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    GIS-Based Decision Support System for Dam Break Flood Management under Uncertainty with Two-Dimensional Numerical Simulations

    Source: Journal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 004
    Author:
    Honghai Qi
    ,
    Mustafa S. Altinakar
    DOI: 10.1061/(ASCE)WR.1943-5452.0000192
    Publisher: American Society of Civil Engineers
    Abstract: A geographical information system (GIS)-based decision support system has been developed for dam-break flood management based on realistic two-dimensional flood simulations. With the ability of interacting with and using classified remote sensing (RS) image layers and other GIS feature layers like zoning layer, survey database, and census block boundaries, it can be used for flood damage calculations and loss-of-life estimations. It also provides a user-friendly interface that allows construction of user-defined criteria, such as stage-damage curves, running computations, and visualization of the results. The Monte Carlo Simulation method is used to take into account uncertainties in various variables and parameters, and event tree analysis is used to estimate the population dynamics. The analysis of a dam-break flood management strategy for Sinclair Dam in Milledgeville, Georgia is chosen as a case study to demonstrate the capabilities of the decision support system. The test results validated by HEC-RAS and HEC-FDA software indicate that this new system provides a very versatile and reliable environment for estimating various flood damage and may greatly enhance decision-making processes for future design of flood proofing facilities.
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      GIS-Based Decision Support System for Dam Break Flood Management under Uncertainty with Two-Dimensional Numerical Simulations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/70049
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    contributor authorHonghai Qi
    contributor authorMustafa S. Altinakar
    date accessioned2017-05-08T22:03:24Z
    date available2017-05-08T22:03:24Z
    date copyrightJuly 2012
    date issued2012
    identifier other%28asce%29wr%2E1943-5452%2E0000236.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70049
    description abstractA geographical information system (GIS)-based decision support system has been developed for dam-break flood management based on realistic two-dimensional flood simulations. With the ability of interacting with and using classified remote sensing (RS) image layers and other GIS feature layers like zoning layer, survey database, and census block boundaries, it can be used for flood damage calculations and loss-of-life estimations. It also provides a user-friendly interface that allows construction of user-defined criteria, such as stage-damage curves, running computations, and visualization of the results. The Monte Carlo Simulation method is used to take into account uncertainties in various variables and parameters, and event tree analysis is used to estimate the population dynamics. The analysis of a dam-break flood management strategy for Sinclair Dam in Milledgeville, Georgia is chosen as a case study to demonstrate the capabilities of the decision support system. The test results validated by HEC-RAS and HEC-FDA software indicate that this new system provides a very versatile and reliable environment for estimating various flood damage and may greatly enhance decision-making processes for future design of flood proofing facilities.
    publisherAmerican Society of Civil Engineers
    titleGIS-Based Decision Support System for Dam Break Flood Management under Uncertainty with Two-Dimensional Numerical Simulations
    typeJournal Paper
    journal volume138
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000192
    treeJournal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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