Tesis de Ingeniería Hidráulica

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Browsing Tesis de Ingeniería Hidráulica by Author "Iza Quingatuña, Kevin Stiwart"

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    Dinámica temporal de los datos hidrológicos (Caudal), utilizando el análisis de Fourier y ondeletas (wavelets) en la cuenca del rio Toachi, Provincia de Cotopaxi.
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi: (UTC), 2024-08) Cuzco Tocumbe, Edwin Javier; Iza Quingatuña, Kevin Stiwart; Giler Ormaza, Andy Miguel
    The region is under constant threat from El Niño and La Niña weather phenomena, affecting water availability, causing heavy rains, flooding and damage to agricultural infrastructure and housing. The objective of the study is to determine the frequencies of hydrological events (flow), using the Fourier and wavelets method to understand river dynamics. For the present research project, hydrological data (flow) information was collected from the INAMHI platform for the period (1991-2013). The discrete Fourier transform was performed, which transforms from the time domain to the frequency domain to identify more precisely the dominant frequencies of the signals for stations H166, H167 and H188. A good similarity was found in exactly two peaks. The first and most pronounced peak starts at the frequency from 11 to 11.5(Events/12years) and the second peak starts at the frequency from 22.6 to 23.0(Events/12years) approximately, the higher the peak, the stronger the frequency component. On the other hand, the wavelets analysis allows identifying the dominant frequencies of the time series data being represented by means of the power spectrum, the most representative results were the significance curve for the 1-year period indicating 1 (event/year) which means annual return of rains and high flows and the 0.5 year or half year period indicating 2 (events/year) representing the existence of seasonal rainfall sources and dry seasons. The combination of both methods provides a more complete view of the temporal evolution of climatic events and their relationship with the frequencies observed in the hydrological station data in the Toachi river basin.