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Full-Text Articles in Social and Behavioral Sciences

Typing Tornadoes By Storm Mode In The Southeast United States, Marisa R. Karpinski Nov 2020

Typing Tornadoes By Storm Mode In The Southeast United States, Marisa R. Karpinski

LSU Master's Theses

Existing work has noted three major, radar-derived, storm modes associated with tornadoes: supercell, quasi-linear convective systems, and tropical systems. I examine the long-term frequency and seasonality of each storm mode between 1996 and 2017 in the Southeast United States. The Southeast is chosen as a focus for this work due to its well-known and unique combination of tornado vulnerability and exposure. Expanding our knowledge of the radar presentation of tornado-producing thunderstorms in this region could assist in the operational interpretation of these events. In this study, a climatology of F/EF1+ tornadoes (1996 - 2017) is generated for the study area …


Leave It To The People: Position And Positioning Of Stakeholders In Top-Down Sustainable Development And Risk Reduction Frameworks From Global To Local Levels, Bethany Bille Garfield Nov 2020

Leave It To The People: Position And Positioning Of Stakeholders In Top-Down Sustainable Development And Risk Reduction Frameworks From Global To Local Levels, Bethany Bille Garfield

LSU Doctoral Dissertations

Dissertation concerning design, contents, priorities, and outcomes of development and disaster risk reduction (DRR) global indicator frameworks. Historical review of United Nations (UN) multilateral agreements and organizational dynamics precedes analysis of indicator data reported for Sustainable Development Goal (SDG) targets shared by the 2015 Paris Agreement and Sendai Framework for Disaster Risk Reduction (SFDRR). Background on the planning of UN frameworks is considered along with results of indicator data analysis to identify actors and processes that steer the focus of frameworks hence influence selection of targets and indicators, and corresponding framework agendas. Fundamental flaws in resolution frameworks preventing global goal …


Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani Oct 2020

Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani

LSU Doctoral Dissertations

The safety of highway-railroad grade crossings (HRGC) is still an issue in the United States of America (USA). The grade crossing is where a railroad crosses a road at the same level without any over or underpass. To improve the safety of crossings, the crossings’ condition should be explored from several aspects such as engineering design (speed limit, warning signs, etc.), road condition (number of lanes, surface markings, etc.), rail design (the type of track, ballast, etc.), temporal variables (weather, visibility, time of day, lightning, etc.), social variables (population, race, etc.), and last but not least, spatial variables (the type …


Southwest Pacific Tropical Cyclone Frequency And Intensity Related To Observed And Modeled Geophysical And Aerosol Variables, Rupsa Bhowmick Jul 2020

Southwest Pacific Tropical Cyclone Frequency And Intensity Related To Observed And Modeled Geophysical And Aerosol Variables, Rupsa Bhowmick

LSU Doctoral Dissertations

The dissertation focuses on western region of Southwest Pacific Ocean (SWPO)

basin (135E - 180, and 5S - 35S) tropical cyclone (TC) climatology using observed

and modeled data. The classification-based machine learning approach

identifies the synoptic geophysical and aerosol environment favorable or unfavorable

for TC intensification and intensity change prior to landfall incorporating

observational and satellite data. A multiple poisson regression model with varying

temporal monthly lags was used to build a relationship between the number of

monthly TC days with basin wide average dust aerosol optical depth (AOD), sea

surface temperature (SST), and upper ocean temperature (UOT). This idea …


Analyzing Climate Risk To Maritime Cypress Swamps And Pine Savannas Of The Gulf Of Mexico Coastal Plain, Clay Stephens Tucker Apr 2020

Analyzing Climate Risk To Maritime Cypress Swamps And Pine Savannas Of The Gulf Of Mexico Coastal Plain, Clay Stephens Tucker

LSU Doctoral Dissertations

As sea levels rise, coastal trees are increasingly stressed by saltwater inundation, and stressed trees are ideal for studying changes in the environment through time. Dendrochronology has been used for more than a century to explain changes in past environments using tree rings. Using ring widths and stable isotopes from coastal trees, the effects of tropical cyclones and freshwater moisture availability are shown in regard to tree growth and ultimately are discussed in terms of change to the environment as a whole. Changes in tree growth as they relate to various climate parameters are measured using superposed epoch analysis, moving-window …


Automatic Features Extraction From Time Series Of Passive Microwave Images For Snowmelt Detection Using Deep-Learning – A Bidirectional Long-Short Term Memory Autoencoder (Bi-Lstm-Ae) Approach., Bienvenu Sedin Massamba Apr 2020

Automatic Features Extraction From Time Series Of Passive Microwave Images For Snowmelt Detection Using Deep-Learning – A Bidirectional Long-Short Term Memory Autoencoder (Bi-Lstm-Ae) Approach., Bienvenu Sedin Massamba

LSU Master's Theses

The Antarctic surface snowmelt is prone to the polar climate and is common in its coastal regions. With about 90 percent of the planet's glaciers, if all of the Antarctica glaciers melted, sea levels will rise about 58 meters around the planet. The development of an effective automated ice-sheet snowmelt monitoring system is therefore crucial.

Microwave remote sensing instruments, on the one hand, are very sensitive to snowmelt and can see day and night through clouds, allowing us to distinguish melting from dry snow and to better understand when, where, and for how long melting has taken place. On the …


An Atmospheric And Spatiotemporal Examination Of Lightning-Initiated Terrestrial Gamma-Ray Flashes Detected By The Fermi Satellite And Tetra Ii, Deirdre Colleen Smith Apr 2020

An Atmospheric And Spatiotemporal Examination Of Lightning-Initiated Terrestrial Gamma-Ray Flashes Detected By The Fermi Satellite And Tetra Ii, Deirdre Colleen Smith

LSU Doctoral Dissertations

Terrestrial Gamma-ray Flashes (TGFs) are sub-millisecond bursts of the highest naturally occurring light-energy found within Earth’s atmosphere. TGFs are associated with the electric fields produced in thunderstorms and are geolocated by coincident sferics from lightning strokes. Though billions of lightning strokes occur globally each year, fewer than 1,000 TGFs are detected via satellite and ground-based sensors and only a small fraction are geolocated via sferics.

To date, few studies have focused on individual thunderstorms and climates that produce TGFs. This dissertation examines TGFs from two differing data samples: 1) NASA's Fermi Gamma-Ray Burst Monitor (2013-2018) and 2) The TGF and …


Accessibility Of Hiv Testing In Baton Rouge Metropolitan Statistical Area, Alina Prigozhina Apr 2020

Accessibility Of Hiv Testing In Baton Rouge Metropolitan Statistical Area, Alina Prigozhina

LSU Master's Theses

This study examines HIV testing accessibility in the Baton Rouge Metropolitan Statistical Area (BR MSA) using the two-step floating catchment area (2SFCA) method to calculate accessibility scores for free, low-cost and all other HIV testing facilities. The two goals of this research are to apply accessibility estimation methods to HIV testing facilities, and to examine the accessibility of HIV testing facilities in the BR MSA. To achieve these goals, this study uses several research methods. The data about HIV testing providers and their locations were collected through Internet searches. By means of a fieldwork, the data were checked, revealing that …


Changing Geographies Of Flood Mitigation Policies: A Case Study Of Central, Louisiana, Ria Mukerji Mar 2020

Changing Geographies Of Flood Mitigation Policies: A Case Study Of Central, Louisiana, Ria Mukerji

LSU Master's Theses

In 2016, the Baton Rouge region experienced what would come to be record-setting precipitation levels. The 1,000 year rainfall event dumped almost triple the amount of water on Louisiana than was seen during Hurricane Katrina (some areas received over 10 inches of rain in a matter of hours), with rain persisting from August 12th until the 17th. Previously a part of Baton Rouge, Central is a relatively new development that expanded into the 100 year floodplain in 2005. This thesis will present the changing geographies of flood mitigation policies since a major flood in 1983 to the …


Spatial And Topological Analysis Of Urban Land Cover Structure In New Orleans Using Multispectral Aerial Image And Lidar Data, Shuxian Liu Jan 2020

Spatial And Topological Analysis Of Urban Land Cover Structure In New Orleans Using Multispectral Aerial Image And Lidar Data, Shuxian Liu

LSU Master's Theses

Urban land use and land cover (LULC) mapping has been one of the major applications in remote sensing of the urban environment. Land cover refers to the biophysical materials at the surface of the earth (i.e. grass, trees, soils, concrete, water), while land use indicates the socio-economic function of the land (i.e., residential, industrial, commercial land uses). This study addresses the technical issue of how to computationally infer urban land use types based on the urban land cover structures from remote sensing data. In this research, a multispectral aerial image and high-resolution LiDAR topographic data have been integrated to investigate …