Social and Behavioral Sciences Commons^™

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

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

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

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 …

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 …