Ontology highlight
ABSTRACT:
SUBMITTER: Zhang D
PROVIDER: S-EPMC10480617 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
Zhang Da D Wang Qingyi Q Song Shaojie S Chen Simiao S Li Mingwei M Shen Lu L Zheng Siqi S Cai Bofeng B Wang Shenhao S Zheng Haotian H
iScience 20230818 9
Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional approaches often rely on complicated chemical transport models that require extensive expertise and computational resources. In this study, we develop a machine learning framework that is able to provide precise and robust annual average fine particle (PM<sub>2.5</sub> ...[more]