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    Validation of SCS Method for Runoff Estimation

    Source: Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 011
    Author:
    Bofu Yu
    DOI: 10.1061/(ASCE)HE.1943-5584.0000484
    Publisher: American Society of Civil Engineers
    Abstract: The Soil Conservation Service (SCS) method is widely used to estimate runoff from small- to medium-sized watersheds. The most critical assumption of the SCS method is that the ratio of actual retention to potential retention is the same as the ratio of actual runoff to potential runoff; however, this assumption has not been empirically validated. The paper develops a framework to test this proportionality assumption that underpins the SCS method. Using data on rainfall intensity and storm runoff from 210 site events from Australia and Southeast Asian countries, this paper shows that a strong relationship exists between maximum retention on the basis of the SCS equation and the product of effective storm duration and spatially averaged maximum infiltration rate, and empirical support exists for the proportionality assumption for runoff estimation. Relating the maximum retention to the effective storm duration and maximum infiltration rate provides additional avenues for prediction of storm runoff amount and peak runoff rate, which are the key design parameters for storm water control and management.
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      Validation of SCS Method for Runoff Estimation

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    contributor authorBofu Yu
    date accessioned2017-05-08T21:49:12Z
    date available2017-05-08T21:49:12Z
    date copyrightNovember 2012
    date issued2012
    identifier other%28asce%29he%2E1943-5584%2E0000505.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63368
    description abstractThe Soil Conservation Service (SCS) method is widely used to estimate runoff from small- to medium-sized watersheds. The most critical assumption of the SCS method is that the ratio of actual retention to potential retention is the same as the ratio of actual runoff to potential runoff; however, this assumption has not been empirically validated. The paper develops a framework to test this proportionality assumption that underpins the SCS method. Using data on rainfall intensity and storm runoff from 210 site events from Australia and Southeast Asian countries, this paper shows that a strong relationship exists between maximum retention on the basis of the SCS equation and the product of effective storm duration and spatially averaged maximum infiltration rate, and empirical support exists for the proportionality assumption for runoff estimation. Relating the maximum retention to the effective storm duration and maximum infiltration rate provides additional avenues for prediction of storm runoff amount and peak runoff rate, which are the key design parameters for storm water control and management.
    publisherAmerican Society of Civil Engineers
    titleValidation of SCS Method for Runoff Estimation
    typeJournal Paper
    journal volume17
    journal issue11
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000484
    treeJournal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian