Accurate air quality predictions are crucial for studying health effects of pollution in China. Scientists used a model combining weather and pollution data to simulate air pollutants in China in 2013. By comparing different emission inventories, they found that combining predictions from multiple sources improved the accuracy of air quality forecasts. The ensemble predictions showed better agreement with observations for both PM2.5 and O3-1h concentrations across China. This study is the first to use multiple emission inventories for ensemble modeling in China, providing valuable information for future health studies.