@InProceedings{Valenzuela:2017:MoDiAt,
               author = "Valenzuela, Gabriel Saavedra",
                title = "Modelagem da dispers{\~a}o atmosf{\'e}rica dos poluentes 
                         empregando o modelo de dispers{\~a}o gaussiano",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5155--5162",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Air pollution is still a problem in many countries around the 
                         world. The last report of air quality coming from world health 
                         organization (WHO) inform that too many cities in Brazil still 
                         have their parameters of air pollution above the WHO criteria. 
                         This paper talks about air pollution and, more specifically, 
                         describes how the pollutants are distributing near the emission 
                         source before their totally dispersion into air. The reader can 
                         find a presentation in a small scale of an atmospheric dispersion 
                         model, therefore, it will be used for the Gaussian air pollutant 
                         dispersion equation with a diesel generator as an emission source, 
                         located on the Campus Samambaia of the Federal University of 
                         Goi{\'a}s. Just for the explanation of the methodology, there 
                         will be use of NOx for pollutant emission rate and its dispersion. 
                         In addition, explanations about how to calculate emissions rates 
                         and which are the variables that needs to apply the Gaussian 
                         dispersion model like the wind data pre-process. The results are 
                         maps on how it represents different atmospheric conditions and the 
                         dispersion of the pollutants from the emission source. The graphic 
                         presentations are legible to identify who or where will be 
                         affected by the pollutants of the emission source, as well as what 
                         is the magnitude of these effects.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "61661",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4CG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4CG",
           targetfile = "61661.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}