NO2浓度变化及气象因子清除能力分析

The Analysis of NO2 Concentration Changes and Removal Ability of Meteorological Factors

  • 摘要: 为了解NO2浓度变化特征及其影响因子,利用2013-2018年沧州市NO2监测数据和气象数据,探讨了NO2浓度的时间变化特征及其与各影响因子的关系,重点讨论了气象因子对NO2的清除能力。结果表明:沧州市NO2平均浓度为41μg·m-3,其中冬季浓度最高为69.7μg·m-3,日分布呈"双峰双谷"型,存在周末浓度高于工作日的"反周末效应";通过相关性和灰色关联度分析发现,太阳辐射、风速与NO2浓度变化的相关性最好,降水、太阳辐射、风速与NO2浓度变化的关联度最高;通过分类统计发现,不同强度降水、1.5m·s-1以上风速、40%以下相对湿度、中等到强的太阳辐射非常有利于NO2的清除。

     

    Abstract: In order to understand the variation characteristics of NO2 concentration and its influence factors, the time variation characteristics of NO2 concentration and its relationship with influence factors were discussedusing the NO2 monitoring data and meteorological data of Cangzhou between 2013 and 2018.The removal ability of the meteorological factors was mainly focused. The results showed that the average concentration of NO2 was 41μg·m-3 in Gangzhou, and the highest concentration in winter was 69.7μg·m-3. The daily distribution showed "double peak and double valley" type, and there was an "anti-weekend effect" in which the weekend concentration was higher than weekdays. Through correlation and Grey correlation analysis, it was found that solar radiation, wind speed and NO2 concentration had a significant correlation, while precipitation, solar radiation, wind speed and NO2 concentration indicated the most significant correlation. According to the classified statistics, precipitation of different intensity, wind speed above 1.5m·s-1, relative humidity below 40%, and moderate to strong solar radiation were very favorable for the removal of NO2.

     

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