| 达州市2016年元旦期间持续重污染天气气象条件分析 |
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| 引用本文： | 罗贵东,陈怡蓓,郑文全.达州市2016年元旦期间持续重污染天气气象条件分析[J].高原山地气象研究,2017,37(2):58-64. |
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| 作者姓名： | 罗贵东 陈怡蓓 郑文全 |
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| 作者单位： | 四川省达州市气象局, 达州 635000 |
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| 摘 要： | 利用空气质量监测资料、高空和地面气象观测资料、NCEP再分析资料,对达州市2016年元旦节期间重污染天气过程特征及气象条件进行分析。结果表明:达州市此次重污染天气过程为长时间无冷空气活动,无降雨,大气污染物不断积聚形成。AQI日变化受污染源排放情况影响更大,早上低,白天逐渐增加,天黑后达到峰值。大气污染物的积累一般发生大气稳定度为中性或以上。AQI与08时和17时混合层厚度负相关,但日平均混合层厚度与AQI没有通过相关性检验。重污染时近地面有逆温层且逆温层较厚。AQI与逐日最高气温、日平均风速和日最大风速正相关,降雨对大气污染物稀释作用明显,特别是降雨持续时间长,雨量大效果更为显著。AQI逐时变化与温度正相关,与风速负相关。
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| 关 键 词： | 空气质量指数(AQI) 大气层结 气象要素 相关分析 |
| 收稿时间： | 2017-04-05 |
Analysis of Meteorological Conditions for Continuous Heavy Pollution Weather in Dazhou during the New Year's Day in 2016 |
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| Affiliation: | Dazhou Meteorological Bureauu, Dazhou 635000, China |
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| Abstract: | Base on the air quality monitoring data, upper-air and surface meteorological observation data, NCEP reanalysis data, we analyzed the heavy pollution weather process characteristics and meteorological conditions during the new year's day of 2016 in Dazhou City. The results show that: The heavy pollution weather process in Dazhou city was a long time without cold air activity, no rain and the accumulation of atmospheric pollutants. AQI diurnal change was affected by the emissions of pollution more than weather conditions, low in the morning, gradually increased during the day, reached the peak after dark.The accumulation of atmospheric pollutants generally occurred at a neutral or higher level of atmospheric stability. AQI was negatively correlated with the thickness of atmospheric mixed layer at 8 and 17, but the average thickness of atmospheric mixed layer and AQI did not pass the correlation test. When AQI was heavy pollution, there was temperature inversion layer near the ground and the inversion layer was thick. AQI was positively correlated with daily maximum temperature, daily mean wind speed and daily maximum wind speed. The effect of rainfall on the dilution of atmospheric pollutants was obvious, and the longer rainfall time, the larger precipitation, the effect is more significant. AQI hourly variation is positively correlated with temperature and negatively correlated with wind speed. |
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