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Analysis of Orographic Precipitation on Jeju-Island Using Regional Frequency Analysis and Regression

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

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. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Myoung-Jin Um & Hyeseon Yun & Woncheol Cho & Jun-Haeng Heo, 2010. "Analysis of Orographic Precipitation on Jeju-Island Using Regional Frequency Analysis and Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1461-1487, May.
  • Handle: RePEc:spr:waterr:v:24:y:2010:i:7:p:1461-1487
    DOI: 10.1007/s11269-009-9509-z
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    1. Sanjay Jain & Pratap Singh & A. Saraf & S. Seth, 2003. "Estimation of Sediment Yield for a Rain, Snow and Glacier Fed River in the Western Himalayan Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(5), pages 377-393, October.
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    3. Betül Saf, 2009. "Regional Flood Frequency Analysis Using L-Moments for the West Mediterranean Region of Turkey," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 531-551, February.
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    1. Zamir Hussain, 2017. "Estimation of flood quantiles at gauged and ungauged sites of the four major rivers of Punjab, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 107-123, March.

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