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基于多尺度交叉趋势样本熵的城市空气质量指数分析

赵文成 王访

赵文成, 王访. 基于多尺度交叉趋势样本熵的城市空气质量指数分析[J]. 环境工程, 2020, 38(2): 91-98. doi: 10.13205/j.hjgc.202002013
引用本文: 赵文成, 王访. 基于多尺度交叉趋势样本熵的城市空气质量指数分析[J]. 环境工程, 2020, 38(2): 91-98. doi: 10.13205/j.hjgc.202002013
ZHAO Wen-cheng, WANG Fang. ANALYSIS OF URBAN AIR QUALITY INDEX BASED ON MULTISCALE CROSS TREND SAMPLE ENTROPY[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 91-98. doi: 10.13205/j.hjgc.202002013
Citation: ZHAO Wen-cheng, WANG Fang. ANALYSIS OF URBAN AIR QUALITY INDEX BASED ON MULTISCALE CROSS TREND SAMPLE ENTROPY[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 91-98. doi: 10.13205/j.hjgc.202002013

基于多尺度交叉趋势样本熵的城市空气质量指数分析

doi: 10.13205/j.hjgc.202002013
基金项目: 

国家自然科学基金(61973111);湖南省社科基金(18YBA226);湖南省研究生创新项目(CX20190527);湖南省教育厅科研项目(17C0755)。

详细信息
    作者简介:

    赵文成(1987-),女,硕士,主要研究方向为大气污染统计分析及防治。353771953@qq.com

    通讯作者:

    王访(1981-),男,博士,教授,主要研究方向为复杂系统统计分析。topwang619@163.com

ANALYSIS OF URBAN AIR QUALITY INDEX BASED ON MULTISCALE CROSS TREND SAMPLE ENTROPY

  • 摘要: 为了研究城市的空气质量指数(air quality index,AQI)与各污染物浓度序列之间的一致性,以及相邻城市间污染物的相似程度,提出一种新的多尺度交叉趋势样本熵(multiscale cross trend sample entropy,MCTSE),用于刻画2个具有趋势的序列在不同尺度上的一致性。利用该方法对长沙、株洲和湘潭3个城市春、夏、秋、冬的AQI与PM2.5、PM10、SO2、NO2、CO和O3 6种污染物浓度序列展开研究,为寻找影响这些城市空气质量的污染源以及共同治理提供参考。最后为这些城市制定空气污染防治目标提出了可行的治理对策。
  • 佘倩楠, 徐茜, 周陶冶,等. 长三角地区2015年大气重污染特征及其影响因素[J]. 环境科学学报, 2018, 38(8):3185-3196.
    李琛, 刘瑾, 王彦民. 气压对西安市城区空气质量的影响[J]. 环境工程, 2017, 35(3):101-105

    ,122.
    别同, 韩立建, 何亮,等. 城市空气污染对周边区域空气质量的影响[J]. 生态学报, 2018, 38(12):4268-4275.
    XU L Z, BATTERMAN S, CHEN F, et al. Spatiotemporal characteristics of PM2.5, and PM10, at urban and corresponding background sites in 23 cities in China[J]. Science of the Total Environment, 2017, 599/600:2074-2084.
    XIAO K, WANG Y K, WU G, et al. Spatiotemporal characteristics of air pollutants (PM10, PM2.5, SO2, NO2, O3, and CO) in the inland basin city of Chengdu, Southwest China[J]. Atmosphere, 2018, 9(2):74.
    李礼, 许丽萍, 余家燕,等. 重庆主城区近年一次典型空气重污染过程分析[J]. 环境工程学报, 2017, 11(12):6379-6385.
    杨志文, 元洁, 吴琳,等. 夏季空气污染物指数与气象参数相关性分析[J]. 环境工程, 2018, 36(8):83-87.
    CHAN Z Y, XIE X M, CAI J, et al. Understanding meteorological influences on PM2.5 concentrations across China:a temporal and spatial perspective[J]. Atmospheric Chemistry and Physics Discussions, 2017:1-30.
    HAN L J, ZHOU W Q, LI W F. Increasing impact of urban fine particles (PM2.5) on areas surrounding Chinese cities[J]. Scientific Reports, 2015, 5:12467.
    戴孟莲, 王彤, 邓海银, 等. 基于偏相关与逐步回归方法的AQI影响因素分析及预测[J]. 环境保护前沿, 2017, 7(3):191-201.
    陈优良, 陶天慧, 刘新意. 环鄱阳湖城市群空气质量时空分布[J]. 环境污染与防治, 2018, 40(12):1418-1424.
    罗岳平, 刘孟佳, 甘杰,等. 长株潭城市环境空气中PM2.5和O3质量浓度的相关性研究[J]. 安全与环境学报, 2015, 15(4):313-317.
    刘艳萍, 王明仕, 桂晨露,等. 中国工业基地城市群PM2.5时空分布特征及相关性分析[J]. 科学技术与工程, 2018, 18(15):184-189.
    李婷婷,尉鹏,程水源,等. 2005-2014年中三角城市群大气污染特征及变化趋势[J]. 环境工程学报, 2017, 11(5):2977-2984.
    LIU J Z, LI W F, WU J S, et al. Visualizing the intercity correlation of PM2.5 time series in the Beijing-Tianjin-Hebei region using ground-based air quality monitoring data[J]. Plos One, 2018, 13(2):e0192614.
    GONG Z Z, ZHANG X P. Assessment of urban air pollution and spatial spillover effects in China:cases of 113 key environmental protection cities[J]. Journal of Resources and Ecology, 2017, 8(6):584-594.
    SHEN Y, ZHANG L P, FANG X, et al. Spatiotemporal patterns of recent PM2.5 concentrations over typical urban agglomerations in China[J]. Science of the Total Environment, 2019, 655(3):13-26.
    JIANG L, BAI L. Spatio-temporal characteristics of urban air pollutions and their causal relationships:evidence from Beijing and its neighboring cities[J]. Scientific Reports, 2018, 8(1):1279.
    王访, 范毅.基于AMF-HXA的长株潭空气质量指数互相关性分析[J]. 环境保护前沿, 2017, 7(6):443-452.
    WANG F, WANG L, CHEN Y M. Detecting PM2.5's correlations between neighboring cities using a time-lagged cross-correlation coefficient[J]. Scientific Reports, 2017,7:10109.
    WANG F, WANG L, CHEN Y. A DFA-based bivariate regression model for estimating the dependence of PM2.5 among neighbouring cities[J].Scientific Reports, 2018,8(1):7475.
    PINCUS S M. Approximate entropy as a measure of system complexity[J]. PNAS,1991,88(6):2297-2301.
    PINCUS S M. Approximate entropy (ApEn) as a complexity measure[J]. Chaos, 1995,5(1):110-117.
    PINCUS S M. Quantifying complexity and regularity of neurobiological systems[J]. Methods in Neurosciences, 1995, 28:336-363.
    RICHMAN J S, RANDALL M J. Physiological time-series analysis, using approximate entropy and sample entropy[J]. American Journal of Physiology-Heart and Circulatory Physiology, 2000, 278(6):2039-2049.
    刘慧, 和卫星, 陈晓平. 生物时间序列的近似熵和样本熵方法比较[J]. 仪器仪表学报, 2004, 25(增刊):806-807,812.
    LIU L Z, QIAN X Y, LU H Y. Cross-sample entropy of foreign exchange time series[J]. Physica A:Statistical Mechanics and Its Applications, 2010, 389(21):4785-4792.
    COSTA M, GOLDBERGER A L, PENG C K. Multiscale entropy analysis of complex physiologic time series[J]. Physical Review Letters, 2007, 89(6):705-708.
    WU Y, SHANG P J, LI Y L. Multiscale sample entropy and cross-sample entropy based on symbolic representation and similarity of stock markets[J]. Communications in Nonlinear Science and Numerical Simulation, 2018, 56:49-61.
    PENG C K, BULDYREV S V, HAVLIN S, et al. Mosaic organization of DNA nucleotides[J]. Journal of Physical Review. E, 1994, 49(2):1685-1689.
    PENG C K, HAVLIN S, STANLEY H E, et al. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series[J]. Chaos, 1995, 5(1):82-87.
    KANTELHARDT J W, ZSCHIEGNER S A, KOSCIELNY-BUNDE E, et al. Multifractal detrended fluctuation analysis of nonstationary time series[J]. Physica A, 2002, 316(1/2/3/4):87-114.
    PODOBNIK B, STANLEY H E. Detrended cross-correlation analysis:a new method for analyzing two nonstationary time series[J]. Physical Review Letters, 2008, 100(8):084102.
    ZHOU W X. Multifractal detrended cross-correlation analysis for two nonstationary signals[J]. Physical Review E Statistical Nonlinear & Soft Matter Physics, 2008, 77(2):066211.
    XU W J, LIU C Q, SHI K, et al. Multifractal detrended cross-correlation analysis on NO, NO2 and O3 concentrations at traffic sites[J]. Physica A:Statistical Mechanics and Its Applications, 2018, 502:605-612.
    MANIMARAN P, NARAYANA A C. Multifractal detrended cross-correlation analysis on air pollutants of University of Hyderabad Campus, India[J]. Physica A:Statistical Mechanics and Its Applications, 2018, 502:228-235.
    XIONG H, SHANG P. Weighted multifractal cross-correlation analysis based on Shannon entropy[J]. Communications in Nonlinear Science and Numerical Simulation, 2016, 30(1/2/3):268-283.
    燕丽, 杜小申. 典型城市空气污染特征对比分析[J].中国环境管理, 2018, 10(6):92-98.
    汪伟全. 空气污染的跨域合作治理研究:以北京地区为例[J]. 公共管理学报, 2014, 11(1):55-64

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  • 收稿日期:  2019-05-14

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