Abstract
As people pay more attention to the environment and health, P M 2.5 receives more and more consideration. Establishing a high-precision P M 2.5 concentration prediction model is of great significance for air pollutants monitoring and controlling. This paper proposed a hybrid model based on feature selection and whale optimization algorithm (WOA) for the prediction of P M 2.5 concentration. The proposed model included five modules: data preprocessing module, feature selection module, optimization module, forecasting module and evaluation module. Firstly, signal processing technology CEEMDAN-VMD (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition) is used to decompose, reconstruct, identify and select the main features of P M 2.5 concentration series in data preprocessing module. Then, AutoCorrelation Function (ACF) is used to extract the variables which have relatively large correlation with predictor, so as to select input variables according to the order of correlation coefficients. Finally, Least Squares Support Vector Machine (LSSVM) is applied to predict the hourly P M 2.5 concentration, and the parameters of LSSVM are optimized by WOA. Two experiment studies reveal that the performance of the proposed model is better than benchmark models, such as single LSSVM model with default parameters optimization, single BP neural networks (BPNN), general regression neural network (GRNN) and some other combined models recently reported.
Highlights
In recent years, with the improvement of people’s living standards, the problem of air pollution is increasing
We can conclude that our hybrid prediction model based on feature selection (SF) and whale optimization algorithm (WOA) is more suitable for PM2.5 concentration than the other seven models that do not use these techniques
The results of the newly proposed model and VCEEMDAN-SF-Least Squares Support Vector Machine (LSSVM) show that the optimization algorithm WOA has a large impact on the model prediction
Summary
With the improvement of people’s living standards, the problem of air pollution is increasing. This is especially serious in China [1,2]. A recent report by the State Environmental Protection Administration stated that two out of every five cities in China failed to meet the residential area air quality standard, resulting in the exposure of their population to the risk of adverse health effects. It is mainly from the burning of fossil fuels, such as smelting, metal processing and transportation [6,7]. It comes from the chemical reaction of NO2 , CO and SO2 in the atmosphere [8]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
