembles with wide variety of model averaging methods found in the literature, but only a [...]

How much is enough? 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 many geotechnical analyses and guidance is given in different national standards. For ambiguous reasons, the recommended required minimum sample mass (m_min) for the PSD-analyses of soils with a main component of gravel or greater is always based on equations including the soil's maximum grain diameter (D_max). We [...]

HydroSignal: Open-Source Internet of Things Information Communication Platform for Hydrological Education and Outreach

Baran Kaynak, Omer Mermer, Muhammed Yusuf Sermet, et al.

Published: 2024-07-16
Subjects: Civil and Environmental Engineering, Computer Engineering, Electrical and Computer Engineering, Engineering Education, Environmental Engineering

This study introduces HydroSignal, a low-cost, open-source platform designed to democratize hydrological monitoring by leveraging the power of Internet of Things (IoT) technology. With its web-based interface, HydroSignal aims to make vital hydrological data easily accessible to a wide range of users, including professionals, educators, and students, thereby promoting improved environmental [...]

Exploring coastal climate adaptation through storylines: Insights from Cyclone Idai in Beira, Mozambique

Henrique Moreno Dumont Goulart, Karin van der Wiel, Bart van den Hurk, et al.

Published: 2024-06-11
Subjects: Atmospheric Sciences, Climate, Earth Sciences, Environmental Engineering, Environmental Sciences, Hydraulic Engineering, Hydrology, Meteorology, Natural Resources Management and Policy, Water Resource Management

Coastal settlements, facing increasing flood risk from Tropical Cyclones (TCs) under climate change, need local and detailed climate information for effective adaptation. Analysis of historical events and their impacts provides such information. This study uses storylines to evaluate adaptation strategies, focusing on Cyclone Idai’s impact on Beira, Mozambique, under different climate [...]

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 [...]

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 [...]

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