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    Effect of Spatially Distributed Small Dams on Flood Frequency: Insights from the Soap Creek Watershed

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 007
    Author:
    Tibebu B. Ayalew
    ,
    Witold F. Krajewski
    ,
    Ricardo Mantilla
    ,
    Daniel B. Wright
    ,
    Scott J. Small
    DOI: 10.1061/(ASCE)HE.1943-5584.0001513
    Publisher: American Society of Civil Engineers
    Abstract: Dams are ubiquitous in the United States, with more than 87,000 influencing streamflow across the nation. The significant majority of these dams are small and are often ignored in real-time flood forecasting operations and at-site and regional flood frequency estimations. Even though the impacts of individual small dams on floods is often limited, the combined flood attenuation effects of a system of such dams can be significant. In this study, the authors investigate how a system of spatially distributed small dams affect flood frequency across a range of drainage basin scales using the 660-km2 Soap Creek watershed in southeastern Iowa, which contains more than 144 small dams. Results from continuous simulation of the system of small dams indicate that peak discharges reduced between 20 and 70% with the effect decreasing as the drainage area increases. This means that neglecting the effects of the system of small dams may lead to an overestimation of flood risk, which has implications in both flood frequency estimation and real-time flood forecasting. Considering that more small dams are being built across watersheds in Iowa and elsewhere in the country, the results also highlight how the peak discharge attenuation effects of these dams is an additional factor that invalidates the stationarity assumption that is used in at-site and regional flood frequency analysis.
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      Effect of Spatially Distributed Small Dams on Flood Frequency: Insights from the Soap Creek Watershed

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4239232
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    contributor authorTibebu B. Ayalew
    contributor authorWitold F. Krajewski
    contributor authorRicardo Mantilla
    contributor authorDaniel B. Wright
    contributor authorScott J. Small
    date accessioned2017-12-16T09:09:05Z
    date available2017-12-16T09:09:05Z
    date issued2017
    identifier other%28ASCE%29HE.1943-5584.0001513.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4239232
    description abstractDams are ubiquitous in the United States, with more than 87,000 influencing streamflow across the nation. The significant majority of these dams are small and are often ignored in real-time flood forecasting operations and at-site and regional flood frequency estimations. Even though the impacts of individual small dams on floods is often limited, the combined flood attenuation effects of a system of such dams can be significant. In this study, the authors investigate how a system of spatially distributed small dams affect flood frequency across a range of drainage basin scales using the 660-km2 Soap Creek watershed in southeastern Iowa, which contains more than 144 small dams. Results from continuous simulation of the system of small dams indicate that peak discharges reduced between 20 and 70% with the effect decreasing as the drainage area increases. This means that neglecting the effects of the system of small dams may lead to an overestimation of flood risk, which has implications in both flood frequency estimation and real-time flood forecasting. Considering that more small dams are being built across watersheds in Iowa and elsewhere in the country, the results also highlight how the peak discharge attenuation effects of these dams is an additional factor that invalidates the stationarity assumption that is used in at-site and regional flood frequency analysis.
    publisherAmerican Society of Civil Engineers
    titleEffect of Spatially Distributed Small Dams on Flood Frequency: Insights from the Soap Creek Watershed
    typeJournal Paper
    journal volume22
    journal issue7
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001513
    treeJournal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 007
    contenttypeFulltext
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