A Rapid-Response Model for Facility-Level Assessment of Air Pollution and Health Impacts

To enable scientifically  targeted reductions of atmospheric pollutant emissions, policymakers require robust quantification of the impacts of facility-specific emissions on air quality and associated health benefits. In this study, we couple the chemical transport model CMAQ with the atmospheric dispersion model CALPUFF to develop a grid-scale emission–concentration rapid response framework, termed the Air-quality Intervention for Source-Directed Emission Control Model (AISEC). Using this rapid response model, we conduct a comprehensive assessment of the health burdens attributable to point-source emissions from multiple sectors, such as power plants, across the North China Plain. The results reveal pronounced facility-level heterogeneity in air quality and health impacts in the region. This study provides a computationally efficient and policy-relevant tool for prioritizing emission control strategies based on facility-specific health or other benefits.