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Joint probability analysis of precipitation and streamflow extremes

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Date Issued:
2013
Summary:
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.
Title: Joint probability analysis of precipitation and streamflow extremes.
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Name(s): Lin, Chia-hung.
College of Engineering and Computer Science
Department of Civil, Environmental and Geomatics Engineering
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2013
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: xx, 220 p. : ill. (some col.)
Language(s): English
Summary: 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.
Identifier: 851763537 (oclc), 3360954 (digitool), FADT3360954 (IID), fau:4118 (fedora)
Note(s): 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.
Subject(s): South Florida Water Management District.
Climatic changes
Precipitation (Meterology) -- South Florida Water Management District
Streamflow -- Environmental aspects
Held by: FBoU FAUER
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/3360954
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU