研究论文
王杨君,李莉,冯加良,黄成,黄海英,陈长虹,王红丽,盛国英,傅家谟.基于OSAT方法对上海2010年夏季臭氧源解析的数值模拟研究[J].环境科学学报,2014,34(3):567-573
基于OSAT方法对上海2010年夏季臭氧源解析的数值模拟研究
- Source apportionment of ozone in the summer of 2010 in Shanghai using OSAT method
- 基金项目：国家自然科学基金项目（No.41205122，41105102）；上海市重点学科项目（No.S30109）
- 作者
- 单位
- 王杨君
- 上海大学 环境与化学工程学院, 上海 200444
- 李莉
- 上海市环境科学研究院, 上海 200233
- 冯加良
- 上海大学 环境与化学工程学院, 上海 200444
- 黄成
- 上海市环境科学研究院, 上海 200233
- 黄海英
- 上海市环境科学研究院, 上海 200233
- 陈长虹
- 上海市环境科学研究院, 上海 200233
- 王红丽
- 上海市环境科学研究院, 上海 200233
- 盛国英
- 中国科学院广州地球化学研究所, 广州 510640
- 傅家谟
- 上海大学 环境与化学工程学院, 上海 200444
- 摘要：上海夏季臭氧浓度超标现象频繁出现，危害人体健康，已成为一个重要的大气环境问题.本文采用CAMx模型并使用OSAT方法对上海2010年夏季（8月）地面臭氧的源贡献进行了数值模拟研究，探讨了上海本地、浙江、江苏和远距离传输对上海徐汇站O3浓度的贡献，同时还详细分析了上海本地8类源（农业源、工业过程、工业锅炉、电厂、生活源、交通源和挥发源）的贡献特征.结果表明：在白天O3低浓度污染时段和夜间，上海徐汇站O3主要来自外围（最内层模拟区域之外）的贡献.而在白天高浓度O3污染时段，来自上海市本地污染源排放的贡献率显著地升高.从2010年8月6—31日期间徐汇站O3小时浓度贡献百分率的平均值来看，外围贡献了61.2%，上海本地、江苏和浙江对上海徐汇站的平均贡献率分别为22.8%、7.4%和8.6%.工业过程是上海本地O3的最大贡献源，其次是挥发源和交通源，因此，降低上海本地O3污染浓度的有效措施为控制来自工业过程、挥发源和交通源的O3前体物的排放.另外，通过OSAT方法模拟计算还得出，上海市交通源、上海电厂和工业过程是徐汇站NOx浓度（O3的重要前体物之一）的三大主要贡献源，实施针对该三大重点排放源的减排措施将有效减少上海市的NOx大气环境浓度.
- Abstract：Ozone Source Apportionment Technology (OSAT) in CAMx(a regional chemical transport model) was used to analyze the sources of ozone in August 2010 in Shanghai, China. Shanghai Academy of Environmental Sciences (Xuhui) was selected as an urban receptor. The contributions to ozone concentration at Xuhui site from eight source categories and four source regions including Shanghai local, Zhejiang, Jiangsu and long-range transport were studied. The results indicated that in the night-time and in the daytime with low ozone concentrations, long-range transport was the dominant contributor to the ozone at Xuhui. However, local contribution percentages increased greatly in the daytime with high ozone concentrations. The average contribution percentage to hourly ozone concentrations at Xuhui site from long-range transport during 6—31 August 2013 was 61.2% and those from Shanghai local, Jiangsu and Zhejiang were 22.8%,7.4% and 8.6%, respectively. The industrial process was the biggest local contributor followed by the volatile sources and vehicle emissions. Therefore, controlling ozone precursors' emission from the three source categories can effectively decrease the ozone concentration in Shanghai. As to nitrogen oxide (NOx), one of the precursors of ozone, vehicle emissions, boilers in power plants and industrial processes were the three dominant contributors at Xuhui site. Controlling the emissions from these three source categories would be effective to reduce NOx pollution in Shanghai.
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