Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Bayesian (1)
- Bioaccumulation (1)
- Bioindicator (1)
- Civil infrastructures (1)
- Coastal beaches (1)
-
- Degradation (1)
- Discrete Choice Modeling (1)
- Distracted driving (1)
- Driving behavior (1)
- Driving performance (1)
- Driving simulator (1)
- Energy harvesting (1)
- Fecal indicator bacteria level (1)
- Groundwater (1)
- Human factors (1)
- Hurricane (1)
- Hybrid model (1)
- Low frequency (1)
- Low rise building (1)
- Manual Intersection Control (1)
- Mesocosm (1)
- Multi-impact (1)
- Multivariate statistics (1)
- Nowcasting and Forecasting models (1)
- Oil spill (1)
- Oysters (1)
- Performance measures (1)
- Piezoelectric (1)
- Police officers (1)
- Predictive models (1)
Articles 1 - 8 of 8
Full-Text Articles in Entire DC Network
Development Of Remote Sensing Assisted Water Quality Nowcasting And Forecasting Models For Coastal Beaches, Zaihong Zhang
Development Of Remote Sensing Assisted Water Quality Nowcasting And Forecasting Models For Coastal Beaches, Zaihong Zhang
LSU Doctoral Dissertations
A remote sensing assisted water quality modeling framework is developed in this dissertation for nowcasting and forecasting recreational water quality of Holly Beach in Louisiana, USA. The modeling framework is composed of four models/systems: (1) an Artificial Neural Network (ANN) model (Model 1) and an US EPA Virtual Beach (VB) Program-based model for predicting early morning enterococci (ENT) levels in beach waters; (2) an ANN model (Model 2) and an VB model for predicting early morning Fecal Coliform (FC) levels in beach waters; (3) a remote sensing assisted modeling system (Model 3) for predicting near real time ENT levels during …
The Effects Of Concurrent Driving And In-Vehicle Tasks: A Multivariate Statistical Analysis Of Driver Distraction In A High-Fidelity Driving Simulator, Julius A. Codjoe
The Effects Of Concurrent Driving And In-Vehicle Tasks: A Multivariate Statistical Analysis Of Driver Distraction In A High-Fidelity Driving Simulator, Julius A. Codjoe
LSU Doctoral Dissertations
Distracted driving continues to remain a cause of concern for a number of bodies, including government agencies, traffic safety advocacy groups and law enforcement agencies, because of its traffic safety risks. The driving simulator continues to be popular with researchers in collecting data on performance variables that provide scientific knowledge of the effects of distracted driving. Several of these performance variables can be used to quantify a single distracting effect, resulting in a multivariate dataset. A literature review of related studies revealed that researchers overwhelmingly use univariate (single and multiple) tests to analyze the resulting dataset. Performing multiple univariate tests …
Damage Prediction Of Low-Rise Buildings Under Hurricane Winds, Fang Pan
Damage Prediction Of Low-Rise Buildings Under Hurricane Winds, Fang Pan
LSU Doctoral Dissertations
Low-rise buildings are defined as the buildings with a mean roof height less than the least horizontal dimension and less than 18.3 m in ASCE 7-10. They represent the majority of commercial, residential, and industrial buildings. Approximate 90% of the existing low-rise residential buildings are constructed as wood light-frame buildings that are not fully engineered and thus more vulnerable to extreme wind pressures, wind borne debris and rain water intrusion. The resulting hurricane-induced economic loss is primarily attributed to the insufficient performance of building envelope instead of the catastrophic failure of their main structural system for Category 1 to 4 …
Evaluation Of Triploid Oysters As A Tool To Assess Short- And Long-Term Seafood Contamination Of Oil Spill-Impacted Areas, Martin Scott Miles
Evaluation Of Triploid Oysters As A Tool To Assess Short- And Long-Term Seafood Contamination Of Oil Spill-Impacted Areas, Martin Scott Miles
LSU Doctoral Dissertations
Many of the organic components of oil have the capacity to persist in the environment, bioaccumulate in tissues, and are toxic to surrounding organisms. Since the early 1970s, environmental assessment programs have utilized bivalves as monitoring tools of chemical contaminants in the marine environment. Because of their sedentary and filter-feeding habit (bioaccumulation), mussels and oysters been employed as sentinel organisms in environmental quality monitoring studies in coastal ecosystems. The use of indigenous (diploid) bivalves for biomonitoring water quality is limited during the summer months due to high stress and changes in biochemical composition induced by reproductive development. In this work …
Piezoelectric Based Energy Harvesting On Low Frequency Vibrations Of Civil Infrastructures, Ye Zhang
Piezoelectric Based Energy Harvesting On Low Frequency Vibrations Of Civil Infrastructures, Ye Zhang
LSU Doctoral Dissertations
Piezoelectric-based energy harvesting is an efficient way to convert ambient vibration energy into usable electric energy. The piezoelectric harvester can work as a sustainable and green power source for different electric devices such as sensors and implanted medical devices. However, its application on civil infrastructures has not been fully studied yet. This dissertation aimed to study and improve the piezoelectric-based energy harvesting on civil infrastructures, especially on bridge structures. To reach the objective, a more accurate model for piezoelectric composite beams was built first, which can be adopted for the modeling of different kinds of energy harvesters. The model includes …
Polycyclic Aromatic Hydrocarbon Degradation In Tidally Influenced Coastal Marsh Wetland Studied In Laboratory Mesocosm, Doorce S. Batubara
Polycyclic Aromatic Hydrocarbon Degradation In Tidally Influenced Coastal Marsh Wetland Studied In Laboratory Mesocosm, Doorce S. Batubara
LSU Doctoral Dissertations
The compact mesocosm which was designed for a laboratory scale was used for the kinetic study of refractory organic compounds in a tidally influenced coastal marsh wetland soil. The tidal cycles were controlled pneumatically using an air chamber inside the mesocosm tank. Phenanthrene as the test compound showed that its degradation in the intertidal wetland soil was faster than that in the subtidal wetland soil. Oxygen resupply during the tidal cycles to the intertidal wetland soil would enhance the degradation. Comparison of degradation rates of phenanthrene (Phe), pyrene (Pyr), and benzo[e]pyrene (BeP) were also studied using the mesocosm. The degradation …
Analysis And Modeling Of Manual Traffic Control For Signalized Intersections, Scott Alexander Skip Parr
Analysis And Modeling Of Manual Traffic Control For Signalized Intersections, Scott Alexander Skip Parr
LSU Doctoral Dissertations
Manual traffic control is a common intersection control strategy in which trained personnel, typically police law enforcement officers, allocate intersection right-of-way to approaching vehicles. Manual intersection control is a key part of managing traffic during emergencies and planned special events. It is widely assumed that the flow of traffic through intersections can be greatly improved by the direction given from police officers who can observe and respond to change conditions by allocating green time to the approaches that require it the most. Despite the long history of manual traffic control throughout the world and its assumed effectiveness, there have been …
Bayesian Saltwater Intrusion Prediction And Remediation Design Under Uncertainty, Nima Chitsazan
Bayesian Saltwater Intrusion Prediction And Remediation Design Under Uncertainty, Nima Chitsazan
LSU Doctoral Dissertations
Groundwater resources are vital for sustainable economic and demographic developments. Reliable prediction of groundwater head and contaminant transport is necessary for sustainable management of the groundwater resources. However, the groundwater simulation models are subjected to uncertainty in their predictions. The goals of this research are to: (1) quantify the uncertainty in the groundwater model predictions and (2) investigate the impact of the quantified uncertainty on the aquifer remediation designs. To pursue the first goal, this study generalizes the Bayesian model averaging (BMA) method and introduces the hierarchical Bayesian model averaging (HBMA) method that segregates and prioritizes sources of uncertainty in …