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    Lessons from Grand Forks: Planning Structural Flood Control Measures

    Source: Natural Hazards Review:;2001:;Volume ( 002 ):;issue: 001
    Author:
    L. Douglas James
    ,
    Scott F. Korom
    DOI: 10.1061/(ASCE)1527-6988(2001)2:1(22)
    Publisher: American Society of Civil Engineers
    Abstract: In the spring of 1997, the Red River Valley experienced a traumatic flood event that inundated 80% of Grand Forks, N.D., and arguably inflicted the largest economic damage per capita ever suffered by an American city and certainly far greater losses that cannot be measured in dollars. By probing what happened, this study found that the losses were made much larger by sequential surprises. For reducing surprises, integrated physically based weather-hydrologic-hydraulic modeling can quantify maximum flows and stages as well as extreme scenarios during floods in real time to provide “worst case” as well as “most probable” stages. It can also be used to structure forecasts around thresholds used in flood fighting decisions and to structure hazard mapping around optional configurations of structural measures and building patterns. It is particularly important to implement contingency planning for levee failure. Stochastic hydrologic modeling can be used to stimulate preparedness and reduce surprise.
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      Lessons from Grand Forks: Planning Structural Flood Control Measures

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    http://yetl.yabesh.ir/yetl1/handle/yetl/54645
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    contributor authorL. Douglas James
    contributor authorScott F. Korom
    date accessioned2017-05-08T21:31:17Z
    date available2017-05-08T21:31:17Z
    date copyrightFebruary 2001
    date issued2001
    identifier other%28asce%291527-6988%282001%292%3A1%2822%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/54645
    description abstractIn the spring of 1997, the Red River Valley experienced a traumatic flood event that inundated 80% of Grand Forks, N.D., and arguably inflicted the largest economic damage per capita ever suffered by an American city and certainly far greater losses that cannot be measured in dollars. By probing what happened, this study found that the losses were made much larger by sequential surprises. For reducing surprises, integrated physically based weather-hydrologic-hydraulic modeling can quantify maximum flows and stages as well as extreme scenarios during floods in real time to provide “worst case” as well as “most probable” stages. It can also be used to structure forecasts around thresholds used in flood fighting decisions and to structure hazard mapping around optional configurations of structural measures and building patterns. It is particularly important to implement contingency planning for levee failure. Stochastic hydrologic modeling can be used to stimulate preparedness and reduce surprise.
    publisherAmerican Society of Civil Engineers
    titleLessons from Grand Forks: Planning Structural Flood Control Measures
    typeJournal Paper
    journal volume2
    journal issue1
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)1527-6988(2001)2:1(22)
    treeNatural Hazards Review:;2001:;Volume ( 002 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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