Lee Jeongsoon, Kim Ki-Hyun, Kim Young J, Lee Jaihoon
Environment measurement Group, Korea Research Institute of Standards and Science (KRISS), Yusung Gu, Daejeon, Republic of Korea.
J Environ Manage. 2008 Mar;86(4):750-9. doi: 10.1016/j.jenvman.2006.12.044. Epub 2007 Mar 1.
A differential optical absorption spectrometer (DOAS) technique has been applied to monitor airborne trace pollutants including NO(2), SO(2), O(3), and HNO(2) in the ultraviolet (UV) region (290-350 nm) over a 1.5 km beam path (two ways) during an intensive measurement campaign held at Gwangju, Korea (March 2002). Their mean mixing ratios (and standard deviations) were computed as 11.3 (8.8), 1.9 (1.7), 17.1 (19.3), and 0.5 (0.4)ppbv, respectively. As a means to evaluate the performance of the long-path DOAS (LP-DOAS) system with conventional point monitoring systems (PMS), correlation analysis was conducted between the two data sets. These data sets were then inspected to account for the influence of the environmental conditions on the correlation strength between the two systems, especially with respect to light level and wind speed. To facilitate the comparison, correlation analyses were conducted after dividing the data sets for those parameters into several classes. The strength of the correlations between DOAS and meteorological parameters was also examined to evaluate their effects on the DOAS performance. It was found that, among the four pollutant species, O(3) is the most sensitive to changes in meteorological conditions in relation with atmospheric mixing conditions. The overall results of our study indicate that open-path monitoring techniques can be used to effectively diagnose air quality and be substituted for the conventional point monitoring methods with the proper consideration of those parameters affecting the DOAS sensitivity (e.g., light level and wind speed).
在韩国光州(2002年3月)进行的一次密集测量活动中,采用了差分光学吸收光谱仪(DOAS)技术,在1.5千米的光路(往返)上监测紫外(UV)区域(290 - 350纳米)空气中的痕量污染物,包括二氧化氮(NO₂)、二氧化硫(SO₂)、臭氧(O₃)和亚硝酸(HNO₂)。它们的平均混合比(及标准偏差)分别计算为11.3(8.8)、1.9(1.7)、17.1(19.3)和0.5(0.4)ppbv。作为评估长路径DOAS(LP - DOAS)系统与传统点监测系统(PMS)性能的一种方法,对这两组数据集进行了相关性分析。然后检查这些数据集,以考虑环境条件对两个系统之间相关强度的影响,特别是光照水平和风速方面的影响。为便于比较,在将这些参数的数据集划分为几个类别后进行了相关性分析。还检查了DOAS与气象参数之间的相关强度,以评估它们对DOAS性能的影响。结果发现,在这四种污染物中,臭氧(O₃)在与大气混合条件相关的气象条件变化方面最为敏感。我们研究的总体结果表明,开放路径监测技术可用于有效诊断空气质量,并且在适当考虑影响DOAS灵敏度的那些参数(例如光照水平和风速)的情况下,可以替代传统的点监测方法。