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作 者:吴丰成[1] 谢品华[1] 李昂[1] 司福祺[1] 王杨[1] 刘文清[1]
机构地区:[1]中国科学院安徽光学精密机械研究所环境光学与技术重点实验室,安徽合肥230031
出 处:《光学学报》2011年第11期13-18,共6页Acta Optica Sinica
基 金:国家863计划(2009AA063006);国家自然科学基金(40905010)资助课题
摘 要:基于被动差分光学吸收光谱(DOAS)算法,使用车载被动DOAS技术在测量污染源排放通量时,由于云的多次散射影响,导致污染源排放通量的计算误差。特别对于像NO2这样的整层分布气体,由于低层云的出现造成多次散射增强使得NO2浓度显著升高,造成在计算污染源排放通量时产生较大误差。针对此问题,提出在车载DOAS污染源排放通量监测中利用O4及SO2的垂直柱浓度信息,在通量计算中对由于多次散射造成的NO2柱浓度增加进行修正。利用此方法反演了2010年10月9日上海某工业区的实验数据,修正后及修正前通量计算值分别为0.50t/h和1.49t/h。结果表明利用此方法能够修正污染源排放通量测量中多次散射引起的柱浓度显著升高影响,进一步促进了此技术在准确获取污染源排放通量上的发展及应用。A large calculation error of pollutant emission flux occurs due to the influence of multiple scattering when we utilize the mobile differential optical absorption spectroscopy (DOAS), which is based on the passive differential optical absorption spectroscopy, to measure the pollutant source. The concentration of NO2 that lies in the total layer increases significantly because of multi scattering in the lower atmospheric cloud. This results in large computing error of NO2 emission flux. To solve this problem, a new method is proposed. The information of 04 and SO2 vertical column density is employed during the measurement and then used to adjust the enhancement of NO2 due to multi scattering in the process of calculating flux. The experimental data from a certain Shanghai industrial district on Oct. 9th, 2010 is retrieved using this method. The flux value is 1. 49 t/h and 0. 5 t/h before and after correction, respectively. The results indicate that this method could effectively eliminate the influence of column density rise caused by multi scattering during the measurement. This novel method could facilitate the application of mobile DOAS on accurate measurement of emission flux from pollutant source.
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