| 中国中东部一次大范围重污染过程特征分析 |
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| 引用本文： | 丁俊男,赵熠琳,李健军.中国中东部一次大范围重污染过程特征分析[J].中国环境监测,2018,34(3):1-7. |
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| 作者姓名： | 丁俊男 赵熠琳 李健军 |
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| 作者单位： | 中国环境监测总站国家环境保护环境监测质量控制重点实验室 |
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| 基金项目： | 国家科技支撑计划"基于物联网的区域空气质量预警及决策支撑技术及应用"（2014BAC06B04） |
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| 摘 要： | 采用嵌套网格空气质量预报模式(NAQPMS)模拟与气象、污染物观测资料相结合的方式,分析了2016年12月影响中国中东部地区的一次重污染过程中PM_(2.5)时空分布特征及来源成因。结果表明,重污染过程中PM_(2.5)具有较明显的时空变化规律,污染呈现一定程度的区域性分布特点,不同地理位置条件下,污染物浓度的累积和传输方式表现出不同的特征,细颗粒物快速二次生成及不利扩散条件下的持续积累可能是此次污染过程的主要原因,不利于污染物扩散的高低空天气形势的配合抑制了污染物的快速消散,为大气污染的形成及维持提供了稳定的大气环境背景,形成了此次污染过程污染浓度高、影响范围大的态势。
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| 关 键 词： | PM2.5 空气质量数值预报 来源分析 |
| 收稿时间： | 2017/2/4 0:00:00 |
| 修稿时间： | 2017/3/14 0:00:00 |
Analysis about the Characteristics of a Heavy Air Pollution Event in Mid-Eastern China |
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| DING Junnan,ZHAO Yilin and LI Jianjun.Analysis about the Characteristics of a Heavy Air Pollution Event in Mid-Eastern China[J].Environmental Monitoring in China,2018,34(3):1-7. |
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| Authors: | DING Junnan ZHAO Yilin and LI Jianjun |
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| Institution: | State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China and State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China |
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| Abstract: | This paper is concerned with the PM2.5 distribution characteristics and sources of a heavy air pollution event in mid-eastern China in December of 2016, with the method of model (NAQPMS) simulation, meteorological and pollutant observation data analysis. The results showed that the temporal and spatial characteristic of PM2.5 was significant during heavy air pollution, the concentrations and transmission of PM2.5 appeared regionality. The rapid secondary generation of fine particulate matter and detrimental atmospheric conditions were the main reasons that caused the high-concentration and large-scale situation of this heavy air pollution event. |
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| Keywords: | PM2 5 air quality numerical forecast sources analysis |
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