摘要
利用2017~2019年贵阳市10个国控环境空气监测站点监测的臭氧(O_(3))数据,结合反距离权重法,研究分析O_(3)浓度时空演化、污染分布特征以及污染日O_(3)浓度与NO_(2)、气温及相对湿度等气象因子的相关性。结果显示:2017~2019年贵阳市O_(3)污染浓度总体呈下降趋势,污染主要集中在4、5月,严重污染区分布在燕子冲、新华路、马鞍山一带。污染日O_(3)浓度呈单峰变化,在15:00出现峰值,且与温度有较强的正相关,与相对湿度存在负相关,在温度大于25℃,相对湿度小于40%时O_(3)浓度出现高值区。时空演化分析上,O_(3)浓度仍呈现出春季>夏季>秋季>冬季的季节性变化,站点月均浓度全年总体仍呈现双峰型变化,4、8月分别为极大值,1、7月为极小值。O_(3)高浓度值在空间上呈现由南向北转移的趋势,碧云窝、桐木岭、新华路、马鞍山及燕子冲站的浓度三年均表现出高值,其中燕子冲不论是O_(3)高浓度变化、污染天数还是污染次数都明显高于其他站点,应在今后O_(3)防控上对其引起重视和关注。
This study analyzes the spatial-temporal distribution characteristics of O_(3) pollution and temporal and spatial evolution of O_(3) concentration,using observed O_(3) data from 10 air quality monitoring stations in Guiyang from 2017 to 2019,and combining with the interpolation method of inverse distance weight.Meanwhile,the correlation between O_(3) concentration and NO_(2),temperature and relative humidity on August 12,2019 was analyzed.The results show that the O_(3) pollution in Guiyang showed an overall downward trend,with the pollution mainly concentrated in April and May,the serious pollution areas were concentrated in Yanzichong,Xinhua Road and Maanshan.On pollution days,O_(3) concentration shows a single-peak trend,with a peak at 15:00,which has a strong positive correlation with temperature,and a negative correlation with relative humidity.O_(3) concentration appears a high value area when temperature is above 25℃ and relative humidity is less than 40%.In terms of space-time evolution analysis,O_(3) concentration still has obvious seasonal and monthly variation distribution characteristics.there is still a trend of spring>summer>autumn>winter,and the overall trend of monthly average O_(3) concentration at each site shows a bimodal change throughout the year,with maximum values in April and August,and minimum values in January and July.The spatial distribution of the stations shows that the high O_(3) concentration shifts from south to north,and the O_(3) concentration of Bi yun wo,Tong mu ling,Xin hua Road,Ma an shan and Yan zi chong stations shows high concentration value in three years.The variation of high O_(3) concentration,pollution days and pollution times of Yan zi chong station are significantly higher than other stations,which should be paid attention to O_(3) prevention and control work of this station in the future.
作者
刘芳
罗皓
Liu Fang;Luo Hao(School of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025;Guizhou Provincial Key Lab.of Mountain Resources and Environment Remote Sensing Application,Guiyang 550025;Guizhou Chuyun Environmental Protection Technology Co.,Ltd.,Guiyang 550081,China)
出处
《广东化工》
CAS
2023年第12期170-176,共7页
Guangdong Chemical Industry
基金
贵州省科学技术基金资助项目(黔科合基础[2019]1232号)。
关键词
臭氧
污染特征
时空演化
反距离权重法
气象因子
ozone(O_(3))
spatiotemporal evolution
pollution characteristics
inverse distance weighted
meteorology factors