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

ZHAO Wen-cheng; WANG Fang

doi:10.13205/j.hjgc.202002013

Volume 38 Issue 2

Feb. 2020

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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

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

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

doi: 10.13205/j.hjgc.202002013

ZHAO Wen-cheng,
WANG Fang^,

College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China

Received Date: 2019-05-14

Abstract

Abstract

In order to study the consistency between air quality index (AQI) and various concentration series of pollutants in a city, as well as the similarities of each pollutant between its neighbor cities, a multi-scale cross-trend sample entropy (MCTSE) was proposed in this paper. The new method could be used to characterize the consistency of two series, and each of which had trend on different scales. It was applied to investigate the consistency between AQI and concentration series of PM_2.5, PM₁₀, SO₂, NO₂, CO and O₃ in four seasons in Changsha, Zhuzhou and Xiangtan. The same method was also used to study the similarities of each pollutant between every two of these three cities. It provided a theoretical basis for finding pollution sources that affected the air quality of these cities and jointly preventing and controlling air pollution. Finally, the aim of air pollution prevention and control was formulated, and the feasible countermeasures were put forward.
- multiscale cross trend sample entropy,
- air quality index,
- air pollution indicator,
- PM_2.5

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References(39)

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