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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Three Method Tsunami Vulnerability Analysis Of The United States East Coast, Joshua Knolla
Three Method Tsunami Vulnerability Analysis Of The United States East Coast, Joshua Knolla
Master's Theses
The East Coast of the United States could be susceptible to tsunamis or even mega tsunamis. With this in mind it becomes essential to answer the question: Where is vulnerability to a tsunami greatest along the East Coast of the United States? To answer this question the following parameters have been set. First, the study will include county level subdivisions along the USEC that have coasts along the Atlantic Ocean. The possible source regions of a tsunami or mega tsunami are also noted. This analysis includes both social and physical factors with nine and five of them considered respectively. Three …
A Karst Feature Prediction Model For Prince Of Wales Island, Alaska Based On High Resolution Lidar Imagery, Alexander Lyles
A Karst Feature Prediction Model For Prince Of Wales Island, Alaska Based On High Resolution Lidar Imagery, Alexander Lyles
Master's Theses
Investigation into surface karst formation is significant to hazard prediction, hydrogeologic drainage, and land management. Southeast Alaska contains over 600,000 acres of mapped carbonate bedrock, and some of the fastest recorded karst dissolution in the world. The objectives of this study are to develop and compare multiple semi-automated models to map and delineate karst features from bare-earth LiDAR imagery using ArcGIS Desktop 10.7, and to apply a preliminary geostatistical analysis of sinkhole morphometric parameters to highlight potential spatial patterns of karst evolution on Prince of Wales Island, Alaska. A semi-automated approach of mapping karst features provides a dataset that minimizes …
A Karst Feature Predictability Model Within Barber County, Kansas, Gary M. Kelner
A Karst Feature Predictability Model Within Barber County, Kansas, Gary M. Kelner
Master's Theses
This research consisted of two topics: 1) geographic predictive models of karst features and 2), a petrographic study examining the lithology of the study area. The study area is a privately owned ranch in the Gypsum Hills of Barber County, Kansas and is known to have karst features. Two predictive models for karst features were utilized. Previously identified features, Light Detection and Ranging (LiDAR), and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery aided in the creation of these predictive models. These predictability models also used the ESRI ArcMap software platform. The data for these models consists of slope, …