Maestría en Física Aplicada

Permanent URI for this collectionhttp://repositorio.uta.edu.ec/handle/123456789/34153

Browse

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Análisis del ruido natural y antropogénico del Parque Nacional Yasuní usando técnicas avanzadas de machine learning
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Física Aplicada, 2022) Velasco Castelo, Geoconda Marisela; Vásconez Vega, Christian Leonardo
    This paper addresses aspects of industrial noise produced by oil extraction facilities in the Yasun´ı National Park, located in the Ecuadorian Amazon. The acoustic sources within this type of installation influence the behaviour of wildlife, which has a negative impact on the species. The radial propagation model of acoustic wave propagation in an open field is posed through atenuation by geometric divergence, atmospheric absorption effect and scattering effects due to and ground scattering effects. The initial model without obstacles performs predictions based on an algorithm by taking an input data set and obtaining output data by developing a Machine Learning technique such as linear interpolation. And by means of an expansion of the model allows the influence of obstacles to be appreciated. The field measurements made by the research team give us information on atmospheric pressure provide us with information on atmospheric pressure, temperature, relative humidity and average sound frequency, at different distances from the sources. These data have allowed us to use the ISO 9613-1 Standard for the calculation of the absorption coefficient due to the effect of atmospheric absorption, as well as, the Nord2000 model to take into account the local flora that introduces reflection and scattering phenomena. In addition, the ground effect will include the presence of low vegetation. The results obtained will have a scientific, environmental and scientific, environmental and social impact, due to the effects of noise caused by the oil industry. Then, the results could serve as a basis for decision making in the field of environmental regulation, as well as social, with reference to indigenous communities living near oil installations.