Abstract:

With the daily meteorological data and air quality data of Wuhan city in 2013, the comprehensive research on the characteristics and influencing factors of haze weather is conducted, and the main meteorological influence factors for haze weather are gained. Support Vector Machine is proposed for haze days visibility forecasts based on multifactor. Research shows that, in the visibility forecast for short term, the accuracy of visibility prediction, based on support vector machine model, reached 733%, 867% and 967% within the error range of ± 1 km, ± 2 km and ±3 km, respectively. 〖JP2〗Owing to the MAE within 1km, it achieved highprecision visibility forecast for haze days, and is superior to some other models. Besides, the accuracy of visibility forecasting during the first two and three days has reached 90% within the error range of ± 3 km, showing a strong capability and stable performance for longterm forecasting