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A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data.
- Source :
-
Advances in Space Research . May2022, Vol. 69 Issue 9, p3333-3349. 17p. - Publication Year :
- 2022
-
Abstract
- This paper investigates the possibility of high resolution mapping of PM2.5 concentration over Tehran city using high resolution satellite AOD (MAIAC) retrievals. For this purpose, a framework including three main stages, data preprocessing; regression modeling; and model deployment was proposed. The output of the framework was a machine learning model trained to predict PM2.5 from MAIAC AOD retrievals and meteorological data. The results of model testing revealed the efficiency and capability of the developed framework for high resolution mapping of PM2.5, which was not realized in former investigations performed over the city. Thus, this study, for the first time, realized daily, 1 km resolution mapping of PM2.5 in Tehran with R 2 around 0.74 and RMSE better than 9.0 μ g m 3 . [ABSTRACT FROM AUTHOR]
- Subjects :
- *REGRESSION analysis
*DEEP learning
*MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 02731177
- Volume :
- 69
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Advances in Space Research
- Publication Type :
- Academic Journal
- Accession number :
- 156050373
- Full Text :
- https://doi.org/10.1016/j.asr.2022.02.032