Master of Science (MS)
First Advisor's Name
Omar I. Abdul-Aziz
First Advisor's Committee Title
Second Advisor's Name
Assefa M. Melesse
Second Advisor's Committee Title
Third Advisor's Name
Third Advisor's Committee Title
Civil Engineering, Florida, Non-parametric test, Climatic trends, Extreme precipitations
Date of Defense
This study computed trends in extreme precipitation events of Florida for 1950-2010. Hourly aggregated rainfall data from 24 stations of the National Climatic Data Centre were analyzed to derive time-series of extreme rainfalls for 12 durations, ranging from 1 hour to 7 day. Non-parametric Mann-Kendall test and Theil-Sen Approach were applied to detect the significance of trends in annual maximum rainfalls, number of above threshold events and average magnitude of above threshold events for four common analysis periods. Trend Free Pre-Whitening (TFPW) approach was applied to remove the serial correlations and bootstrap resampling approach was used to detect the field significance of trends. The results for annual maximum rainfall revealed dominant increasing trends at the statistical significance level of 0.10, especially for hourly events in longer period and daily events in recent period. The number of above threshold events exhibited strong decreasing trends for hourly durations in all time periods.
Mahjabin, Tasnuva, "Long-term Trends in Magnitude and Frequency of Extreme Rainfall Events in Florida" (2015). FIU Electronic Theses and Dissertations. 2257.
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