城市内部尺度PM<sub>2.5</sub>传输关联方法研究—以北京市为例

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Abstract Based on data driven, internal environment in city air quality monitoring sites as the research object, multiple linear correlation regression models were established for PM_2.5 concentration, wind direction, wind speed, Euclidean distance and other parameters between target stations and surrounding stations. The weight coefficients of each parameter were obtained by gradient descent algorithm, the PM_2.5 transmission contribution of surrounding stations to target stations was calculated and the feasibility of the model was evaluated. Taken Feng Tai Garden (FT) in Beijing as the target site, the results showed that the PM_2.5 concentration of FT site in 2016 was 82μg/m³, Da Xing (DX), Fang Shan (FS), Yi Zhuang (YZ), Dong Sihuan (DS), Gu Cheng (GC) and Wan Liu (WL) sites were 93, 82, 80, 79, 77和71μg/m³. The correlation between PM_2.5 concentration of FT station and WL, GC, DX and YZ of surrounding stations at the last moment was 0.634, 0.631, 0.608 and 0.601, respectively, which indicates the significantly transmitted PM_2.5 pollution to FT station. RMSE values of the four seasonal correlation regression models were 13.22, 11.74, 12.51 and 13.22, respectively. The variation trend of PM_2.5 simulated concentration was consistent with that of the monitored concentration, which verified the feasibility of the model. WL, DX, YZ and GC were the stations that contribute more to PM_2.5 pollution transmission of FT station in spring, summer, autumn and winter respectively, and their contribution values were 1.61%, 1.71%, 2.20% and 8.57%, respectively. The model results can provide a basis for the future urban planning and construction of Beijing. The proposed multiple linear correlation regression method of PM_2.5 transmission can also be used to analyze the PM_2.5 transmission correlation of other urban scales, providing a basis for the mining of PM_2.5 transmission path and accurate traceability within the city.

Key words： intra-city scale PM_2.5 multiple linear correlation regression transmission contribution

Received: 14 July 2021

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X513

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	Articles by authors
	YIN Hao
	HU Dong-mei
	YAN Yu-long
	PENG Lin
	WANG Kai
	ZHANG Ke-ke
	DENG Meng-jie

Cite this article:

YIN Hao,HU Dong-mei,YAN Yu-long等. Study on the transport correlation method of PM_2.5 at urban scale—taking Beijing as an example[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(2): 550-556.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I2/550

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