Simulating Typhoon Rainfall with Artificial Neural Network
碩士 === 國立成功大學 === 水利及海洋工程學系碩博士班 === 95 === Typhoon brought abundant rainfall on its covering area along moving path. The characteristics of typhoon itself and local terrain and meteorological factors of a gage station affect the amount of rainfall. It is difficult to estimate the real-time rainfal...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/68782924427622053889 |