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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。
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  • 收稿日期:  2019-05-14

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