Analysis of characteristics of air quality in Beijing-Tianjin-Hebei region based on remote sensing monitoring

Yueqi Ren

doi:10.1117/12.2667276

10 February 2023 Analysis of characteristics of air quality in Beijing-Tianjin-Hebei region based on remote sensing monitoring

Yueqi Ren

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125523I (2023) https://doi.org/10.1117/12.2667276
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

In this study, the characteristics of the air quality in current years were comprehensively analyzed according to the data between 2016 and 2020. The difference of six pollutants' concentrations within five years in Beijing, Tianjin, and Hebei were compared at the same time. The control effectiveness in three areas was evaluated. Control measures would benefit the air quality improvement, which has the potential to give advice for the area that are less effective. Furthermore, comparing the change of concentration of six major pollutants within 5 years, the effectiveness of control measures on each concentration is evaluated. Under this circumstance, we considered different factors that contribute to the result, and found their implication on future control. From this study, it was concluded that (1) The control measure between 2016 and 2020 in Beijing-Tianjin-Hebei was effective for CO₂, CO, SO₂, PM_2.5, and PM₁₀. (2) The control of ozone and nitrogen dioxide is less effective, which requires efforts to reduce vehicle emissions and VOC emissions. (3) The effectiveness among the three places is equally effective, which indicated the positive tendency should be sustained.

Citation Download Citation

Yueqi Ren "Analysis of characteristics of air quality in Beijing-Tianjin-Hebei region based on remote sensing monitoring", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125523I (10 February 2023); https://doi.org/10.1117/12.2667276

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