大气与环境光学学报 ›› 2020, Vol. 15 ›› Issue (5): 347-356.

• 环境光学监测技术 • 上一篇    下一篇

张家界市PM2.5、NO2 与旅游活动及天气因素的相关性分析

郑凯莉1, 黄 毅2∗, 姚小云1, 胡晓琰1
  

  1. 1 吉首大学旅游与管理工程学院, 湖南 张家界 427000; 2 吉首大学数学与统计学院, 湖南 吉首 416000
  • 收稿日期:2019-07-31 修回日期:2019-08-30 出版日期:2020-09-28 发布日期:2020-09-28
  • 通讯作者: 黄毅:E-mail: huangy0014@163.com. E-mail:huangy0014@163.com
  • 作者简介:郑凯莉 ( 1992- ), 女, 重庆涪陵人, 硕士研究生, 主要从事大气环境的非线性和复杂性研究。 E-mail: 3499271451@qq.com
  • 基金资助:
    Supported by National Natural Science Foundation (国家自然科学基金, 41603128), General Project of Hunan Education Department (湖南省 教育厅一般项目, 19C1515), Open Fund for key Laboratories of Ecotourism in Hunan Province (生态旅游湖南省重点实验室开放基金, STLV812), Scientific Research Project of Natural Science Graduate students in Jishou University (Jdy1840).


Correlation Between PM2.5, NO2 and Tourism Activities, Weather Factors in Zhangjiajie City

ZHENG Kaili1, HUANG Yi2∗, YAO Xiaoyun1, HU Xiaoyan1 #br#   

  1. 1 College of Tourism and Management Engineering, Jishou University, Zhangjiajie 427000, China; 2. College of Mathematic and Statistics, Jishou University, Jishou 416000, China
  • Received:2019-07-31 Revised:2019-08-30 Published:2020-09-28 Online:2020-09-28

摘要: 为探索生态旅游城市张家界市大气 PM2.5、 NO2 浓度与旅游活动及天气因素间的相关性, 运用多重分形去除 趋势波动交叉分析法 (MFDCCA) 进行分析。首先验证了张家界市大气 PM2.5、 NO2 浓度与旅游活动及天气因素间的 交叉相关性和多重分形特征。然后通过对旅游淡旺季大气 PM2.5、 NO2 浓度与旅游人数、平均气温及相对湿度的多 重分形特征的详细分析, 发现在旅游淡季, 大气 PM2.5和NO2 浓度在相对湿度影响下波动范围更大, 且更倾向于出现 较低浓度值; 而在旅游旺季, 大气 PM2.5 和 NO2 浓度在旅游活动影响下波动范围更大, 且更倾向于出现高浓度值。


Abstract: To explore the correlation between the concentrations of PM2.5, NO2 in atmosphere and tourism activities as well as weather factors in Zhangjiajie, China, an ecotourism city, the method of multifractal detrended crosscorrelation analysis (MFDCCA) was used. Firstly, the cross-correlation test was carried out and the results indicate that cross-correlation behaviors exist statistically between them.Then the multifractal characteristics between PM2.5, NO2 and number of tourists, average temperature and relative humidity in both low and high tourism seasons were compared. It is found that in the off-season of tourism, PM2.5 and NO2 concentration of Zhangjiajie is affected by relative humidity in a wide range of fluctuations, and is more likely to have lower concentrations. While in the peak tourism season, PM2.5 and NO2 concentration of Zhangjiajie fluctuates widely under the influence of tourism activities, and tends to appear high concentration values.


Key words: multifractal, method of multifractal detrended cross-correlation, PM2.5, NO2, Zhangjiajie

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