Estimation of surface ozone concentration over Jiangsu province using a high-performance deep learning model

Author:

Mu Xi,Wang Sichen,Jiang Peng,Wu Yanlan

Publisher

Elsevier BV

Subject

General Environmental Science,General Medicine,Environmental Chemistry,Environmental Engineering

Reference52 articles.

1. Spatial and temporal data analysis with deep learning for air quality prediction;Alsaedi,2019

2. The effects of meteorology on ozone in urban areas and their use in assessing ozone trends;Camalier;Atmos. Environ.,2007

3. CNEMC (China National Environmental Monitoring Center), 2020. Urban ambient air quality. Available: http://www.cnemc.cn/. Accessed March 10, 2021.

4. CWNA, (China Weather News Agency), 2010. Climate of Jiangsu Province. Available: http://www.weather.com.cn/. Accessed March 08, 2021.

5. Tropospheric ozone over the Indian subcontinent from 2000 to 2015: data set and simulation using GEOS-Chem chemical transport model;David;Atmos. Environ.,2019

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