Application of the Bayesian-based big data model in the analysis of the source of air pollution

WANG Lijun; ZHOU Yu; WAN Lijuan; CHENG Liangliang

doi:10.3969/j.issn.1673-6141.2023.03.004

Journals >Journal of Atmospheric and Environmental Optics >Volume 18 >Issue 3 >Page 227 > Article

Journal of Atmospheric and Environmental Optics
Vol. 18, Issue 3, 227 (2023)

Application of the Bayesian-based big data model in the analysis of the source of air pollution

WANG Lijun^*, ZHOU Yu, WAN Lijuan, and CHENG Liangliang

Author Affiliations

School of Electronic Information and Electrical Engineering, Hefei Normal University, Hefei 230601, China

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DOI: 10.3969/j.issn.1673-6141.2023.03.004 Cite this Article

Lijun WANG, Yu ZHOU, Lijuan WAN, Liangliang CHENG. Application of the Bayesian-based big data model in the analysis of the source of air pollution[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(3): 227 Copy Citation Text

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Fig. 1. 8 main influence factors to PM_2.5 and their interrelation scatter matrix

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Fig. 2. Distribution of PM_2.5 air pollution in Hefei from 2013 to 2018

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PM₁₀ concentration/(µg·m^-3)	SO₂ concentration/(µg·m^-3)	NO₂ concentration/(µg·m^-3)	CO concentration/(µg·m^-3)	O₃ concentration/(µg·m^-3)	Max temp./℃	Min temp./℃	Date number	PM_2.5 level
200	37	44	1.35	42	24	11	298	3
247	38	55	1.58	46	24	15	299	3
88	16	27	0.87	46	21	15	300	2
55	15	35	1.08	25	18	15	301	2
…	…	…	…	…	…	…	…	…

Table 1. Data collection table for weather and air quality of Hefei City from 2013 to 2018

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PM_2.5 pollution level	Number of days	Correctly recognized days	Recognition rate/%
0	376	363	96.54
1	141	125	88.65
2	38	29	76.32
3	5	3	60.00
4	2	1	50.00

Table 2. Analysis results of PM_2.5 pollution model in Hefei City

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PM_2.5 pollution level	0	1	2	3	4
0	0.97	0	0.16	0	0
1	0.03	0.89	0.03	0.40	0
2	0	0.09	0.76	0.00	0.50
3	0	0.02	0.03	0.60	0
4	0	0	0.02	0	0.50

Table 3. Confusion matrix for model analysis results

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PM_2.5pollution level	PM₁₀	SO₂	NO₂	CO	O₃	Max temp.	Min temp.	Date number
5 (Severely polluted)	0.516	0.067	0.171	0.481	-0.991	0.096	0.270	-0.115
4 (Heavily polluted)	0.234	0.173	-0.302	0.371	-1.417	-0.026	0.211	-0.050
3 (Moderated polluted)	0.262	0.137	-0.247	0.375	-1.332	0.014	0.257	-0.068
2 (Lightly polluted)	0.437	1.085	-0.124	0.097	0.157	-0.256	-0.580	0.234

Table 4. Main influence factors to PM_2.5 pollution and their partial derivatives of Mahalanobis distance

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