The Resource Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe
Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe
Resource Information
The item Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Brigham Young University.This item is available to borrow from 3 library branches.
Resource Information
The item Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Brigham Young University.
This item is available to borrow from 3 library branches.
 Summary

 This research presents two approaches to determining the effects of natural variability and model uncertainty on the extents of computed floodplain boundaries. The first approach represents the floodplain boundary as a spatial map of flood probabilitieswith values between 0 and 100%. Instead of representing the floodplain boundary at a certain recurrence interval as a single line, this approach creates a spatial map that shows the probability of flooding at each point in the floodplain. This flood probability map is a useful tool for visualizing the uncertainty of a floodplain boundary. However, engineers are still required to determine a single line showing the boundary of a floodplain for flood insurance and other floodplain studies. The second approach to determining the effects of uncertainty on a floodplain boundary computes the annual exceedance probability (AEP) at each point on the floodplain. This spatial map of AEP values represents the flood inundation probability for any point on the floodplain in any given year. One can determine the floodplain boundary at any recurrence interval from this AEP map. These floodplain boundaries include natural variability and model uncertainty inherent in the modeling process. The boundary at any recurrence interval from the AEP map gives a single, definite boundary that considers uncertainty
 This research performed case studies using data from Leith Creek in North Carolina and the Virgin River in southern Utah. These case studies compared a flood probability map for a certain recurrence interval with an AEP map and demonstrated the consistency of the results from these two methods. Engineers and planners can use floodplain probability maps for viewing the uncertainty of a floodplain boundary at a certain recurrence interval. They can also use AEP maps for determining a single boundary for a certain recurrence interval that considers all the natural variability and model uncertainty inherent in the modeling process
 Language
 eng
 Label
 Floodplain risk analysis using flood probability and annual exceedance probability maps
 Title
 Floodplain risk analysis using flood probability and annual exceedance probability maps
 Statement of responsibility
 by Christopher M. Smemoe
 Subject

 Hydrology
 Hydraulic models
 Floodplains  Mathematical models
 Risk assessment
 Floodplain delineation, Hydrology, Hydraulics, Hydrologic and Hydraulic Modeling, Uncertainty, Risk Analysis, Stochastic Modeling, Rainfall, Runoff
 Electronic dissertations
 Hydraulic engineering
 Stochastic processes
 Floodplain management
 Language
 eng
 Summary

 This research presents two approaches to determining the effects of natural variability and model uncertainty on the extents of computed floodplain boundaries. The first approach represents the floodplain boundary as a spatial map of flood probabilitieswith values between 0 and 100%. Instead of representing the floodplain boundary at a certain recurrence interval as a single line, this approach creates a spatial map that shows the probability of flooding at each point in the floodplain. This flood probability map is a useful tool for visualizing the uncertainty of a floodplain boundary. However, engineers are still required to determine a single line showing the boundary of a floodplain for flood insurance and other floodplain studies. The second approach to determining the effects of uncertainty on a floodplain boundary computes the annual exceedance probability (AEP) at each point on the floodplain. This spatial map of AEP values represents the flood inundation probability for any point on the floodplain in any given year. One can determine the floodplain boundary at any recurrence interval from this AEP map. These floodplain boundaries include natural variability and model uncertainty inherent in the modeling process. The boundary at any recurrence interval from the AEP map gives a single, definite boundary that considers uncertainty
 This research performed case studies using data from Leith Creek in North Carolina and the Virgin River in southern Utah. These case studies compared a flood probability map for a certain recurrence interval with an AEP map and demonstrated the consistency of the results from these two methods. Engineers and planners can use floodplain probability maps for viewing the uncertainty of a floodplain boundary at a certain recurrence interval. They can also use AEP maps for determining a single boundary for a certain recurrence interval that considers all the natural variability and model uncertainty inherent in the modeling process
 Cataloging source
 UPB
 Degree
 Ph. D.
 Dissertation year
 2004
 Granting institution
 Brigham Young University. Dept. of Civil and Environmental Engineering
 Illustrations

 illustrations
 maps
 Index
 no index present
 Literary form
 non fiction
 Nature of contents

 bibliography
 theses
 Label
 Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe
 Bibliography note
 Includes bibliographical references (p. 223229)
 Carrier category
 volume
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type MARC source
 rdacontent
 Dimensions
 28 cm.
 Extent
 xx, 268 p.
 Media category
 unmediated
 Media MARC source
 rdamedia
 Other physical details
 ill. (some col.), maps
 System control number
 (OCoLC)ocn373724759
 Label
 Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe
 Bibliography note
 Includes bibliographical references (p. 223229)
 Carrier category
 volume
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type MARC source
 rdacontent
 Dimensions
 28 cm.
 Extent
 xx, 268 p.
 Media category
 unmediated
 Media MARC source
 rdamedia
 Other physical details
 ill. (some col.), maps
 System control number
 (OCoLC)ocn373724759
Subject
 Electronic dissertations
 Floodplain delineation, Hydrology, Hydraulics, Hydrologic and Hydraulic Modeling, Uncertainty, Risk Analysis, Stochastic Modeling, Rainfall, Runoff
 Floodplain management
 Floodplains  Mathematical models
 Hydraulic engineering
 Hydraulic models
 Hydrology
 Risk assessment
 Stochastic processes
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.lib.byu.edu/portal/Floodplainriskanalysisusingfloodprobability/8_eqqMxM0Uk/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.byu.edu/portal/Floodplainriskanalysisusingfloodprobability/8_eqqMxM0Uk/">Floodplain risk analysis using flood probability and annual exceedance probability maps, by Christopher M. Smemoe</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.byu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.byu.edu/">Brigham Young University</a></span></span></span></span></div>