Least-cost control strategy optimization for air quality attainment of Beijing-Tianjin-Hebei region in China.

ABSTRACT: Control strategies can be optimized to attain air quality standards at minimal cost through selecting optimal combinations of controls on various pollutants and regional sources. In this study, we developed a module for least-cost control strategy optimization based on a real-time prediction system of the responses of pollution concentrations to emissions changes and marginal cost curves of pollutant controls. Different from other method, in this study the relationship between pollution concentrations to and precursor emissions was derived from multiple air quality simulations in which the nonlinear interactions among different precursor emissions can be well addressed. Hypothetical control pathways were designed to attain certain air quality goals for particulate matter (PM_2.5)

SUBMITTER: Xing J 

PROVIDER: S-EPMC7643752 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature