| 复杂地形城市冬季大气污染的数值模拟研究 |
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| 引用本文： | 姜金华,彭新东.复杂地形城市冬季大气污染的数值模拟研究[J].高原气象,2002,21(1):1-7. |
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| 作者姓名： | 姜金华 彭新东 |
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| 作者单位： | 1. 中国科学院,寒区旱区环境与工程研究所,甘肃,兰州,730000;中国科学院,大气物理研究所LAPC实验室,北京,100029
2. 中国科学院,寒区旱区环境与工程研究所,甘肃,兰州,730000 |
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| 基金项目： | 中国科学院“西部之光”项目“兰州市大气污染预测及信息系统研究”，中国科学院兰州分院院长基金，甘肃省政府 -中国科学院科技合作研究项目“兰州市大气污染及对策研究”共同资助 |
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| 摘 要： | 采用中尺度大气动力模式与大气扩散模式相结合的方法，针对复杂地形条件下兰州市冬季无明显冷空气入侵天气过程时段（1994年12月2－3日）的大气污染状况，进行污染物（二氧化硫和烟尘）浓度分布的数值模拟研究，分析了模拟的风场的气温层结随时间的变化以及污染物浓度的分布及其变化，进一步分析了模拟的风场和气温层结与污染物浓度分布的关系。结果表明，该模式系统对兰州市大气边界层结构及污染物浓度的分布有较好的模拟能力，并证明了该模式系统可适用于兰州市大气质量预测预报研究。
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| 关 键 词： | 地形 风场 大气污染物浓度分布 数值模拟 城市 气温层结 兰州市 |
| 文章编号： | 1000-0534(2002)01-0001-07 |
| 修稿时间： | 2001年1月2日 |
Numerical Study on Air Pollution Concentration over Lanzhou Winter under Complex Terrain |
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| JIANG Jin-hua{,},PENG Xin-dong.Numerical Study on Air Pollution Concentration over Lanzhou Winter under Complex Terrain[J].Plateau Meteorology,2002,21(1):1-7. |
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| Authors: | JIANG Jin-hua{ } PENG Xin-dong |
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| Institution: | JIANG Jin-hua+{1,2},PENG Xin-dong+1 |
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| Abstract: | In this study, concentration of air pollutant (SO 2and fume) during winter period without obvious weather event from 2 to 3 December 1994 over Lanzhou, a city of complex terrain, is simulated witha coupled, high-resolution atmosphere-diffuse modeling system. The meteorological conditions (wind and inverse temperature) prevailing during the period are analyzed based on simulation products of the Regional Atmospheric Modeling system (RAMS). And the dispersion of the air pollutant (SO 2and fume) over Lanzhou is studied with the use of the Hybrid Particle and Concentration Transport package model (HYPACT). The impacts of wind and inverse temperature on pollutant concentration are analyzed based on the simulating results. The results show that the changes of wind and inverse temperature have obvious influence on pollutant concentration, and that the modeling systems are suitable for simulating atmospheric boundary layer and air pollutant concentration over Lanzhou. This proves the feasibility of using the modeling systems to predict air quality over Lanzhou City. |
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| Keywords: | Complex terrain Inverse temperature Wind field Distribution of air pollutant concentration Numerical simulation |
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