汕头市基于改进Markov链的空气质量预报模型的研究

Shantou Air Quality Forecast Model Base on the Improvement of the Markov Chains Theory

为了更有效的对汕头市空气质量进行预测,我们将基于Markov链理论的空气质量的统计预报模型进行了改进,加入了气象因素对模型进行修正,并作实例验证其可行性及准确率检验。证明了该模型具有较好的短期预测正确率,有一定的实用价值。

In order to get effective shantou air quality forecast（ AQF）,the AQF model ground on the Markov chains was improved. This meant to use the meteorological factors to modify the model with instance validating and veracity inspection. It was proved that the model was practical and had effectual short- term forecasting accuracy.