A New Empirical Formulation of the Areal Reduction Factor for Design Rainfalls Applied to the Umbria Region in Central ItalySource: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 002::page 04024003-1Author:Alessia Flammini
,
Renato Morbidelli
,
Jacopo Dari
,
Pier Riccardo Porceddu
,
Tommaso Moramarco
,
Carla Saltalippi
DOI: 10.1061/JHYEFF.HEENG-6076Publisher: ASCE
Abstract: A reliable estimate of the areal reduction factor (ARF), useful for implementing the upscaling procedure of point rainfall information, is of crucial relevance in many hydrological applications aimed at hydraulic structures design. Despite the availability of different methodologies in the literature, the choice of the best formulation to be applied for ARF assessment in a specific region remains an open problem. In fact, the transposition of ARF formulations to areas different from those where they were developed, even with similar geographical features, could lead to incorrect ARF estimates and relevant errors in design rainfalls, especially for short durations. In this paper, a new deterministic fixed-area approach is proposed; it relies upon an averaging procedure of the ratios between areal and local annual maximum rainfalls. The proposed approach was applied to the study area of Umbria region in central Italy, where a parametric relation expressing ARF in a wide range of rainfall duration (5–2,880 min) and areas (up to about 6,100 km2) was derived. A comparison of the proposed approach with the most widely used empirical methodologies was also performed. The methodology can be adopted in any other region where a network characterized by a minimum length of rainfall time series of 7 years and a proper spatial density of stations is available.
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contributor author | Alessia Flammini | |
contributor author | Renato Morbidelli | |
contributor author | Jacopo Dari | |
contributor author | Pier Riccardo Porceddu | |
contributor author | Tommaso Moramarco | |
contributor author | Carla Saltalippi | |
date accessioned | 2024-04-27T22:51:50Z | |
date available | 2024-04-27T22:51:50Z | |
date issued | 2024/04/01 | |
identifier other | 10.1061-JHYEFF.HEENG-6076.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4297693 | |
description abstract | A reliable estimate of the areal reduction factor (ARF), useful for implementing the upscaling procedure of point rainfall information, is of crucial relevance in many hydrological applications aimed at hydraulic structures design. Despite the availability of different methodologies in the literature, the choice of the best formulation to be applied for ARF assessment in a specific region remains an open problem. In fact, the transposition of ARF formulations to areas different from those where they were developed, even with similar geographical features, could lead to incorrect ARF estimates and relevant errors in design rainfalls, especially for short durations. In this paper, a new deterministic fixed-area approach is proposed; it relies upon an averaging procedure of the ratios between areal and local annual maximum rainfalls. The proposed approach was applied to the study area of Umbria region in central Italy, where a parametric relation expressing ARF in a wide range of rainfall duration (5–2,880 min) and areas (up to about 6,100 km2) was derived. A comparison of the proposed approach with the most widely used empirical methodologies was also performed. The methodology can be adopted in any other region where a network characterized by a minimum length of rainfall time series of 7 years and a proper spatial density of stations is available. | |
publisher | ASCE | |
title | A New Empirical Formulation of the Areal Reduction Factor for Design Rainfalls Applied to the Umbria Region in Central Italy | |
type | Journal Article | |
journal volume | 29 | |
journal issue | 2 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/JHYEFF.HEENG-6076 | |
journal fristpage | 04024003-1 | |
journal lastpage | 04024003-12 | |
page | 12 | |
tree | Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 002 | |
contenttype | Fulltext |