Computational Intelligence and Neuroscience / 2021 / Article / Tab 1 / Research Article
[Retracted] Analysis of Influencing Factors of PM2.5 Concentration and Design of a Pollutant Diffusion Model Based on an Artificial Neural Network in the Environment of the Internet of Vehicles Table 1 Calculation of pollutant concentration.
Pollutant types Daily average emission concentration (g/m3 ) Discharge rate (m3 /h) Average strength (g/s) C (50 m) (mg/m3 )C (500 m) (mg/m3 )C (1000 m) (mg/m3 )BC (black charcoal) 5.8 1100.0 1.77 0.7621 0.0410 6.06E − 52 CO 690.0 1200.0 230.0 99.0360 5.3286 7.88E − 50 CO2 1324.7 2500.0 919.9 396.1008 21.3121 3.15E − 49 NH3 68.6 1100.0 21.0 9.0424 0.4865 7.20E − 51 OC (organic carbon) 4.8 1100.0 1.47 0.6330 0.0341 5.04E − 52 VOC (volatile organic compounds) 895.8 3200.0 796.3 342.8797 18.4485 2.73E − 49 PMC 19.6 2700.0 14.7 6.3297 0.3406 5.04E − 51 SO2 41.0 2300.0 26.2 11.2815 0.6070 8.98E − 51 NOx (nitrogen oxide) 450.0 1200.0 150.0 64.5887 3.4752 5.14E − 50 PM2.5 46.69 2700.0 35.0 15.0707 0.8109 1.20E − 50