Prediction of SO2 concentration by RBF neural network based on principal component analysis

Qijin ZHANG; Yingying GUO; Suwen LI; Fusheng MOU

doi:10.3969/j.issn.1673-6141.2022.05.007

[1] Jin J L, Ma J Z, Lin W L, et al. MAX-DOAS measurements and satellite validation of tropospheric NO2 and SO2 vertical column densities at a rural site of North China[J]. Atmospheric Environment, 2016, 133: 12-25.

[2] Wu F C, Xie P H, Li A, et al. Investigations of temporal and spatial distribution of precursors SO2 and NO2 vertical columns in the North China Plain using mobile DOAS[J]. Atmospheric Chemistry and Physics, 2018, 18: 1535-1554.

[3] Mou F S, Luo J, Li S W, et al. Measuring vertical profile and vertical column density of SO2 in troposphere by multi-axis differential optical absorption spectroscopy[J]. Acta Optica Sinica, 2019, 39(8): 0801001.

[4] Qi H X, Guo Y Y, Mou F S, et al. Observation of HCHO before and after epidemic in Huaibei area based on MAX-DOAS[J]. Acta Photonica Sinica, 2021, 50(01): 218-226.

[5] Jing R Y, Di Y H. Correlation analysis of air pollutant index and meteorological parmeters in summer[J]. Environment Engineering, 2018, 36(8): 83-87.

[6] Park J, Chang S. A particulate matter concentration prediction model based on long short-term memory and an artificial neural network[J]. International Journal of Environmental Research and Public Health, 2021, 18(13): 6801.

[7] Luna A S, Paredes M L L, et al. Prediction of ozone concentration in tropospheric levels using artificial neural networks and support vector machine at Rio de Janeiro, Brazil[J]. Atmospheric Environment, 2014, 98: 98-104.

[8] Chen L, Ma G D. Study on wavelet analysis and neural network prediction of SO2 concentration in air[J]. Journal of Environmental Sciences, 2006, 26(9): 1553-1558.

[9] Huang H, Lan H Y, Huang Y B. A detection method of SO2 concentration based on DBN and ELM[J]. Journal of Atmospheric and Environmental Optics, 2020, 15(3): 207-216.

[10] Si Z J, Sun B S, Li X F. Prediction of air quality based on improved grey neural network model[J]. Chinese Journal of Environmental Engineering, 2013, 7(9): 3543-3547.

[11] Dong J H, Wang G Y, Yao W. Similarity analysis model of water data based on theory of PCA[J]. Environmental Engineering, 2016, 34(Sup1): 841-844.

[12] Zhang Y J. Research on PM2.5 Concentration Prediction Based on Principal Component Analysis and Neural Network[D]. Qinhuangdao: Yanshan University, 2017.

[13] Gao H S, Fu J M, Sun Y Q. Risk evaluation of fiber-optic relay protection channels based on PCA and RBF neural network[J]. Journal of North China Electric Power University (Natural Science Edition), 2007,34(5): 90-94.

[14] Zhang H. Research and Implementation of Air Pollution Monitoring and Forecasting System Based on LSTM Neural Network[D]. Xi'an: Xidian University, 2019.

[15] Miao B T, Chen F L. Applications of radius basis function neural networks in scattered data interpolation[J]. Journal of University of Science and Technology of China, 2001, 31(2): 135-142.

[16] Sun B L, Sun H, Zhang C N, et al. Forecast of air pollutant concentrations by BP neural network[J]. Journal of Environmental Sciences, 2017, 37(5): 1864-1871.

[17] Ouyang J, Wang A Z. The application of concentration forecasting of air pollutant based on BP neural network in Matlab[J]. Environmental Science and Management, 2009, 34(11): 176-180.