Evaluation of a data fusion approach to estimate daily PM_2.5 levels in North China.

ABSTRACT: PM_2.5 air pollution has been a growing concern worldwide. Previous studies have conducted several techniques to estimate PM_2.5 exposure spatiotemporally in China, but all these have limitations. This study was to develop a data fusion approach and compare it with kriging and Chemistry Module. Two techniques were applied to create daily spatial cover of PM_2.5 in grid cells with a resolution of 10km in North China in 2013, respectively, which was kriging with an external drift (KED) and Weather Research and Forecast Model with Chemistry Module (WRF-Chem). A data fusion technique was developed by fusing PM_2.5 concentration predicted by KED and WRF-Chem, accounting for the distance from the central of grid cell to the nearest ground observations and

SUBMITTER: Liang F 

PROVIDER: S-EPMC5612782 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature