引用本文:PANG Ye,PAN Run-xi,HE Yu,WANG Di,PAN Qiu-ling,HUANG Nai-zun.Spatio temporal Characteristics of Ozone and Pollution Weather Types in Guangxi[J].Environmental Monitoring and Forewarning,2019,11(3):44~48
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广西臭氧时空分布特征及污染天气类型研究
庞业,潘润西,何宇,王迪,潘秋玲,黄乃尊
广西壮族自治区环境监测中心站,广西 南宁 530028
摘要:
基于2015—2017年广西14个城市环境空气质量日监测数据和相关气象资料,分析了广西O3时空分布特征,利用主观分型方法归纳了广西O3污染的典型天气类型。结果表明,广西2015—2017年O3累积超标天数分别为74,41和89 d,年均值分别为122,120和128 μg/m3,日变化呈现单峰型分布特征,O超标占比最高的时段均为4—5月和8—10月;2017年O高值区面积明显增大,呈现连片式的特征;台风外围型(53.4%)、副高控制型(26.5%)和冷高压脊变性控制型(16.7%)是造成广西O污染的典型天气类型。广西O污染受气象条件影响较大,天气形势变化导致的污染规律较明显。
关键词:  臭氧  时空分布  气象要素  污染天气类型  空气质量预报  广西
DOI:
分类号:X515
文献标识码:B
基金项目:广西重点研发计划基金资助项目(桂科AB16380292)
Spatio temporal Characteristics of Ozone and Pollution Weather Types in Guangxi
PANG Ye,PAN Run-xi,HE Yu,WANG Di,PAN Qiu-ling,HUANG Nai-zun
Guangxi Zhuang Autonomous Region Environmental Monitoring Center,Nanning,Guangxi 530028,China
Abstract:
Based on the daily monitoring data of environmental air quality and correlative meteorological data of 14 cities in Guangxi from 2015 to 2017, the spatio temporal distribution characteristics of ozone were analyzed. The typical weather of ozone pollution in Guangxi was summarized by subjective classification method. The results showed that during the year of 2015—2017, the accumulative over standard days of ozone concentration were 74 days, 41 days and 89 days, respectively, with the annual average concentration 122, 120 and 128 μg/m3, respectively.The daily variation of ozone concentration from 2015 to 2017 showed a single peak distribution. The highest over standard proportion of ozone occurred during the moths of April to May and August to October. The area of high ozone concentration enlarged obviously and contiguous with each other in 2017. Typhoon periphery(53.4%), subtropical high(26.5%)and cold high pressure transformation (16.7%)are typical weather types that cause O pollution in Guangxi. O pollution in Guangxi is influenced greatly by meteorological conditions,the pollution patterns is obvious in the change of the weather.
Key words:  Ozone  Spatio temporal distribution  Meteorological elements  Polluted weather types  Air quality forecast  Guangxi