Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China.
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DOI: 10.1016/j.envpol.2019.05.101
Abstract: Tropospheric ozone in the surface air has become the primary atmospheric pollutant in Hangzhou, China, in recent years. Previous analysis is not enough to decode it for better regulation. Therefore, we use the traditional atmospheric… read more here.
Keywords: hangzhou china; machine learning; tropospheric ozone; traditional atmospheric ... See more keywords