气象条件对广州地面O<SUB>3</SUB>浓度分布的影响

王雪梅; 韩志伟

气象条件对广州地面O₃浓度分布的影响

王雪梅¹,
韩志伟²

1.
中山大学环境科学系, 广东, 广州, 510275
2.
中国科学院大气物理研究所, 北京, 100029

基金项目: 中国科学院“九·五”熏大项目(KZ952-A1-403)资助

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- 被引次数: 0
出版历程
- 收稿日期: 2003-05-12
- 修回日期: 2003-06-18

SURFACE OZONE CONCENTRATION IN GUANGZHOU UNDER DIFFERENT METEOROLOGICAL CONDITIONS

WANG Xue-mei¹,
HAN Zhi-wei²

1.
Dept. of Environmental Science, Zhongshan University, Guangzhou 510275, China
2.
Institute of Atmospheric Physics, Beijing 100029, China

摘要

摘要: 根据大量T106观测资料,统计出东亚地区影响广州天气的两大环流型,一类是偏西气流,另一类是偏东南气流,并在这两类天气类型环流型下利用Eta模式和中-β气象预报模式对广州流场进行模拟研究,得到影响广州地区的局地环流主要有三类:辐合气流型、辐散气流型和热岛型。选择典型的局地环流气象场作为高分辨化学模式的输入场,模拟得到不同气象条件下广州地区地面O₃浓度的分布。分析结果表明:辐散型流场下广州市地面O₃浓度最低,热岛环流型广州市地面O₃浓度最高。分析了两个监测站(市中心和清洁区)地面O₃浓度随时间的变化,并将实测值与计算值进行比较,发现无论是市中心还是清洁区O₃浓度变化都具有明显的周期性,呈现出规律性的日变化趋势;而计算值与实测值具有相同的周期性变化规律,并在相位上保持一致。
- 局地环流 /
- 天气类型 /
- 地面O₃浓度
Abstract: Analyzing a lot of T106 dataset, we that there are two synoptic types affecting Guangzhou district. One is the Westerly wind, and the other is Southeasterly wind. Eta model and meso-β scale model are used to simulate flow fields in Guangzhou under two synoptic types of condition. The main circulation meteorological fields are chosen as the input field of a high-resolution chemical model. The surface ozone concentration distribution are obtained under different meteorological conditions. The conclusions are that surface ozone concentration is the lowest under the divergent condition and the highest under the heat island circulation. Surface ozone concentrations changing with time are analyzed using two monitoring stations dataset. It is found that no matter over which station the surface ozone concentrations have periodic variation. The simulated data are compared with observed data which shows that the simulated data and observed data have the same variation.
- local circulation /
- weather types /
- surface ozone concentration

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参考文献(8)

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