EventsMOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed.
Published
This submission belongs to the session 09. NATMODECO-02: Nat. Prod., Molec. Sci., Develop. Sust., Environ., Eco., and Econ. Congress, Puyo, Ecuador-Porto, Portugal, 2017. of the event MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed.
Published date
20 Dec, 2017
Citation
David Quesada, Kaden Loring, Assessment of Microclimatic conditions of St. Thomas University forest, in Proceedings of MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed., 15 January–15 December 2017, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-03-05101
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Assessment of Microclimatic conditions of St. Thomas University forest

Kaden Loring 1
1. School of Science, Technology and Engineering Management, St. Thomas University, Miami Gardens, FL 33054, USA
Abstract

Urban meteorology and biometeorology have become very important fields nowadays due to the high rate of urbanization worldwide. The load created within mega-urban centers is leading to the proliferation of many respiratory problems as well as a deterioration of green areas. Motivated by this situation this project is aimed at assessing the microclimatic conditions of St. Thomas University forest and evaluates the impact of canopy on the distribution on weather parameters within and around green areas as well as the extent of dispersal of pollutants from the Palmetto Expressway as a result of automobile exhausts. Observations from both, in campus Automated Weather Station (AWS) running in partnership with Earth-Network (Weatherbug) and mobile sensors (Xplorer from PASCO) are put together and mapped based on GIS information for points of measurements. The statistical analysis was done through the software R-Studio and packages for data visualization. As a result, a full characterization of soil and atmospheric conditions within the forest was done.

Keywords
urban meteorology
biometeorology
canopy layer
weatherbug
statistical analysis
geomapping
RStudio
Poster
mol2net-03_Loring-DQ.pdf
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