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Advances in Meteorology
Volume 2017, Article ID 5019646, 17 pages
https://doi.org/10.1155/2017/5019646
Research Article

Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast

1Department of Civil Engineering, National Taiwan University, Taipei 10617, Taiwan
2Department of Civil and Water Resources Engineering, National Chiayi University, Chiayi 60004, Taiwan

Correspondence should be addressed to Nan-Jing Wu; wt.ude.uycn.liam@uwjn

Received 30 June 2016; Revised 8 January 2017; Accepted 7 February 2017; Published 21 March 2017

Academic Editor: Soni M. Pradhanang

Copyright © 2017 Fu-Ru Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Based on the factors of meteorology and topography, it is assumed that there exist some certain patterns in spatial and temporal rainfall distribution of a watershed. A typhoon rainfall forecasting model is developed under this assumption. If rainfall patterns can be analyzed and recognized in terms of individual watershed topography, only the spatial rainfall distribution prior to a specific moment is needed to forecast the rainfall in the next coming hours. It does not need any other condition in meteorology and climatology. Besides, supplement techniques of missing rainfall gage data are also considered to build an all-purpose forecast model. By integrating techniques of cluster analysis and pattern recognition, present proposed rainfall forecasting model is tested using historical data of Tamsui River Basin in Northern Taiwan. Good performance is validated by checking on coefficient of correlation and coefficient of efficiency.