Abstract
The objective of this study is to estimate an event-based model for the distribution of glaze ice and of the associated wind speed in different regions of Quebec. The available meteorological data covers periods of observations up to 21 yr at 180 stations deployed throughout the province. Four statistical distributions for ice thickness (extreme type I, extreme type II, 3-p lognormal, and log Pearson type III) are investigated. The log Pearson distribution is found to provide the best fit for the majority of the stations. Statistical analyses are also performed on the associated wind speed, the recurrence rate of icing events, and the residency period of ice. For the associated wind, 5 statistical distributions were investigated (extreme type I, extreme type II, Rayleigh, 3-p lognormal, and log Pearson type III). All 5 distributions were found to provide a good fit for the data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
