Evaluation of extreme rainfall estimation obtained from NSRP model based on the objective function with statistical third moment

Hemie Cho; Yong-Tak Kim; Jae-Ung Yu; Hyun-Han Kwon

doi:10.3741/JKWRA.2022.55.7.545

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2022 Vol.55, Issue 7 Preview Page Next Page

Research Article

Evaluation of extreme rainfall estimation obtained from NSRP model based on the objective function with statistical third moment 통계적 3차 모멘트 기반의 목적함수를 이용한 NSRP 모형의 극치강우 재현능력 평가

31 July 2022. pp. 545-556

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Abstract

It is recommended to use long-term hydrometeorological data for more than the service life of the hydraulic structures and water resource planning. For the purpose of expanding rainfall data, stochastic simulation models, such as Modified Bartlett-Lewis Rectangular Pulse (BLRP) and Neyman-Scott Rectangular Pulse (NSRP) models, have been widely used. The optimal parameters of the model can be estimated by repeatedly comparing the statistical moments defined through a combination of parameters of the probability distribution in the optimization context. However, parameter estimation using relatively small observed rainfall statistics corresponds to an ill-posed problem, leading to an increase in uncertainty in the parameter estimation process. In addition, as shown in previous studies, extreme values are underestimated because objective functions are typically defined by the first and second statistical moments (i.e., mean and variance). In this regard, this study estimated the parameters of the NSRP model using the objective function with the third moment and compared it with the existing approach based on the first and second moments in terms of estimation of extreme rainfall. It was found that the first and second moments did not show a significant difference depending on whether or not the skewness was considered in the objective function. However, the proposed model showed significantly improved performance in terms of estimation of design rainfalls.

Keywords

NSRP

Extreme rainfall

Objective function

Stochastic precipitation model

Poisson process

수공구조물 설계 및 수자원 계획에서는 목표연도 이상의 수문기상자료를 활용하는 것이 추천된다. 강우 자료의 확장을 위해 추계학적 강수 모의 모형을 활용하는데, Bartlett-Lewis Rectangular Pulse Modified Model (BLRPM)과 Neyman-Scott Rectangular Pulse Model(NSRPM)이 대표적이다. 이 모형들은 확률분포의 매개변수 조합을 통해 추정되는 통계적 모멘트와 관측값의 통계적 모멘트를 반복 비교하여 최적 매개변수를 추정한다. 그러나 상대적으로 적은 관측값을 이용하여 매개변수를 추정하는 것은 부적절하게 정의된 문제(ill-posed problem)에 해당하며, 최적화 과정에서 매개변수 추정이 어려울 뿐만 아니라, 매개변수의 변동성도 매우 크다. 또한, 일부 연구에서 드러나듯이, 모형 매개변수 추정과정에서 다양한 목적함수를 활용해도 2차 모멘트에 국한되어 있어, 극치 강수량 재현에는 한계가 있다. 따라서 본 연구는 3차 모멘트를 포함한 목적함수를 활용하여 NSRPM 매개변수를 추정하고, 기존 2차 모멘트를 이용한 매개변수 접근방법과 극치강수량 재현 측면에서 비교를 수행하였다. 그 결과, 목적함수의 왜곡도 포함 여부에 따라 1, 2차 모멘트는 큰 차이를 나타내지 않았지만, 극치강우 재현 측면에서는 왜곡도를 포함한 경우가 포함하지 않은 경우보다 개선된 결과를 나타냈다.

키워드

NSRP 모형

극치강우

목적함수

추계학적 강수모형

포아송 과정

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Information

Publisher :KOREA WATER RESOURECES ASSOCIATION
Publisher(Ko) :한국수자원학회
Journal Title :Journal of Korea Water Resources Association
Journal Title(Ko) :한국수자원학회 논문집
Volume : 55
No :7
Pages :545-556
Received Date : 2022-02-03
Revised Date : 2022-06-04
Accepted Date : 2022-06-09
DOI :https://doi.org/10.3741/JKWRA.2022.55.7.545

Journal of Korea Water Resources Association ISSN:2799-8746(Print) 2799-8754(Online) 한국수자원학회 논문집

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