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衡阳市O_(3)污染特征及影响因素相关性分析 被引量:1

Analysis on the Characteristics of Pollution and Correlation of Influencing Factors of O_(3) in Hengyang City
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摘要 【目的】掌握衡阳市O_(3)污染状况及影响因素,为科学防控O_(3)污染提供依据。【方法】采用Pearson相关性分析,分析衡阳市O_(3)污染的时空分布特征,探究衡阳市O_(3)与气象因素、社会经济因素及其他污染因子之间的相关关系。【结果】衡阳市O_(3)浓度在空间分布上差异不明显,但季节差异显著;O_(3)浓度与气象因子的相关度大小依次为平均气温>日照时数>平均气压>平均湿度>平均风速,与降水量相关关系不明显;与社会经济因素的相关关系不明显;与其他污染因子的相关度大小依次为CO>NO_(2)>PM_(2.5)>PM_(10),与SO_(2)相关关系不显著。【结论】应加大衡阳市O_(3)污染的联防联控力度,尤其高温、强辐射天气下O_(3)形成前体物的控制十分关键。 【Objective】Master the status of O_(3) pollution and the interfering factor in Hengyang City,and provide scientific evidence for control the O_(3) pollution.【Method】Using the correlation analysis by Pearson,the characteristics of spatio-temporal distribution of O_(3) in Hengyang City were analyzed and the correlations between O_(3) and meteorological factors,socio-economic factors and pollution factors in Hengyang City were explored.【Result】There was no significant difference in the spatial distribution of O_(3) concentration in Hengyang City,but the seasonal difference was significant;the order of correlation between O_(3) concentration and meteorological factors was mean temperature>sunshine duration>mean air pressure>average humidity>mean wind speed,which there was no significant correlation with the precipitation and there was no significant correlation with socio-economic factors.The order of correlation with other pollution factors was CO>NO_(2)>PM_(2.5)>PM_(10),which there was no significant correlation with the SO_(2).【Conclusion】The joint prevention and control of O_(3) pollution in Hengyang City should be strengthened,especially in high temperature and strong radiation weather.The control of O_(3) precursor is very important.
作者 刘作云 LIU Zuoyun(Ecological livable College,Hunan Polytechnic of Environment and Biology,Hengyang 421005,China)
出处 《湖南生态科学学报》 CAS 2021年第2期25-31,共7页 Journal of Hunan Ecological Science
基金 湖南省自然科学基金项目(2018JJ5028)。
关键词 O_(3) 时空分布 气象因素 社会经济因素 相关性 O_(3) spatio-temporal distribution meteorological factors socio-economic factors correlation
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