城区与郊区NO<sub>2</sub>-O<sub>3</sub>作用的多重分形差异分析

罗静; 张娇; 黄毅; 钟心宇; 陈智荣; 刘春琼; 史凯

doi:10.19672/j.cnki.1003-6504.1864.23.338

您当前的位置：

首页 >

文章列表页 >

城区与郊区NO₂-O₃作用的多重分形差异分析

更新时间：2026-11-05

- 城区与郊区NO₂-O₃作用的多重分形差异分析
- Multiple Fractal Difference Analysis of NO₂-O₃ Role in Urban and Suburban Areas
- 环境科学与技术 2024年47卷第S1期页码：79-85
- 作者机构：
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目（52160024）;湖南省自然科学基金项目（2022JJ30475）;西华师范大学博士启动项目（22kE015,22kE016）;西华师范大学科研创新团体项目（KCXTD2023-4）;吉首大学校级科研基金项目（Jdy22002）
- DOI：10.19672/j.cnki.1003-6504.1864.23.338
  中图分类号： X51
- 纸质出版：2024
- 稿件说明：
移动端阅览
罗静, 张娇, 黄毅, 等. 城区与郊区NO₂-O₃作用的多重分形差异分析[J]. 环境科学与技术, 2024,47(S1):79-85. DOI: 10.19672/j.cnki.1003-6504.1864.23.338.

罗静, 张娇, 黄毅, et al. Multiple Fractal Difference Analysis of NO₂-O₃ Role in Urban and Suburban Areas[J]. 2024, 47(S1): 79-85. DOI: 10.19672/j.cnki.1003-6504.1864.23.338.
罗静, 张娇, 黄毅, 等. 城区与郊区NO₂-O₃作用的多重分形差异分析[J]. 环境科学与技术, 2024,47(S1):79-85. DOI: 10.19672/j.cnki.1003-6504.1864.23.338. DOI：

罗静, 张娇, 黄毅, et al. Multiple Fractal Difference Analysis of NO₂-O₃ Role in Urban and Suburban Areas[J]. 2024, 47(S1): 79-85. DOI: 10.19672/j.cnki.1003-6504.1864.23.338. DOI：

摘要

为定量揭示城区和郊区O_3前体物对O_3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NO_2-O_3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NO_2-O_3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NO_2-O_3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O_3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O_3精细化预测模型的完善提供动力参数。

Abstract

关键词

Keywords

references

Li K, Jacob D J, Liao H, et al. Anthropogenic drivers of2013-2017 trends in summer surface ozone in China[J]. Proceedings of the National Academy of Sciences of the United States of America, 2019,116(2):422-427.

Wang T, Xue L K, Brimblecombe P, et al. Ozone pollution in China:a review of concentrations, meteorological influences, chemical precursors, and effects[J]. Science of the Total Environment, 2017,575:1582-1596.

Liu C Q, Zhang L, Wen Y, et al. Sensitivity analysis of O3formation to its precursors-multifractal approach[J]. Atmospheric Environment, 2021,251:118275.

Liu C Q, Shi K. A review on methodology in O3-NOx-VOC sensitivity study[J]. Environmental Pollution, 2021, 291:118249.

张娇,刘春琼,吴波,等. COVID-19疫情期间城郊森林公园O3变化对NO2减排响应的多重分形模式[J].生态学报,2021,41(24):9669-9680.Zhang Jiao, Liu Chunqiong, Wu Bo, et al. Multifractal model of the response of O3change to NO2emission reduction in suburban forest parks during COVID-19 epidemic[J]. Acta Ecologica Sinica, 2021,41(24):9669-9680.

Chelani A. Long-memory property in air pollutant concentrations[J]. Atmospheric Research, 2016,171:1-4.

李彦辉,吴波,张娇,等. COVID-19疫情对张家界森林公园PM2.5/PM10演化的影响[J].西华师范大学学报：自然科学版, 2021,42(4):339-347.Li Yanhui, Wu Bo, Zhang Jiao, et al. Impact of COVID-19on the evolution of PM2.5/PM10in Zhangjiajie forest park[J].Journal of China West Normal University:Natural Sciences,2021,42(4):339-347.

Liu C Q, Liang J, Li Y P, et al. Fractal analysis of impact of PM2.5on surface O3sensitivity regime based on field observations[J]. Science of the Total Environment, 2023, 858:160136.

Liu C Q, Geng H, Shen P, et al. Coupling detrended fluctuation analysis of the relationship between O3and its precursors:a case study in Taiwan[J]. Atmospheric Environment,2018,188:18-24.

Wu B, Liu C Q, Zhang J, et al. The multifractal evaluation of PM2.5-O3coordinated control capability in China[J]. Ecological Indicators, 2021,129:107877.

Zhou W X. Multifractal detrended cross-correlation analysis for two nonstationary signals[J]. Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 2008, 77(6 Pt 2):066211.

Lloyd S. Least squares quantization in PCM[J]. IEEE Transactions on Information Theory, 1982,28(2):129-137.

李思川,史凯,刘春琼,等.香港地区O3与NO2的长期互相关作用[J].环境科学与技术, 2014,37(11):15-19.Li Sichuan, Shi Kai, Liu Chunqiong, et al. Long-term correlation between O3and NO2in Hong Kong[J]. Environmental Science&Technology, 2014,37(11):15-19.

Halder B, Bandyopadhyay J, Banik P. Monitoring the effect of urban development on urban heat island based on remote sensing and geo-spatial approach in Kolkata and adjacent areas, India[J]. Sustainable Cities and Society, 2021, 74:103186.

Zhang M M, Al Kafy A, Xiao P N, et al. Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China[J]. Urban Climate, 2023,47:101347.

Liu Y H, Xu Y M, Zhang F M, et al. A preliminary study on the influence of Beijing urban spatial morphology on nearsurface wind speed[J]. Urban Climate, 2020,34:100703.

浏览量

109

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

广州大气VOCs特征、来源及其臭氧生成影响

粤北盆地大气臭氧综合观测及其在预报中的应用：以河源为例

合肥市主城区地表热环境时空演变及其影响因素分析

湖南省臭氧生成敏感性长期时空演变特征识别

有机废水臭氧生物炭深度处理研究

城区与郊区NO2-O3作用的多重分形差异分析

Multiple Fractal Difference Analysis of NO2-O3 Role in Urban and Suburban Areas

DOI：10.19672/j.cnki.1003-6504.1864.23.338

摘要

Abstract

关键词

Keywords

references

城区与郊区NO₂-O₃作用的多重分形差异分析

Multiple Fractal Difference Analysis of NO₂-O₃ Role in Urban and Suburban Areas