被动DOAS污染源遥测中MM5风场数据精度研究

Accuracy of MM5 Wind Field Data Based on Passive DOAS Territorial Monitoring

车载被动DOAS污染源排放测量技术近年来被广泛应用,但是烟羽高度风场数据的获取一直是个难题。开展了不同大气稳定度条件下三种风场数据的对比分析,根据Pasquill-Turner稳定度分类法,用近地面不同来源的风场实测数据考察了中尺度大气模式MM5的模拟风场数据的准确性。研究结果表明,当大气稳定度被判别为弱不稳定(C类),MM5模式输出的风速数据与地面气象站实测的风速、风廓线雷达的风速数据变化趋势一致,误差较小,但风向误差偏大,在大气稳定度判别为中性(D类)时,MM5模式输出的近地面(10 m,150 m)风速数据与地面气象站实测数据、风廓线雷达的观测数据的变化趋势一致(相关度>0.6),误差较小,盛行风向一致。因此,提出在大气稳定度在中性级别时,用MM5模式为车载被动DOAS污染源监测提供风场条件,以弥补气象实测条件受限等情况带来的数据不足。

The mobile passive DOAS measurement for emissions of pollutants is widely used recently, but the acquisitions of wind field data is always a challenge. Comparative analyses of three kinds of wind field data under different atmospheric stability conditions are carried out by Pasquill-Turner stability classification method. Comparisons were earride out between the wind field collected from two different measurements and the wind field of micro-scale atmospheric modeling with the different stability of atmosphere. Under weak instable atmospheric conditions, wind speed data of MM5 model were consistent with the wind speed data of ground from meteorological station and wind profile radar, the contrast of wind direction data has a slight error. Under neutral atmospheric condition, the wind data of MM5 （10 m, 150 m） were consistent with the observed data from weather station and wind profile radar respectively. The results show that, they have high correlativity （〉0.6）, and the error is small. Therefore, the wind field data of MM5 is used for the mobile passive DOAS measurement of emissions of pollutants under the neutral atmospheric condition, to compensate the deficiencies of data caused by constrained weather measurements.