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Articles 1 - 30 of 33
Full-Text Articles in Physical Sciences and Mathematics
Urinalysis Test Data Analysis And Prediction, Nikhil Mhatre
Urinalysis Test Data Analysis And Prediction, Nikhil Mhatre
2024 Datathon Challenges
OUTLIERS Team submission to the Urinalysis Test Results Timed Challenge
Researched various algorithms like boosting and random forest. We learned a lot about their strength and weaknesses, and used these algorithms accordingly to solve the issues faced in the dataset.
Citdet, Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi
Citdet, Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi
Computer Science and Engineering Datasets
The CitDet dataset is composed of images captured at the USDA Agricultural Research Service Subtropical Insects and Horticulture Research Unit in Fort Pierce, FL, USA. Data was collected between October 2021 and October 2022. 579 images were captured from different sections of the orchard using the open-source application Field Book on Android tablets. While collecting images, we faced the camera in a portrait orientation directly centered on the tree of interest. All images were taken at the edge of the soil in the tree row to simulate a ground-based robot imaging the tree while moving between two rows of trees. …
Texcot22, Md Ahmed Al Muzaddid, William J. Beksi
Texcot22, Md Ahmed Al Muzaddid, William J. Beksi
Computer Science and Engineering Datasets
The TexCot22 dataset is a set of cotton crop video sequences for training and testing multi-object tracking methods. Each tracking sequence is 10 to 20 seconds in length. The dataset contains of a total of 30 sequences of which 17 are for training and the remaining 13 are for testing. Among the training sequences, 2 of them consist of roughly 5,000 annotated images, which can be used to train a cotton boll detection model. The video sequences were captured at 4K resolution and at distinct frame rates (e.g., 10, 15, 30). There are typically 2 to 10 cotton bolls per …
Phishing In The Free Waters: A Study Of Phishing Attacks Created Using Free Website Building Services, Sayak Saha Roy, Karanjit Unique, Shirin Nilizadeh
Phishing In The Free Waters: A Study Of Phishing Attacks Created Using Free Website Building Services, Sayak Saha Roy, Karanjit Unique, Shirin Nilizadeh
Computer Science and Engineering Faculty Publications
Free Website Building services (FWBs) provide individuals with a cost-effective and convenient way to create a website without requiring advanced technical knowledge or coding skills. However, malicious actors often abuse these services to host phishing websites. In this work, we propose FreePhish, a scalable framework to continuously identify phishing websites that are created using FWBs. Using FreePhish, we were able to detect and characterize more than 31.4K phishing URLs that were created using 17 unique free website builder services and shared on Twitter and Facebook over a period of six months. We find that FWBs provide attackers with several features …
Expert Knowledge-Aware Image Difference Graph Representation Learning For Difference-Aware Medical Visual Question Answering, Xinyue Hu, Lin Gu, An Qiyuan, Mengliang Zhang, Liu Liangchen, Kobayashi Kazuma, Harada Tatsuya, M. Ronald Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning For Difference-Aware Medical Visual Question Answering, Xinyue Hu, Lin Gu, An Qiyuan, Mengliang Zhang, Liu Liangchen, Kobayashi Kazuma, Harada Tatsuya, M. Ronald Summers, Yingying Zhu
Computer Science and Engineering Faculty Publications
To contribute to automating the medical vision-language model, we propose a novel Chest-Xray Difference Visual Question Answering (VQA) task. Given a pair of main and reference images, this task attempts to answer several questions on both diseases and, more importantly, the differences between them. This is consistent with the radiologist’s diagnosis practice that compares the current image with the reference before concluding the report. We collect a new dataset, namely MIMIC-Diff-VQA, including 700,703 QA pairs from 164,324 pairs of main and reference images. Compared to existing medical VQA datasets, our questions are tailored to the Assessment Diagnosis-Intervention-Evaluation treatment procedure used …
Remote Operated Human Robot Interactive System Using Hand Gestures For Persons With Disabilities, Enamul Karim, Harish Nambiappan, Sneh Acharya, Fillia Makedon
Remote Operated Human Robot Interactive System Using Hand Gestures For Persons With Disabilities, Enamul Karim, Harish Nambiappan, Sneh Acharya, Fillia Makedon
Computer Science and Engineering Faculty Publications
This paper proposes a novel Human-Robot Interactive System where users can interact with the robotic system using hand gestures, even from a distance, through a smartphone-based IoT-Controller Framework. The system is primarily designed to help people with vocal and hearing impairments. A mobile application records user gestures shown in front of a smartphone and sends the data to a server. The server performs gesture recognition and forms a command which is sent to the robotic system. The robotic system performs the required task based on the given command. The robotic system is set to carry out an object pick and …
Smartfunction: An Immersive Vr System To Assess Attention Using Embodied Cognition, Ashish Jaiswal, Aref Hebri, Pavel Hamza Reza, Zadeh Mohammad Zaki, Fillia Makedon
Smartfunction: An Immersive Vr System To Assess Attention Using Embodied Cognition, Ashish Jaiswal, Aref Hebri, Pavel Hamza Reza, Zadeh Mohammad Zaki, Fillia Makedon
Computer Science and Engineering Faculty Publications
In traditional neuropsychological tests, executive functions (EFs) are typically evaluated using paper and pencil or computer-based sit-down tasks. However, a new assessment framework, the Automated Test of Embodied Cognition (ATEC), has been developed to measure EFs and embodied cognition through physical tasks. This paper proposes integrating the ATEC system with virtual reality (VR) to evaluate and diagnose attention-deficit disorders using embodied cognition (EC) principles. The VR system will utilize Meta Quest 2 VR headsets and controllers with motion sensors to accurately capture users’ physical movements. The collected motion data will be transmitted to a remote server for evaluation through machine …
Detecting Cognitive Fatigue In Subjects With Traumatic Brain Injury From Fmri Scans Using Self-Supervised Learning, Ashish Jaiswal, Ramesh Babu Ashwin, Zadeh Mohammad Zaki, Glenn Wylie, Fillia Makedon
Detecting Cognitive Fatigue In Subjects With Traumatic Brain Injury From Fmri Scans Using Self-Supervised Learning, Ashish Jaiswal, Ramesh Babu Ashwin, Zadeh Mohammad Zaki, Glenn Wylie, Fillia Makedon
Computer Science and Engineering Faculty Publications
Understanding cognitive states from fMRI data have yet to be investigated to its full extent due to its complex nature. In this work, the problem of understanding cognitive fatigue among TBI patients has been formulated as a multi-class classification problem. We built a Spatio-temporal encoder model using convolutions and LSTMs as the building blocks to extract spatial features and to model the 4D nature of fMRI scans. To learn a better representation of the data and the condition, we used a self-supervised learning technique called "Contrastive Learning" to pretrain our encoder with a public dataset BOLD5000 and further fine-tuned our …
An Eeg-Based Cognitive Fatigue Detection System, Karim Enamul, Pavel Hamza Reza, Ashish Jaiswal, Zadeh Mohammad Zaki, Michail Theodanidis, Glenn Wylie, Fillia Makedon
An Eeg-Based Cognitive Fatigue Detection System, Karim Enamul, Pavel Hamza Reza, Ashish Jaiswal, Zadeh Mohammad Zaki, Michail Theodanidis, Glenn Wylie, Fillia Makedon
Computer Science and Engineering Faculty Publications
Mental or Cognitive fatigue (CF) is the exhaustion of the neurological system brought on by prolonged cognitive tasks. It causes performance to decline in day-to-day life. Throughout this paper, we present an experimental setup where we artificially induce cognitive fatigue to participants. During the experimental process, we collected electroencephalogram (EEG) signals from the subjects that participated in the experiment. The goal of the study is to detect the presence or absence of cognitive fatigue. Our proposed solution was able to classify cognitive fatigue of the subjects with an accuracy of 88.17%.
A Teleoperation Framework For Robots Utilizing Control Barrier Functions In Virtual Reality, Aref Hebri, Sneh Acharya, Fillia Makedon
A Teleoperation Framework For Robots Utilizing Control Barrier Functions In Virtual Reality, Aref Hebri, Sneh Acharya, Fillia Makedon
Computer Science and Engineering Faculty Publications
This paper describes a novel shared control teleoperation framework for mobile robots that utilizes Control Barrier Functions (CBFs) as filtering mechanism to prevent a human operator from making dangerous actions. The proposed framework demonstrates the potential to create a CBF controller that enables users with no prior knowledge of robotics to safely tele-navigate mobile robots with limited situational awareness. As formal methods, we utilize a hand-crafted CBF, which acts as a repulsive field to describe unsafe regions withing the robot’s vicinity. The implementation of the application was deemed possible by creating a Virtual Reality (VR) simulation in the Unity Engine …
An Rgb-D Fusion System For Indoor Wheelchair Navigation, Christos Sevastopoulos, Sneh Acharya, Fillia Makedon
An Rgb-D Fusion System For Indoor Wheelchair Navigation, Christos Sevastopoulos, Sneh Acharya, Fillia Makedon
Computer Science and Engineering Faculty Publications
We present a method for extracting high-level semantic information through successful landmark detection using feature fusion between RGB and depth information. We focus on the classification of specific labels (open path, humans, staircases, doorways, obstacles) in the encountered scene, which can be a fundamental source of information enhancing scene understanding, and acting towards the safe navigation of the mobile unit. Experiments are conducted using a manual wheelchair equipped with a stereo RGB-D camera that captures image instances consisting of multiple labels before fine-tuning on a pre-trained Vision Transformer (ViT).
Minions Fitness Tracker, Mohammad Hasibur Rahman
Minions Fitness Tracker, Mohammad Hasibur Rahman
2023 MathWorks Fitness Tracker Challenge
I made a fitness tracker that counts the steps of user using their mobile device. I made this tracker using MATLAB sensor and added the sensor path with the mobile device, the tracker would count the number of steps taken by finding peaks in acceleration data.
Mathworks Fitness Tracker, Tuan Quoc Le
Mathworks Fitness Tracker, Tuan Quoc Le
2023 MathWorks Fitness Tracker Challenge
Mobile fitness app that utilizes the sensors in mobile phone in order to determine the position, velocity, number of calories burned, and other potentially useful fitness information.
Twitter Database Health Visualization, Tor Qureshi
Twitter Database Health Visualization, Tor Qureshi
2023 IDIR Data Visualization Challenges
By utilizing the Twitter IDs and their corresponding posts in the database, we were able to create a UI that generates a graph that demonstrates a word or phrases' usage over time based on the number of times mentioned within the time span of the database (2011-2023). In the future, this could be improved by combining it with the Twitter API to monitor live trends and associations.
Pore Connectivity Influences Mass Transport In Natural Rocks: Pore Structure, Gas Diffusion And Batch Sorption Studies, Qinhong Hu
Earth & Environmental Sciences Datasets
The Excel file contains supplementary dataset, in various sheets, for a manuscript entitled "Pore connectivity influences mass transport in natural rocks: Pore structure, gas diffusion and batch sorption studies" The Word file of "Data Dictonary" briefly explained the data in each sheet of the Excel file, from different measurements as detailed in the manuscript. Authors: Xiaoqing Yuan, Qinhong Hu (maxhu@uta.edu), Xiang Lin, Chen Zhao, Qiming Wang, Yukio Tachi, Yuta Fukatsu, Shoichiro Hamamoto, Marja Siitari-Kauppia, and Xiaodong Li
Supplementary Information For "Understanding Mid-To Large Underground Leaks From Buried Pipelines As Affected By Soil And Atmospheric Conditions – Field Scale Experimental Study", Navodi J.R.R. Jayarathne, Kathleen M. Smits, Stuart N. Riddick, Daniel J. Zimmerle, Younki Cho, Michelle Schwartz, Fancy Cheptonui, Kevan Cameron, Peter Ronney
Supplementary Information For "Understanding Mid-To Large Underground Leaks From Buried Pipelines As Affected By Soil And Atmospheric Conditions – Field Scale Experimental Study", Navodi J.R.R. Jayarathne, Kathleen M. Smits, Stuart N. Riddick, Daniel J. Zimmerle, Younki Cho, Michelle Schwartz, Fancy Cheptonui, Kevan Cameron, Peter Ronney
Earth & Environmental Sciences Datasets
Reducing the amount of leaked natural gas (NG) from pipelines from production to use has become a high priority in efforts to cut anthropogenic emissions of methane and ensure public safety. However, tracking and evaluating NG pipeline leaks, especially at moderate to high flow rates, requires a better understanding of the leak from the source to the detector as well as more robust quantification methods. To better understand fugitive emissions from NG pipelines, we developed a field scale testbed that simulates mid and high-pressure gas leaks from belowground natural gas infrastructure. The system is equipped with subsurface, surface and atmospheric …
Replication Data For: Investigating Detection Probability Of Mobile Survey Solutions For Natural Gas Pipeline Leaks Under Different Atmospheric Conditions, Shanru Tian, Stuart Riddick, Younki Cho, Bell Clay, Daniel Zimmerle, Kathleen Smits
Replication Data For: Investigating Detection Probability Of Mobile Survey Solutions For Natural Gas Pipeline Leaks Under Different Atmospheric Conditions, Shanru Tian, Stuart Riddick, Younki Cho, Bell Clay, Daniel Zimmerle, Kathleen Smits
Earth & Environmental Sciences Datasets
The 2015 Paris agreement aims to cut greenhouse gas emissions and keep global temperature rise below 2 °C above pre-industrial levels. Reducing CH4 emissions from leaking pipelines presents a relatively achievable objective. While walking and driving surveys are commonly used to detect leaks, the detection probability (DP) is poorly characterized. This study aims to investigate how leak rates, survey distance and speed, and atmospheric conditions affect the DP in controlled belowground conditions with release rates of 0.5–8.5 g min−1. Results show that DP is highly influenced by survey speed, atmospheric stability, and wind speed. The average DP in Pasquill–Gifford stability …
Replication Data For: A Closer Look At Underground Natural Gas Pipeline Leaks Across The United States, Younki Cho, Kathleen M. Smits, Nathaniel L. Steadman, Bridget A. Ulrich, Clay S. Bell, Daniel J. Zimmerle
Replication Data For: A Closer Look At Underground Natural Gas Pipeline Leaks Across The United States, Younki Cho, Kathleen M. Smits, Nathaniel L. Steadman, Bridget A. Ulrich, Clay S. Bell, Daniel J. Zimmerle
Earth & Environmental Sciences Datasets
Underground natural gas (NG) pipeline leakage can result in methane (CH4) buildup and migration through the soil. What is not well understood in such scenarios is how the soil conditions affect the gas migration behavior, particularly in regard to the relative contributions of specific soil properties such as soil moisture content. The objective of this study was to investigate the effects of soil properties on CH4 concentration and migration from leaking underground NG pipelines. Site characteristics such as surface cover and spatial dimensions, soil samples, and gas concentration data were collected from over 70 gas leakage sites …
Replication Data For "Estimating Methane Emissions From Underground Natural Gas Pipelines Using An Atmospheric Dispersion-Based Method", Shanru Tian, Kathleen M. Smits, Younki Cho, Stuart Riddick, Daniel Zimmerle, Aidan Duggan
Replication Data For "Estimating Methane Emissions From Underground Natural Gas Pipelines Using An Atmospheric Dispersion-Based Method", Shanru Tian, Kathleen M. Smits, Younki Cho, Stuart Riddick, Daniel Zimmerle, Aidan Duggan
Earth & Environmental Sciences Datasets
Methane (CH4) leakage from natural gas (NG) pipelines poses an environmental, safety, and economic threat to the public. While previous leak detection and quantification studies focus on the aboveground infrastructure, the analysis of underground NG pipeline leak scenarios is scarce. Furthermore, no data from controlled release experiments have been published on the accuracy of methods used to (1) quantify emissions from an area source and (2) use these emissions to quantify the size of a subsurface leak. This proof-of-concept work uses CH4 mole fraction, as measured by a single gas sensor, as an input to a simple …
Replication Data For: Characterization Of Grain-Size Distribution, Thermal Conductivity, And Gas Diffusivity In Variably Saturated Binary Sand Mixtures, C. T.K.K. Deepagoda, Kathleen Smits
Replication Data For: Characterization Of Grain-Size Distribution, Thermal Conductivity, And Gas Diffusivity In Variably Saturated Binary Sand Mixtures, C. T.K.K. Deepagoda, Kathleen Smits
Earth & Environmental Sciences Datasets
Characterization of differently textured porous materials, as well as different volumetric porous media mixtures, in relation to mass and heat transport is vital for many engineering and research applications. Functional relations describing physical (e.g., grain-size distribution, total porosity), thermal, and gas diffusion properties of porous media and mixtures are necessary to optimize the design of porous systems that involve heat and gas transport processes. However, only a limited number of studies provide characterization of soil physical, thermal, and gas diffusion properties and the functional relationships of these properties under varying soil water contents, especially for soil mixtures, complicating optimization efforts. …
Replication Data For: Effect Of Varying Atmospheric Conditions On Methane Boundary-Layer Development In A Free Flow Domain Interfaced With A Porous Media Domain, C. T.K.K. Deepagoda, Kathleen Smits
Replication Data For: Effect Of Varying Atmospheric Conditions On Methane Boundary-Layer Development In A Free Flow Domain Interfaced With A Porous Media Domain, C. T.K.K. Deepagoda, Kathleen Smits
Earth & Environmental Sciences Datasets
Mitigation of atmospheric emission of methane from leaky underground infrastructure is important for controlling the global anthropogenic greenhouse gas burden. Overexposure to methane may also cause occupational health problems in indoor/outdoor environments at the local scale. Subsurface soil conditions (e.g. soil heterogeneity) affect methane migration in soils while near-surface atmospheric boundary conditions (e.g. wind and temperature) affect off-site emissions across the soil-atmosphere interface. This study investigated the above-surface methane concentration boundary-layer development under different soil conditions (homogenous and layered) and atmospheric boundary controls (wind and temperature). A series of controlled bench-scale experiments was conducted using an open-loop boundary-layer wind tunnel …
Replication Data For: Thermal Conductivity Of Binary Sand Mixtures Evaluated Through Full Water Content Range, Benjamin Wallen, Kathleen Smits
Replication Data For: Thermal Conductivity Of Binary Sand Mixtures Evaluated Through Full Water Content Range, Benjamin Wallen, Kathleen Smits
Earth & Environmental Sciences Datasets
A soil's grain-size distribution affects its physical and hydraulic properties; however, little is known about its effect on soil thermal properties. To better understand how grain-size distribution affects soil thermal properties, specifically the effective thermal conductivity, a set of laboratory experiments was performed using binary mixtures of two uniform sands tightly packed with seven different mixing fractions over the full range of saturation. For each binary mixture, the effective thermal conductivity, λ, capillary pressure, hc, and volumetric water content, θ, were measured. Results demonstrated that the λ–θ relationship exhibited distinct characteristics based on the percentage of fine- and coarse-grained sands. …
Replication Data For: Evaporation From Undulating Soil Surfaces Under Turbulent Airflow Through Numerical And Experimental Approaches, Bo Gao, Kathleen Smits, John Farnsworth
Replication Data For: Evaporation From Undulating Soil Surfaces Under Turbulent Airflow Through Numerical And Experimental Approaches, Bo Gao, Kathleen Smits, John Farnsworth
Earth & Environmental Sciences Datasets
Evaporation from undulating soil surfaces is rarely studied due to limited modeling theory and inadequate experimental data linking dynamic soil and atmospheric interactions. The goal of this paper is to provide exploratory insights into evaporation behavior from undulating soil surfaces under turbulent conditions through numerical and experimental approaches. A previously developed and verified coupled free flow and porous media flow model was extended by incorporating turbulent airflow through Reynolds-averaged Navier–Stokes equations. The model explicitly describes the relevant physical processes and the key properties in the free flow, porous media, and at the interface, allowing for the analysis of coupled exchange …
Replication Data For: Experimental And Numerical Study Of Evaporation From Wavy Surfaces By Coupling Free Flow And Porous Media Flow, Bo Gao, Kathleen Smits
Replication Data For: Experimental And Numerical Study Of Evaporation From Wavy Surfaces By Coupling Free Flow And Porous Media Flow, Bo Gao, Kathleen Smits
Earth & Environmental Sciences Datasets
The macroscale roughness of the soil surface has significant influences on the mass/energy interactions between the subsurface and the atmosphere during evaporation. However, most previous works only consider evaporation behavior from flat surfaces. Based on experimental and numerical approaches, the goal of this work is to provide a framework for the understanding of the mechanisms of evaporation from irregular soil surfaces at representative elementary volume scale. A coupling free flow-porous media flow model was developed to describe evaporation under nonisothermal conditions. For simplicity, sinusoidal-type wavy surfaces were considered. To validate this modeling approach, an experiment using an open-ended wind tunnel …
Replication Data For: Effect Of Subsurface Soil Moisture Variability And Atmospheric Conditions On Methane Gas Migration In Shallow Subsurface, C. T.K.K. Deepagoda, Kathleen Smits
Replication Data For: Effect Of Subsurface Soil Moisture Variability And Atmospheric Conditions On Methane Gas Migration In Shallow Subsurface, C. T.K.K. Deepagoda, Kathleen Smits
Earth & Environmental Sciences Datasets
A major concern resulting from the increased use and production of natural gas has been how to mitigate fugitive greenhouse gas emissions (predominantly methane) from natural gas infrastructure (e.g., leaky shallow pipelines). Subsurface migration and atmospheric loading of methane from pipeline leakage is controlled by source configurations and subsurface soil conditions (e.g., soil heterogeneity and soil moisture) and are further affected by atmospheric conditions (e.g., wind and temperature). However, the transport and attenuation of methane under varying subsurface and atmospheric conditions are poorly understood, making it difficult to estimate leakage fluxes from methane concentration measurements at and above the soil …
Replication Data For: Evaluation Of Model Concepts To Describe Water Transport In Shallow Subsurface Soil And Across The Soil–Air Interface, Zhen Li, Kathleen Smits
Replication Data For: Evaluation Of Model Concepts To Describe Water Transport In Shallow Subsurface Soil And Across The Soil–Air Interface, Zhen Li, Kathleen Smits
Earth & Environmental Sciences Datasets
Soil water evaporation plays a critical role in mass and energy exchanges across the land–atmosphere interface. Although much is known about this process, there is no agreement on the best modeling approaches to determine soil water evaporation due to the complexity of the numerical modeling scenarios and lack of experimental data available to validate such models. Existing studies show numerical and experimental discrepancies in the evaporation behavior and soil water distribution in soils at various scales, driving us to revisit the key process representation in subsurface soil. Therefore, the goal of this work is to test different mathematical formulations used …
Replication Data For: The Effect Of The Top Soil Layer On Moisture And Evaporation Dynamics, Zhen Li, Kathleen Smits
Replication Data For: The Effect Of The Top Soil Layer On Moisture And Evaporation Dynamics, Zhen Li, Kathleen Smits
Earth & Environmental Sciences Datasets
Understanding the effect of the top soil layer on surface evaporation and water distribution is critical to modeling hydrological systems. However, the dependency of near-surface soil moisture and fluxes on layering characteristics remains unclear. To address this uncertainty, we investigate how the arrangement of soil horizons affects the evaporation and soil moisture, specifically, the near-surface soil moisture, through the combination of numerical simulations and evaporation experiments. The characteristics of fluxes and moisture from different soil profiles are then used to understand the soil layering conditions. Results show that the top soil layer can significantly affect the evolution of soil moisture …
Replication Data For: Goehring Et Al., "The Transport History Of Alluvial Fan Sediment...", Nathan Brown
Replication Data For: Goehring Et Al., "The Transport History Of Alluvial Fan Sediment...", Nathan Brown
Earth & Environmental Sciences Datasets
This data repository contains: A) MATLAB source code B) Sample locations and chemical measurements used for Be-10 and C-14 analysis C) Dose recovery test results for luminescence protocol D) Sample locations and dosimetry information for luminescence samples.
Replication Data For: Study Of Methane Migration In The Shallow Subsurface From A Gas Pipe Leak, Kathleen Smits
Replication Data For: Study Of Methane Migration In The Shallow Subsurface From A Gas Pipe Leak, Kathleen Smits
Earth & Environmental Sciences Datasets
With the increased use of natural gas, safety and environmental concerns from underground leaking natural gas pipelines are becoming more widespread. What is not well understood in leakage incidents is how the soil conditions affect gas migration behavior, making it difficult to estimate the gas distribution. To shed light on these concerns, an increased understanding of subsurface methane migration after gas release is required to support efficient leak response and effective use of available technologies. In this study, three field-scale experiments were performed at the Methane Emission Technology Evaluation Center in Colorado State University to investigate the effect of soil …
Changes In Water Vapor Adsorption And Water Film Thickness In Clayey Materials As A Function Of Relative Humidity, Qinhong Hu
Earth & Environmental Sciences Datasets
Soil water, with adsorbed water being an important component, plays an important role in fluid flow and chemical movement in the unsaturated zone. The adsorbed water consists of water film and interlayer water, and its content is related to the relative humidity (RH). This study theoretically and experimentally focuses on the variation in adsorbed water content in clayey materials as the RH changes. Based on a slit-pore model, three types of water (water film, interlayer water, and capillary water) could be present in the water vapor adsorption process. The variation of water film is obtained from the analysis of interfacial …