Prediction of Annual Precipitation over Reservoir Based on Sliding Unbiased Grey Markov Model
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    Abstract:

    In order to distinguish grey model or grey Markov model is more suitable for rainfall forecasting, grey model(GM), unbiased grey model and moving unbiased grey model were compared by taking the Caizhuang Reservoir in Shouyang County, Shanxi Province as the research object and using its 40 a rainfall data. The model with the highest precision slinding unbiased grey model was chosen and added to Markov model to generate grey Markov model and then compare it with grey model. Results showed that grey model gave a poor result for long-term prediction and highly fluctuant data. Therefore, based on grey model and Markov model, improved grey Markov model was established, which had their respective advantages and better predicting effects.

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侯翔龙,阳辉.基于滑动无偏灰色马尔科夫模型的水库年降雨量预测[J].水土保持通报英文版,2014,(3):181-184

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History
  • Received:June 14,2013
  • Revised:August 14,2013
  • Adopted:
  • Online: March 29,2016
  • Published: