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    Critical Examination of Area Reduction Factors

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 004
    Author:
    Daniel B. Wright
    ,
    James A. Smith
    ,
    Mary Lynn Baeck
    DOI: 10.1061/(ASCE)HE.1943-5584.0000855
    Publisher: American Society of Civil Engineers
    Abstract: Area reduction factors (ARFs), which are used to convert estimates of extreme point rainfall to estimates of extreme area-averaged rainfall, are central to conventional flood risk assessment. Errors in the estimation of ARFs can result in large errors in subsequent estimates of design rainfall and discharge. This paper presents a critical examination of commonly used ARFs, particularly those from the U.S. Weather Bureau TP-29, demonstrating that they do not adequately represent the true properties of extreme rainfall. This lack of representativeness is due mainly to formulations that mix rainfall observations from different storms and different storm types. Storm catalogs developed from a 10-year high-resolution radar rainfall data are used set to estimate storm-centered ARFs for Charlotte, North Carolina. Storms are classified as either
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      Critical Examination of Area Reduction Factors

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    contributor authorDaniel B. Wright
    contributor authorJames A. Smith
    contributor authorMary Lynn Baeck
    date accessioned2017-05-08T21:50:06Z
    date available2017-05-08T21:50:06Z
    date copyrightApril 2014
    date issued2014
    identifier other%28asce%29he%2E1943-5584%2E0000888.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63750
    description abstractArea reduction factors (ARFs), which are used to convert estimates of extreme point rainfall to estimates of extreme area-averaged rainfall, are central to conventional flood risk assessment. Errors in the estimation of ARFs can result in large errors in subsequent estimates of design rainfall and discharge. This paper presents a critical examination of commonly used ARFs, particularly those from the U.S. Weather Bureau TP-29, demonstrating that they do not adequately represent the true properties of extreme rainfall. This lack of representativeness is due mainly to formulations that mix rainfall observations from different storms and different storm types. Storm catalogs developed from a 10-year high-resolution radar rainfall data are used set to estimate storm-centered ARFs for Charlotte, North Carolina. Storms are classified as either
    publisherAmerican Society of Civil Engineers
    titleCritical Examination of Area Reduction Factors
    typeJournal Paper
    journal volume19
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000855
    treeJournal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 004
    contenttypeFulltext
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