Date of Award
2013
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
This thesis focuses on evaluation of joint occurrence of extreme precipitation and streamflow events at several hydrologic structures in South Florida. An analysis of twelve years storm events and their corresponding peak streamflow events during wet and dry season including annual peaks considering two seasons was performed first. Dependence analysis using time series data of precipitation and streamflow was carried out next. The analysis included use of storm events with different temporal lags from the time of occurrence of peak streamflow events. Bi-variate joint probability was found to be appropriate to analyze the joint occurrence of events. Evaluation of joint exceedence probabilities under two phases of Atlantic multidecadal oscillation (AMO) influencing south Florida was also evaluated. All methodologies are evaluated for application using observations at several structures in the case study region to provide advances and valuable insights on joint extremes of precipitation and streamflows.
Extent
xx, 220 p. : ill. (some col.)
Recommended Citation
Lin, Chia-hung., "Joint probability analysis of precipitation and streamflow extremes" (2013). Electronic Theses and Dissertations 2010 - 2019. 807.
https://digitalcommons.fau.edu/etd_general_6/807
Identifier
FADT3360954
Comments
by Chia-hung Lin.|Thesis (M.S.C.S.)--Florida Atlantic University, 2013.|Includes bibliography.|Mode of access: World Wide Web.|System requirements: Adobe Reader.|by Chia-hung Lin.