Analysis of orographic precipitation on Jeju-Island using regional frequency analysis and regression

Myoung Jin Um, Hyeseon Yun, Woncheol Cho, Jun-Haeng Heo

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The orographic effect is a common phenomenon in mountainous regions. Our goal is to analyze the orographic effect with quantile by regional frequency analysis and multiple regression. Multiple regression was used to develop models to estimate the amount and the spatial distribution of orographic precipitation in mountainous terrain using elevation, latitude, longitude, duration, and return period. Multiple linear regression analysis indicated that the model using the three parameters of elevation, latitude, and longitude, produces better results than four- or five-parameter models. Therefore, multiple nonlinear forms, the combination of the intensity-duration-frequency (IDF) relationship and the general linear regression form of orographic statistics were proposed to improve the accuracy of models. The models in this study showed an increase in accuracy of 18.31~86.27%. Moreover, these models produced good results in GIS analysis and were able to represent all cases examined in this study using only a few equations, in contrast to multiple linear models.

Original languageEnglish
Pages (from-to)1461-1487
Number of pages27
JournalWater Resources Management
Volume24
Issue number7
DOIs
Publication statusPublished - 2010 May 18

Fingerprint

frequency analysis
orographic effect
Linear regression
multiple regression
return period
analysis
Regression analysis
Geographic information systems
Spatial distribution
regression analysis
GIS
Statistics
spatial distribution
parameter

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology

Cite this

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Analysis of orographic precipitation on Jeju-Island using regional frequency analysis and regression. / Um, Myoung Jin; Yun, Hyeseon; Cho, Woncheol; Heo, Jun-Haeng.

In: Water Resources Management, Vol. 24, No. 7, 18.05.2010, p. 1461-1487.

Research output: Contribution to journalArticle

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