Storm event-based frequency analysis method

In this study, a storm event-based frequency analysis method was proposed to mitigate the limitations of conventional rainfall depth–duration–frequency (DDF) analysis. The proposed method takes the number, rainfall depth, and duration of rainstorm events into consideration and is advantageous in est...

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Main Authors: Jun, Changhyun, Qin, Xiaosheng, Tung, Yeou-Koung, De Michele, Carlo
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/141164
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1411642020-06-04T08:47:20Z Storm event-based frequency analysis method Jun, Changhyun Qin, Xiaosheng Tung, Yeou-Koung De Michele, Carlo School of Civil and Environmental Engineering Environmental Process Modelling Centre Nanyang Environment and Water Research Institute Engineering::Environmental engineering Design Rainfall Rainfall DDF In this study, a storm event-based frequency analysis method was proposed to mitigate the limitations of conventional rainfall depth–duration–frequency (DDF) analysis. The proposed method takes the number, rainfall depth, and duration of rainstorm events into consideration and is advantageous in estimation of more realistic rainfall quantiles for a given return period. For the purpose of hydraulics design, the rainfall depth thresholds are incorporated to retrieve the rainstorm events for estimating design rainfalls. The proposed method was tested against the observed rainfall data from 1961 to 2010 at Seoul, Korea and the computed rainfall quantiles were compared with those estimated using the conventional frequency analysis method. The study results indicated that the conventional method was likely to overestimate the rainfall quantiles for short rainfall durations. It represented that the conventional method could reflect rainfall characteristics of actual rainstorm events if longer durations (like 24 hours) were considered for estimation of design rainfalls. MOE (Min. of Education, S’pore) 2020-06-04T08:47:20Z 2020-06-04T08:47:20Z 2017 Journal Article Jun, C., Qin, X., Tung, Y.-K., & De Michele, C. (2018). Storm event-based frequency analysis method. Hydrology Research, 49(3), 700-710. doi:10.2166/nh.2017.175 1998-9563 https://hdl.handle.net/10356/141164 10.2166/nh.2017.175 2-s2.0-85048655802 3 49 700 710 en Hydrology Research © 2018 IWA Publishing. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Environmental engineering
Design Rainfall
Rainfall DDF
spellingShingle Engineering::Environmental engineering
Design Rainfall
Rainfall DDF
Jun, Changhyun
Qin, Xiaosheng
Tung, Yeou-Koung
De Michele, Carlo
Storm event-based frequency analysis method
description In this study, a storm event-based frequency analysis method was proposed to mitigate the limitations of conventional rainfall depth–duration–frequency (DDF) analysis. The proposed method takes the number, rainfall depth, and duration of rainstorm events into consideration and is advantageous in estimation of more realistic rainfall quantiles for a given return period. For the purpose of hydraulics design, the rainfall depth thresholds are incorporated to retrieve the rainstorm events for estimating design rainfalls. The proposed method was tested against the observed rainfall data from 1961 to 2010 at Seoul, Korea and the computed rainfall quantiles were compared with those estimated using the conventional frequency analysis method. The study results indicated that the conventional method was likely to overestimate the rainfall quantiles for short rainfall durations. It represented that the conventional method could reflect rainfall characteristics of actual rainstorm events if longer durations (like 24 hours) were considered for estimation of design rainfalls.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Jun, Changhyun
Qin, Xiaosheng
Tung, Yeou-Koung
De Michele, Carlo
format Article
author Jun, Changhyun
Qin, Xiaosheng
Tung, Yeou-Koung
De Michele, Carlo
author_sort Jun, Changhyun
title Storm event-based frequency analysis method
title_short Storm event-based frequency analysis method
title_full Storm event-based frequency analysis method
title_fullStr Storm event-based frequency analysis method
title_full_unstemmed Storm event-based frequency analysis method
title_sort storm event-based frequency analysis method
publishDate 2020
url https://hdl.handle.net/10356/141164
_version_ 1681057641610084352