Daily Emission Patterns of Coal-Fired Power Plants in China Based on Multisource Data Fusion
Nana Wu, Guannan Geng, Xinying Qin, Dan Tong, Yixuan Zheng, Yu Lei, Qiang Zhang
Abstract
, respectively, with high emissions in winter and summer caused by heating and cooling demand. Our estimates can capture sudden decreases (e.g., those associated with COVID-19 lockdowns and short-term emission controls) or increases (e.g., those related to a drought) in daily power emissions during typical socioeconomic events. We also find that weekly patterns from CEMS exhibit no obvious weekend effect compared to those in previous studies. The daily power emissions will help to improve chemical transport modeling and facilitate policy formulation.
Topics & Concepts
ChinaFusionCoal firedCoalEnvironmental sciencePower (physics)GeographyArchaeologyPhysicsLinguisticsQuantum mechanicsPhilosophyAtmospheric and Environmental Gas DynamicsAtmospheric chemistry and aerosolsAir Quality Monitoring and Forecasting