A potential controlling approach on surface ozone pollution based upon power big data.

ABSTRACT: Surface ozone pollution has attracted extensive attention with the decreasing of haze pollution, especially in China. However, it is still difficult to efficiently control the pollution in time despite numbers of reports on mechanism of ozone pollution. Here we report a method for implementing effective control of ozone pollution through power big data. Combining the observation of surface ozone, NO₂, meteorological parameters together with hourly electricity consumption data from volatile organic compounds (VOCs) emitting companies, a generalized additive model (GAM) is established for quantifying the influencing factors on the temporal and spatial distribution of surface ozone pollution from 2020 to 2021 in Anhui province, central China. The average R² value for the

SUBMITTER: Wang X 

PROVIDER: S-EPMC9086420 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature