Dakota Bailey

This study examines surface temperature changes within an urban area that was inundated with ponded flood water for two months. The urban area is New Orleans and the flood was created by Hurricane Katrina. The size and duration of this flood can provide a test case of what temperature conditions coastal cities might encounter in the future as water levels rise and new permanent water bodies appear around them. Using Landsat 5 thermal infrared (IR) data this study looked at surface temperatures in the New Orleans urban heat island (UHI) and adjacent wetlands for two dates, slightly before the Katrina flood and during the flood. Color composite analysis and density slicing classification were used to identify and measure temperature conditions over the study area for the two dates. Temperature maps were produced, and numerical counts of different temperature levels were ascertained. During the flood, low temperature variations existed over the flooded area in comparison to the total study area, likely creating little airflow and stagnant air.

This study examines surface temperature changes within an urban area that was inundated with ponded flood water for two months. The urban area is New Orleans and the flood was created by Hurricane Katrina. The size and duration of this flood can provide a test case of what temperature conditions coastal cities might encounter in the future as water levels rise and new permanent water bodies appear around them. Using Landsat 5 thermal infrared (IR) data this study looked at surface temperatures in the New Orleans urban heat island (UHI) and adjacent wetlands for two dates, slightly before the Katrina flood and during the flood. Color composite analysis and density slicing classification were used to identify and measure temperature conditions over the study area for the two dates. Temperature maps were produced, and numerical counts of different temperature levels were ascertained. During the flood, low temperature variations existed over the flooded area in comparison to the total study area, likely creating little airflow and stagnant air.

Abstract and figures
Pyrolysis* has been implemented globally for thousands of years to generate various incinerated materials such as char. As pyrolysis developed, fast* ablative pyrolysis is one type that has been explored for producing biofuels that can be refined to produce biodiesel [Annex V].1 Ablative pyrolysis* additionally demonstrates a clean way to decompose biomass, especially compared to incineration. Further uses include the production of biochar, which can improve garden or field crop yields, and can improve the retention of water within the soil.2 The novel technological upgrades focus on catalytic upgrades, ex-situ* and in-situ*. These innovations help to further
speed up the chemical reactions that aid in the removal of oxygen that results in a higher quality product

The study area centers around a 6 million acre protected area in upstate New York known as the Adirondack State Park. Spatial data are gathered and manipulated, then input into the ArcGIS Pro suitability modeler tool to construct several wildfire ignition risk models, as well as a wildfire spread risk model. Upon comparing these ignition models, contextual conclusions are formed on areas of greatest ignition risk pertaining to the individual models. The wildfire ignition risk models are overlayed with the spread risk model, to assess which areas are most likely to facilitate initial ignition and subsequent spread. Ultimately, it appears all models may prove useful, depending on the user and the intended purpose. However, there may be room for model improvement.