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Articles 1 - 3 of 3
Full-Text Articles in Environmental Health and Protection
Seamless Lidar Surveys Reveal Rates And Patterns Of Subsidence In The Mississippi River Delta, Celeste E. Woock
Seamless Lidar Surveys Reveal Rates And Patterns Of Subsidence In The Mississippi River Delta, Celeste E. Woock
University of New Orleans Theses and Dissertations
Light Detection and Ranging (Lidar) data are used to report the temporal and spatial patterns of subsidence as well as the potential contributors to subsidence within the Barataria and Terrebonne Bays. In recent decades, subsidence in southeast Louisiana has become a topic of substantial and growing concern to the scientific community, the local residents, and all those invested in the region. Lidar data were acquired from the United States Geological Survey (USGS) and the LSU Center for Geoinformatics. The data has been manipulated to map the differenced Lidar, complete an instantaneous slope analysis, and determine the thickness of the Holocene …
Odor Monitoring At The New Orleans East Bank Wastewater Treatment Plant, Felicia R. Figinsky
Odor Monitoring At The New Orleans East Bank Wastewater Treatment Plant, Felicia R. Figinsky
University of New Orleans Theses and Dissertations
Hydrogen Sulfide is a corrosive, odorous, and hazardous gas that can cause issues for wastewater collection systems and treatment plants. When evaluating hydrogen sulfide concentrations it is important to consider the source, odor causing mechanism, and its level of toxicity. In this study, continuous hydrogen sulfide monitoring was performed for 8 locations within the New Orleans East Bank Wastewater Treatment Plant for a span of 5 months. Hot spots within the plant are located and data analysis is performed based on daily and hourly averages of hydrogen sulfide concentrations. The data was configured to show peak hydrogen sulfide concentrations at …
Statistical Partition Problem For Exponential Populations And Statistical Surveillance Of Cancers In Louisiana, Jin Gu
University of New Orleans Theses and Dissertations
In this dissertation, we consider the problem of partitioning a set of
k population with respect
to a control population. For this problem some multistage methodologies are proposed and their
properties are derived. Using the Monte Carlo simulation techniques, the small and moderate
sample size performance of the proposed procedure are studied.
We have also considered at statistical surveillance of various cancers in Louisiana.