Study on the transport correlation method of PM2.5 at urban scale—taking Beijing as an example
YIN Hao, HU Dong-mei, YAN Yu-long, PENG Lin, WANG Kai, ZHANG Ke-ke, DENG Meng-jie
Key Laboratory of Resources and Environmental System Optimization, Ministry of Education, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 transmission can also be used to analyze the PM2.5 transmission correlation of other urban scales, providing a basis for the mining of PM2.5 transmission path and accurate traceability within the city.
尹浩, 胡冬梅, 闫雨龙, 彭林, 王凯, 张可可, 邓萌杰. 城市内部尺度PM2.5传输关联方法研究—以北京市为例[J]. 中国环境科学, 2022, 42(2): 550-556.
YIN Hao, HU Dong-mei, YAN Yu-long, PENG Lin, WANG Kai, ZHANG Ke-ke, DENG Meng-jie. Study on the transport correlation method of PM2.5 at urban scale—taking Beijing as an example. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(2): 550-556.
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