Uppermost Lance and lowermost Fort Union Formation sediments are found in outcrop in the southern portion of the Jim Bridger coal field, located on the northeast flank of the Rock Springs Uplift in Sweetwater County, Wyoming. Twenty-nine surface sections and 581 subsurface (borehole) sections were evaluated and used to construct a stratigraphic model. Stratigraphic correlations with economically mineable coal seams in the Fort Union Formation north and south of the study area combined with definition of questionable local formational boundary locations are significant objectives in this investigation.

The aim of this study was to evaluate the in-service training program in the Sweetwater Public Schools, Sweetwater, Texas from 1945 to 1949; and to show that an in-service training program is a necessity in progressive schools.

The purpose of this thesis is to present a beginning program of vocational guidance through the commercial department of the small high school. Guidance, whether in the field of personality, education, health, financial, or occupational guidance, must be developed over a period of months and years. This study will deal only with the personnel, activities, and materials needed to introduce such a vocational guidance program.

On three days in March each year, the sleepy little town of Sweetwater, Texas transforms into the rattlesnake capital of the world. Snake hunters and curious tourists converge on the town of 12,000 for the Annual Sweetwater Rattlesnake Roundup. On the outside of the Nolan County Coliseum, the smell of funnel cakes and hot-dogs fills the air as vendors sell snacks and souvenirs. However the real action is inside where snakes collected from all over the state lay in piles by the thousands, waiting to be sexed, milked and ultimately killed. Through interviews and observational footage, "Snakes Alive!" explores the Sweetwater Rattlesnake Roundup, those that participate in the event, and the elements that make it an unabashed West Texas tradition.

Thesis (D. Min.)--Erskine Theological Seminary, 1995. / Abstract. Includes bibliographical references (leaves 124-131).

Thesis (D. Min.)--New Orleans Baptist Theological Seminary, 1995. / Includes abstract and vita. "October 1995." Includes bibliographical references (leaves 212-220).

A two-dimensional numerical model (RiverFLO-2D) has been enhanced to simulate flooding of urban areas by developing an innovative wet and dry surface algorithm, accounting for variable rainfall, and recoding the model computer program for parallel computing. The model formulation is based on the shallow water equations solved with an explicit time-stepping element-by-element finite element method. The dry-wet surface algorithm is based on a local approximation of the continuity and momentum equations for elements that are completely dry. This algorithm achieves global volume conservation in the finite element, even for flows over complex topographic surfaces. A new module was implemented to account for variable rainfall in space and time using NEXRAD precipitation estimates. The resulting computer code was parallelized using OpenMP Application Program Interface, which allows the model to run up to 5 times faster on multiple core computers. The model was verified with analytical solutions and validated with laboratory and field data. Model application to the Malpasset dam break and Sumacarcel flooding event show that the model accurately predicts flood wave travel times and water depths for these numerically demanding real cases. To illustrate the predictive capability of the enhanced model, an application was made of the city of Sweetwater flooding in Miami-Dade County, FL caused by the Hurricane Irene. The simulation starts with dry bed and rainfall is provided by NEXRAD estimates. Integrating NEXRAD rainfall estimates, developing a novel dry-wet area algorithm and parallelizing RiverFLO-2D code, this dissertation presents a proof of concept to accurately and efficiently predict floods in urban areas, identifying future improvements along this line of research.