A Taste of Tea
Thu, 11/30/2017 - 14:49
Abstract: Originating in Southeast China, tea is one of the most consumed beverages in the world, second only to water with coffee in third. Though tea has many names, they all come from the same plant, Camellia sinensis. There’s white, yellow, green, oolong, pu-erh, and black or red tea; each has its own variants and processing methods to distinguish them. Tea has spread throughout the world and each culture took these leaves and made it their own in different ways. The journey it has taken is an interesting one with a lot of controversy, conflict, and corruption once introduced to the British Empire.
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Major: Culinary Arts, Culinary Arts and Service Management
Creating a Reliable Surveying Network: Does Adding New Survey Control Points to Paul Smith’s College Campus Enhance its Current Network?
Tue, 12/05/2017 - 18:48
Abstract: The goal of the project was to improve the current geometry of the Paul Smith’s College surveying network. Four new survey control points were added to the current network allowing for new connectivity to old control points. Previously, there was a Westside network and an Eastside network that were not connected and by connecting these two networks, it has expanded the current network further into the campus. Two different methods were used to help identify the new network. A traditional survey method, a closed traverse, was used to connect the old control points to the new control points by utilizing a Nikon DTM-352 series total station. A X90 OPUS GPS unit was used to connect the new control points into a geodetic network. After the data was collected a least squares adjustment was done to the closed traverse to correct for error within the traverse. The GPS data was processed by Topcon Tools utilizing a Continuously Operating Reference System (CORS) to obtain a better level of accuracy for the network it produced. The two different techniques used produced different results in the overall survey networks and supplied different coordinates than what has been previously used by students at the college. These results gained from the project are not of a consistent level of precision and are not recommended for use without conducting more closed traverses to increase precision within the network.
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Major: Forestry, Natural Resources Management and Policy, Surveying Technology
Wildfire Probability of Paul Smith’s College Lands
Tue, 12/05/2017 - 13:07
Abstract: For centuries, wildfires have been seen as devastating natural disasters burning homes, property and forests. For many years, man has tried to fight these fires to mitigate the damage that they do. In recent years, climate change has increased both the number of fires and the intensity at which they burn. We have developed a GIS model that incorporates factors such as slope, aspect, and land cover to determine what areas of Paul Smith’s College lands are prone to wildfires. Our goal was to find areas within the Paul Smiths College land that have a high probability for an intense wildland fire. We gathered our GIS data from online resources such as Cugir, NYS Clearing House and Earth Explorer. We then reclassified each of the data layers based on criteria determined from other scholarly papers to then use that criteria to develop our model. After running the model, we found twenty-two areas of interest also known as hot spots. We then proceeded to check five of the twenty-two hot spot areas to double-check that the characteristics that our model depicted were true hazardous areas.
Literary Rights: On
Major: Natural Resources Management and Policy
File Attachments: CapstonePaper.pdf