首页|2015-2022年兰州市环境空气质量时间变化特征分析

2015-2022年兰州市环境空气质量时间变化特征分析

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[目的]分析兰州市环境空气质量时间变化特征,为兰州地区空气污染预报预警和大气污染防治工作提供依据.[方法]利用2015年1月1日—2022年12月31日空气质量逐小时数据,统计分析兰州市空气质量和空气质量等级日数的年际变化、月变化及日变化特征.[结果]结果表明:①2015-2022年兰州市AQI指数呈逐年下降趋势,优良天数呈增加趋势,轻度污染和中度污染天数呈减少趋势;兰州空气质量以优、良和轻度污染为主.②兰州市1-12月AQI指数呈"冬春高夏低"特征,优良天数整体呈先增后降的趋势,轻度污染和中度污染天数呈倒"U"形,12月的污染天数为最多,次峰值则出现在3月.③兰州市逐小时AQI指数呈典型的双峰特征,白天峰值出现在9时至12时,夜间峰值出现在20时至23时.[结论]研究结论可为兰州地区空气污染预报预警和大气污染防治工作提供依据.
Analysis of Time Variation Characteristics of Ambient Air Quality in Lanzhou from 2015 to 2022
[Purposes]The temporal variation characteristics of ambient air quality in Lanzhou were ana-lyzed to provide a basis for air pollution forecasting and early warning and air pollution prevention and control in Lanzhou.[Methods]In order to study the ambient air quality of Lanzhou,this paper uses the hourly air quality data from January 1,2015 to December 31,2022 to statistically analyze the interannual,quarterly and daily characteristics of air quality and air quality grades from January 1,2015.[Findings]The results show that:① from 2015 to 2022,the number of good days is decreasing gradually,and the number of days with light and moderate pollution is decreasing;the air quality in Lanzhou is mainly ex-cellent,good and light pollution.② from January to December,the AQI index of Lanzhou was character-ized by"high in winter,spring and low in summer",and the number of good days increased first and then decreased.The number of days with light pollution and moderate pollution was inverted"U"type,the number of pollution days in December was the most,and the second peak appeared in March.③ the hourly AQI index in Lanzhou showed a typical bimodal feature,with daytime peak appearing at 9-12 and nighttime peak appearing at 20-23.[Conclusions]Based on the time change characteristics of environ-mental quality in Lanzhou,combined with the local weather and climate characteristics,it can provide a basis for air pollution forecast and early warning and air pollution prevention and control in Lanzhou.

air qualitytime variationLanzhou city

韩莹、崔琴、田晓静、陈晓燕

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甘肃省疾病预防控制中心,甘肃 兰州 730030

西北民族大学,甘肃 兰州 730030

兰州中心气象台,甘肃 兰州 730020

空气质量 时间变化特征 兰州市

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(18)