| contributor author | Daniel B. Wright | |
| contributor author | James A. Smith | |
| contributor author | Mary Lynn Baeck | |
| date accessioned | 2017-05-08T21:50:06Z | |
| date available | 2017-05-08T21:50:06Z | |
| date copyright | April 2014 | |
| date issued | 2014 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000888.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63750 | |
| description 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 | |
| publisher | American Society of Civil Engineers | |
| title | Critical Examination of Area Reduction Factors | |
| type | Journal Paper | |
| journal volume | 19 | |
| journal issue | 4 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000855 | |
| tree | Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 004 | |
| contenttype | Fulltext | |
