Ambient carbon dioxide concentrations in industrial park areas: A monitoring and modeling study

Developmental Biology

Kuo–Ying Wang²  Jia–Lin Wang¹  Wen–Tzu Liu¹ 

[1] Department of Chemistry, National Central University, Chung–Li, Taiwan$$;Department of Atmospheric Sciences, National Central University, Chung–Li, Taiwan$$

关键词: Carbon dioxide;    industrial park;    monitoring;    modeling;    emissions;   

DOI  :  10.5094/APR.2014.022

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 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.

【 授权许可】

Unknown   

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