Estudio biogénico de las emisiones de las especies pinus radiata, eucalyptus globulus labill y alnus acuminata en el cantón Riobamba

Air pollution is one of the biggest problems at both a global and local scale, generated by industrial production, car traffic and the use of fossil fuels, but other important sources of emissions have been ignored, such as vegetation, which represents a considerable percentage of the emissions of c...

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Библиографические подробности
Главный автор: Lucero Katherin, Carrera Ramírez (author)
Другие авторы: Marco Rubén, Cruz Carrasco (author)
Формат: bachelorThesis
Язык:spa
Опубликовано: 2019
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Online-ссылка:http://dspace.unach.edu.ec/handle/51000/5319
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Итог:Air pollution is one of the biggest problems at both a global and local scale, generated by industrial production, car traffic and the use of fossil fuels, but other important sources of emissions have been ignored, such as vegetation, which represents a considerable percentage of the emissions of chemically reactive volatile organic compounds added to the atmosphere. For this reason, the present investigation focuses on a quantification of the emissions of volatile organic compounds of natural origin produced by the forest species: Eucalyptus globulus L., Pinus radiata and Alnus acuminata, which are located within the canton Riobamba. The study includes the identification of vegetation cover in 2014 and 2017, complemented with the application of the Guenther model for the calculation of monoterpenes and other volatile organic compounds. On the other hand, the influence of meteorological variables on the concentrations of gases emitted by each species is analyzed. The mathematical calculation of emissions in the canton Riobamba has shown that Eucalyptus globulus L. records higher emissions in the years 2014-2017, followed by Pinus radiata and Alnus acuminata, these emissions are subject to the plant cover that covers each species. The analysis of volatile organic compounds in forest plantations in ambient air is directly related to the emissions represented spatially and correlated with the meteorological variables: temperature, global solar radiation and wind speed.