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Article

Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data

1
School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China
2
Hebei Collaborative Innovation Center for Aerospace Remote Sensing Information Processing and Application, Langfang 065000, China
3
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(8), 1410; https://doi.org/10.3390/rs16081410
Submission received: 4 February 2024 / Revised: 5 April 2024 / Accepted: 10 April 2024 / Published: 16 April 2024

Abstract

Atmospheric aerosols affect climate change, air quality, and human health. The aerosol optical depth (AOD) is a widely utilized parameter for estimating the concentration of atmospheric aerosols. Consequently, continuous AOD monitoring is crucial for environmental studies. However, a method to continuously monitor the AOD throughout the day or night remains a challenge. This study introduces a method for estimating the All-Day AOD using ground air quality and meteorological data. This method allows for the hourly estimation of the AOD throughout the day in the Beijing–Tianjin–Hebei (BTH) region and addresses the lack of high temporal resolution monitoring of the AOD during the nighttime. The results of the proposed All-Day AOD estimation method were validated against AOD measurements from Advanced Himawari Imager (AHI) and Aerosol Robotic Network (AERONET). The R2 between the estimated AOD and AHI was 0.855, with a root mean square error of 0.134. Two AERONET sites in BTH were selected for analysis. The results indicated that the absolute error between the estimated AOD and AERONET was within acceptable limits. The estimated AOD showed spatial and temporal trends comparable to those of AERONET and AHI. In addition, the hourly mean AOD was analyzed for each city in BTH. The hourly mean AOD in each city exhibits a smooth change at night. In conclusion, the proposed AOD estimation method offers valuable data for investigating the impact of aerosol radiative forcing and assessing its influence on climate change.
Keywords: All-Day; Aerosol Optical Depth (AOD); XGBoost; Beijing–Tianjin–Hebei region All-Day; Aerosol Optical Depth (AOD); XGBoost; Beijing–Tianjin–Hebei region

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MDPI and ACS Style

Zhang, W.; Liu, S.; Chen, X.; Mi, X.; Gu, X.; Yu, T. Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data. Remote Sens. 2024, 16, 1410. https://doi.org/10.3390/rs16081410

AMA Style

Zhang W, Liu S, Chen X, Mi X, Gu X, Yu T. Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data. Remote Sensing. 2024; 16(8):1410. https://doi.org/10.3390/rs16081410

Chicago/Turabian Style

Zhang, Wenhao, Sijia Liu, Xiaoyang Chen, Xiaofei Mi, Xingfa Gu, and Tao Yu. 2024. "Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data" Remote Sensing 16, no. 8: 1410. https://doi.org/10.3390/rs16081410

APA Style

Zhang, W., Liu, S., Chen, X., Mi, X., Gu, X., & Yu, T. (2024). Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data. Remote Sensing, 16(8), 1410. https://doi.org/10.3390/rs16081410

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