Atmospheric ammonia measurements in Houston, TX using an external-cavity quantum cascade laser-based sensor

被引:59
作者
Gong, L. [1 ]
Lewicki, R. [2 ]
Griffin, R. J. [1 ]
Flynn, J. H. [3 ]
Lefer, B. L. [3 ]
Tittel, F. K. [2 ]
机构
[1] Rice Univ, Dept Civil & Environm Engn, Houston, TX 77005 USA
[2] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA
[3] Univ Houston, Dept Earth & Atmospher Sci, Houston, TX 77004 USA
基金
美国国家科学基金会;
关键词
ACIDIC AIR-POLLUTANTS; LONG-TERM; EMISSIONS; PM2.5; NH3; EXCHANGE; SULFATE; TRENDS; SITE; AREA;
D O I
10.5194/acp-11-9721-2011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to improve the current understanding of the dynamics of ammonia (NH3) in a major industrial and urban area, intensive measurements of atmospheric NH3 were conducted in Houston during two sampling periods (12 February 2010-1 March 2010 and 5 August 2010-25 September 2010). The measurements were performed with a 10.4-mu m external cavity quantum cascade laser (EC-QCL)based sensor employing conventional photo-acoustic spectroscopy. The mixing ratio of NH3 ranged from 0.1 to 8.7 ppb with a mean of 2.4 +/- 1.2 ppb in winter and ranged from 0.2 to 27.1 ppb with a mean of 3.1 +/- 2.9 ppb in summer. The larger levels in summer probably are due to higher ambient temperature. A notable morning increase and a mid-day decrease were observed in the diurnal profile of NH3 mixing ratios. Motor vehicles were found to be major contributors to the elevated levels during morning rush hours in winter. However, changes in vehicular catalytic converter performance and other local or regional emission sources from different wind directions governed the behavior of NH3 during morning rush hours in summer. There was a large amount of variability, particularly in summer, with several episodes of elevated NH3 mixing ratios that could be linked to industrial facilities. A considerable discrepancy in NH3 mixing ratios existed between weekdays and weekends. This study suggests that NH3 mixing ratios in Houston occasionally exceeded previous modeling predictions when sporadic and substantial enhancements occurred, potentially causing profound effects on particulate matter formation and local air quality.
引用
收藏
页码:9721 / 9733
页数:13
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