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| 2013年北京市臭氧时空分布及预报 | |
| 引用本文： | 贾海鹰, 孟凡, 柴发合, 李红霞, 李红, 张永锋. 2013年北京市臭氧时空分布及预报[J]. 环境工程学报, 2016, 10(4): 1900-1906. doi: 10.12030/j.cjee.20160451 |
| 作者姓名： | 贾海鹰 孟凡 柴发合 李红霞 李红 张永锋 |
| 作者单位： | 1.湖南省气象服务中心, 长沙 410118; 2.中国环境科学研究院, 北京 100012; 3.中山大学先进技术研究院, 广州 510275 |
| 基金项目： | 国家环境保护公益性行业科研专项(201309071) 国家自然科学基金资助项目(41401222) |
| 摘 要： | 根据2013年1-12月北京市O3小时浓度监测数据,探讨了北京市O3的时空分布特征,并建立了O3回归统计模型。结果显示:2013年北京市O3 8 h全年平均为84.75 μg/m3,O3超标日主要集中在5-9月份;O3日变化呈现单峰型分布,一般在15:00、16:00左右达到峰值,且存在明显的周末效应,空间分布上,中心城区O3浓度相对较低,生态植被优良的北部、西部山区站点浓度较高;建立的O3回归统计模型对北京市2013年O3 8 h临近预报的级别准确率在75%以上,能较好地反映O3浓度变化趋势。 |
| 关 键 词： | 臭氧 空间分布 光化学污染 北京 |
| 收稿时间： | 2015-02-25 |
Analysis on distribution characteristics and prediction of ozone in Beijing in 2013 |
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| Jia Haiying, Meng Fan, Chai Fahe, Li Hongxia, Li Hong, Zhang Yongfeng. Analysis on distribution characteristics and prediction of ozone in Beijing in 2013[J]. Chinese Journal of Environmental Engineering, 2016, 10(4): 1900-1906. doi: 10.12030/j.cjee.20160451 | |
| Authors: | Jia Haiying Meng Fan Chai Fahe Li Hongxia Li Hong Zhang Yongfeng |
| Affiliation: | 1.Hunan Meteorological Service Center, Changsha 410118, China; 2.Chinese Research Academy of Environmental Sciences, Beijing 100012, China; 3.Institute of Advanced Technology, Sun Yat-sen University, Guangzhou 510275, China |
| Abstract: | We analyzed the spatial and temporal distribution of the maximum daily 8 hour average concentration of ozone in Beijing in 2013.One statistical partitioning prediction model for O3 was established using matlab.Analysis results showed that the average maximum daily 8 hour average ozone concentration over the whole year was 84.75 μg/m3 and the excessive ozone pollution days were mainly concentrated in May, June, July, August, and September.The diurnal variation for O3 showed a single peak distribution that appeared at 15:00 or 16:00 and there was an obvious weekend effect.The ozone concentration was lower in the central urban area and higher in northern and western mountain area where there was more vegetation.Further study showed that the established statistical partitioning prediction model could successfully capture the variation in O3, and the air quality forecasting accuracy rates were above 75%. |
| Keywords: | O3 seasonal distribution photochemical pollution Beijing |
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