摘要

Industrial parks are main sources for the fossil-fuel burning carbon dioxide (CO2) emissions. In this work we describe a monitoring and modeling study of ambient CO2 concentrations in two industrial park areas in Taiwan in 2011 and 2012. We used 1-minute high time resolution measurements to help better resolve time-varying plumes of air abundant in CO2 than the traditional one-hour average data. The inclusion of span-one and span-two CO2 calibration air traced back to the World Meteorological Organization (WMO) primary standards in the measurement system enabled us to persistently produce consistently calibrated CO2 measurements over various industrial parks. We use a small scale Lagrangian model and two-dimensional (2D) observational winds to associate ambient CO2 measurements with local emission sources. Given the closeness of our monitoring sites to the industrial parks, our 2D Lagrangian calculation can genuinely represent direction of pollution dispersion from the emission source. We focused on cases when vertical transport is weak and the emissions from the industrial parks are kept close to the surface. These much polluted cases were the targets of our 2D Lagrangian calculations. The model simulations with emissions from industrial park areas showed close resemblance between peak modeled results and observed CO2 levels at measurement sites. These comparisons revealed both the local and non-local effects on the dispersion of CO2 from industrial park areas. Our results vindicate the values of deploying high time-resolution CO2 analyzers combined with high resolution modeling to determine the relative importance of local and long-distance sources of CO2 emissions.