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UID:20260626T101609EDT-3855VxTl0F@132.216.98.100
DTSTAMP:20260626T141609Z
DESCRIPTION:PhD Oral Defence of Deasy Nalley\, Bioresource Engineering\n\nT
 ime series analyses performed on precipitation and streamflow data provide
  information regarding the evolution of climatic changes and variability. 
 Quantifying these changes is challenging due to unavailability of data and
  the existence of multiple periodicities in the data that may be associate
 d with large-scale climate oscillations. This thesis focuses on the develo
 pment and applications of innovative wavelet transform (WT)-based approach
 es for applications in analyzing the influence of climate oscillations on 
 streamflow and precipitation data. The precipitation and streamflow data u
 sed are obtained from stations in Canada\; the climate oscillations includ
 ed in the analysis are El Niño-Southern Oscillation (ENSO)\, the North Atl
 antic Oscillation (NAO) and the Pacific Decadal Oscillation (PDO).\n\nBy c
 ombining continuous WT\, discrete WT and non-parametric statistical approa
 ches\, this thesis demonstrates the utility and advantages of WT-based met
 hods in two main areas: 1) the multiscale influences of large-scale climat
 e oscillations (individually and simultaneously) on streamflow and precipi
 tation data\; and 2) improving the performance of several record extension
  methods by incorporating WT as a pre-processing technique. Collectively\,
  the results obtained enhance the understanding of variability in streamfl
 ow and precipitation over many areas in Canada. This is useful for improvi
 ng forecasting in operational hydrology and for sustainable management of 
 water resources as a whole.\n\nEveryone in the 91ºÚÁÏÍø community is welcome
  to attend a PhD Oral Defence. Please join us in celebrating the accomplis
 hments of our PhD candidates.\n
DTSTART:20200406T171500Z
DTEND:20200406T171500Z
LOCATION:MS2-022\, Macdonald-Stewart Building\, CA\, QC\, St Anne de Bellev
 ue\, H9X 3V9\, 21111 Lakeshore Road
SUMMARY:PhD Oral Defence: Wavelet transform-based methods to analyze variab
 ility of hydrological data
URL:/macdonald/channels/event/phd-oral-defence-wavelet
 -transform-based-methods-analyze-variability-hydrological-data-321069
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