首页|城区与郊区NO2-O3作用的多重分形差异分析

城区与郊区NO2-O3作用的多重分形差异分析

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为定量揭示城区和郊区O3前体物对O3生成的差异化影响,文章基于多重分形去趋势互相关分析法和K均值聚类算法,对2016-2022年四川省15个重点城市城区和郊区不同站点NO2-O3互相关性的多尺度特征进行对比分析。结果表明,城区和郊区大气NO2-O3互相关性均具有多重分形性及长期持续性特征,且郊区站点多重分形强度显著高于城区。城区和郊区NO2-O3互相关性多重分形强度差异呈现逐年递增规律,且受季节影响较大,其中夏季城区和郊区差异最大,冬季最小,这些差异主要受O3前体物排放特征和热岛效应的影响。研究结果有助于从新的角度理解城区郊区大气污染差异及形成机理,为城郊O3精细化预测模型的完善提供动力参数。
Multiple Fractal Difference Analysis of NO2-O3 Role in Urban and Suburban Areas
In order to quantitatively reveal the differential effects of O3 precursors on O3 production in urban and suburban ar-eas,the multi-scale characteristics of NO2-O3 intercorrelation at different sites in urban and suburban areas of 15 key cities in Sichuan Province from 2016 to 2022 were compared based on the multiple fractal detrended correlation analysis and K-means clustering algorithm.The results show that the atmospheric NO2-O3 intercorrelations in urban and suburban areas are character-ized by multi-fractality and long-term persistence,and the intensity of multi-fractality at suburban sites is significantly higher than that in urban areas.The differences in the NO2-O3 correlations between urban and suburban areas showed a yearly in-creasing pattern,and were affected by the seasons,with the largest differences between urban and suburban areas in summer and the smallest ones in winter,which were mainly influenced by the emission characteristics of O3 precursors and the heat is-land effect.The study of NO2 and O3 inter-correlation multiple fractal variation patterns provides a new perspective to under-stand the differences in the characteristics and formation mechanisms of air pollution in urban and suburban areas,and provides new parameters for the improvement of the refined prediction model of O3 in urban and suburban areas.

ozonenitrogen dioxidemultifractalK-means clusteringurban heat island effect

罗静、张娇、黄毅、钟心宇、陈智荣、刘春琼、史凯

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吉首大学数学与统计学院,湖南 吉首 416000

西华师范大学环境科学与工程学院,四川 南充 637009

臭氧 二氧化氮 多重分形 K均值聚类 热岛效应

国家自然科学基金项目湖南省自然科学基金项目西华师范大学博士启动项目西华师范大学博士启动项目吉首大学校级科研基金项目西华师范大学科研创新团体项目

521600242022JJ3047522kE01522kE016Jdy22002KCXTD2023-4

2024

环境科学与技术
湖北省环境科学研究院

环境科学与技术

CSTPCD北大核心
影响因子:0.943
ISSN:1003-6504
年,卷(期):2024.47(z1)