A PM10 concentration level prediction model based on continuous HMM for Lanzhou city
The air pollution in Lanzhou city has caused wide public concern over the recent years.Among the factors leading to air pollution in lanzhou city, high PM10 concentration is an important one.Thus, predicting the PM10 concentration plays a particularly important role in controlling air pollution and protecting the health of people.By analyzing the relationship between PM10 concentration and meteorological conditions in Lanzhou city, this paper proposes a hidden Markov model of continuous observation (CHMM), which takes continuous meteorological condition as observations, PM10 concentration-levels as hidden states.The model selects the summer data in 2007-2010 as the training set, the summer data in 2011 as the test set.The experimental result shows that the model can precisely predict PM10 concentration-levels in most days, compared to the other two well-known prediction models.Hence, this model can be used to predict PM10 concentration-levels in Lanzhou city in summer in advance of 24 hours.
PM10 concentration-level prediction hidden Markov model of continuous observation continuous meteorological condition
Mei CHEN Yuanlin LI Xiaoyun CHEN
School of Information Science&Engineering,Lanzhou University,Lanzhou 730000,China;School of Electron School of Information Science&Engineering,Lanzhou University,Lanzhou 730000,China
国内会议
金华
英文
1-9
2015-10-30（万方平台首次上网日期，不代表论文的发表时间）