被动DOAS污染源遥测中MM5风场数据准确性的研究

大气与环境光学学报 ›› 2012, Vol. ›› Issue (5): 338-347.

被动DOAS污染源遥测中MM5风场数据准确性的研究

杨靖文, 李昂*, 谢品华, 赵雪松, 吴丰成, 王杨

（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，合肥 230001）

收稿日期:2012-01-06 修回日期:2012-04-16 发布日期:2012-10-21
通讯作者: 杨靖文（1986-)女，安徽合肥人，硕士，主要研究方向为空气质量数值模拟. E-mail:jwyang@aiofm.ac.cn
作者简介:杨靖文（1986-)女，硕士，主要研究方向为空气质量数值模拟.
基金资助:
国家自然科学基金（40905010）、国家高技术研究发展计划（No: 2009AA063006）、省级自然科学研究重大项目(KJ2012ZD06)和安徽省自然科学基金项目(1208085MF103)资助

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

YANG Jing-wen, LI Ang*, XIE Pin-hua, ZHAO Xue-song, WU Feng-cheng, WANG Yang

（中国科学院安徽光学精密机械研究所中国科学院环境光学与技术重点实验室，合肥 230001）

Received:2012-01-06 Revised:2012-04-16 Online:2012-10-21

摘要/Abstract

摘要：

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。

关键词: MM5, 风廓线雷达, Pasquill稳定度分类法, 被动DOAS

Abstract:

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 carried 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.

Key words: MM5, wind profile radar, Pasquill stability categeries, passive DOAS

中图分类号:

P435

杨靖文李昂谢品华赵雪松吴丰成王杨. 被动DOAS污染源遥测中MM5风场数据准确性的研究[J]. 大气与环境光学学报, 2012, (5): 338-347.

YANG Jing-Wen, LI Ang, XIE Pin-Hua, ZHAO Xue-Song, WU Feng-Cheng, WANG Yang. Accuracy of MM5 Wind Field Data Based on Passive DOAS Territorial Monitoring[J]. Journal of Atmospheric and Environmental Optics, 2012, (5): 338-347.

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