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KMID : 1024519970060030205
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Journal of the Environmental Sciences
1997 Volume.6 No. 3 p.205 ~ p.211
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A Study on Multi-site Rainfall Prediction Model using Real-time Meteorological Data
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Jung Jae-Sung
Lee Jang-Choon
Park Young-Ki
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Abstract
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For the prediction of multi-site rainfall with radar data and ground meteorological data, a rainfall prediction model was proposed, which uses the neural network theory, a kind of artifical Intelligence technique. The Input layer of the prediction model was constructed with current ground meteorological data, their variation, moving vectors of rain- fall field and digital terrain of the measuring site, and the output layer was constructed with the predicted rainfall up to 3 hours. In the application of the prediction model to the Pyungchang river basin, the learning results of neural network prediction model showed more Improved results than the parameter estimation results of an existing physically based model. And the proposed model comparisonally well predicted the time distribution of ralnfall.
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KEYWORD
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rader rainfall, neural network, rainfall prediction
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