Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005-2019.

ABSTRACT:

Background

Although short-term ozone (O3) exposure has been associated with a series of adverse health outcomes, research on the health effects of chronic O3 exposure is still limited, especially in developing countries because of the lack of long-term exposure estimates.

Objectives

The present study aimed to estimate the spatiotemporal distribution of monthly mean daily maximum 8-h average O3 concentrations in China from 2005 to 2019 at a 0.05° spatial resolution.

Methods

We developed a machine learning model with a satellite-derived boundary-layer O3 column, O3 precursors, meteorological conditions, land-use information, and proxies of anthropogenic emissions as predictors.

Results

The random, spatial, and temporal cross-validation R2 of our model were 0.87,

SUBMITTER: Zhu Q 

PROVIDER: S-EPMC8827621 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature