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宿州市2016-2021年PM_(2.5)和O_(3)污染特征研究 被引量:2

Characteristics of PM_(2.5) and Ozone Pollution in Suzhou City from 2016 to 2021
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摘要 为探究宿州市PM_(2.5)和O_(3)污染特征,了解环境质量,利用小波分析法对宿州市2016—2021年空气质量指数(AQI)、PM_(2.5)、O_(3)和NO_(2)的日均浓度进行综合分析。结果表明:2016—2021年宿州市PM_(2.5)污染得到明显改善,而O_(3)-8 h全年超标天数在2017和2019年维持较高水平,经过疫情管控和污染治理,O_(3)-8 h全年超标天数于2021年降低到28天,改善明显。研究发现AQI与PM_(2.5)、O_(3)的污染序列均具有相同或相近的第1主周期,大气污染也由PM_(2.5)和O_(3)交替污染逐步衍变成复合污染。根据小波系数实部图发现,在相同或相近的时间尺度下,PM_(2.5)与O_(3)-8 h和O_(3)-8 h与NO_(2)污染序列的振荡频率接近,存在正相关。由此可知,宿州市近6年PM_(2.5)和O_(3)污染明显好转,环境质量逐年改善,但仍需多聚焦能造成O_(3)复合污染的NO_(2)等前体物排放,这是进一步优化宿州市空气质量的重要途径。 In order to explore the characteristics of PM_(2.5)and O_(3)pollution in Suzhou and understand the environmental quality,the wavelet analysis method was used to comprehensively analyze the average daily concentrations of AQI(Air Quality Index),PM_(2.5),O_(3)and NO_(2)in Suzhou from 2016 to 2021.The results showed that PM_(2.5)pollution in Suzhou City was significantly improved from 2016-2021,while the number of O_(3)-8 h exceedance days was maintained at a high level in 2017 and 2019.After epidemic control and pollution management,the annual number of O_(3)-8 h exceedance days was decreased to 28 days compared with 2021,showing significant improvement.It is found that the pollution sequences of AQI and PM_(2.5)and O_(3)all have the same or similar first main cycle,and the air pollution also gradually developed from the alternating pollution of PM_(2.5)and O_(3)to the composite pollution.Accor-ding to the wavelet coefficient real part diagram,it is found that the oscillation frequencies of PM_(2.5)and O_(3)-8 h and O_(3)-8 h and NO_(2)pollution sequences are close to each other at the same or similar time scales,and there is a positive correlation.It indicates that PM_(2.5)and O_(3)pollution in Suzhou City has been significantly improved over the past six years,with environmental quality improving yearly.However,it is still necessary to focus more on precursor emissions such as NO_(2)which can cause O_(3)compound pollution,which is an important way to further optimize the air quality in Suzhou City.
作者 许慧珍 郇辉辉 付金沐 XU Huizhen;HUAN Huihui;FU Jinmu(School of Earth and Environment,Anhui University of Science and Technology,Huainan 232001,China;School of Environment and Surveying Engineering,Suzhou University,Suzhou 234000,China)
出处 《宿州学院学报》 2022年第12期38-45,共8页 Journal of Suzhou University
基金 宿州学院联合培养研究生科研创新基金(2021KYCX12)。
关键词 PM_(2.5) 臭氧 小波分析 大气复合污染 污染趋势 PM_(2.5) Ozone Wavelet analysis Compound air pollution Pollution trend
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