旅游活动强度变化下旅游地大气PM2.5浓度响应研究

大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (6): 471-482.

旅游活动强度变化下旅游地大气PM2.5浓度响应研究

彭立平1, 黄毅1∗, 郑凯莉2

1 吉首大学数学与统计学院, 湖南吉首 416000; 2 吉首大学旅游与管理工程学院, 湖南张家界 427000

收稿日期:2020-07-09 修回日期:2021-10-09 出版日期:2021-11-28 发布日期:2021-11-28
通讯作者: E-mail: huangy0014@163.com E-mail:huangy0014@163.com
作者简介:彭立平 (1988 - ), 湖南永顺人, 硕士, 讲师, 主要从事应用统计及管理方面研究。 E-mail: 631997286@qq.com
基金资助:
Supported by National Natural Science Foundation (国家自然科学基金, 52160024), 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, STLV1812)

Response of Atmospheric PM2.5 Concentration to Tourist Activities in Destinations Under Different Tourism Activity Intensity

PENG Liping1, HUANG Yi1∗, ZHENG Kaili2

1 Department of Mathematic and Statistics, Jishou University, Jishou 416000, China; 2 Department of Tourism and Administrative Engineering, Jishou University, Zhangjiajie 427000, China

Received:2020-07-09 Revised:2021-10-09 Published:2021-11-28 Online:2021-11-28

摘要/Abstract

摘要： 为探索生态旅游城市大气 PM2:5 浓度在旅游活动强度变化下的响应机制, 首先基于多重分形消除趋势波动分析法, 分别对张家界市大气 PM2:5 平均日浓度和旅游人数的时间序列进行了多重分形特征分析, 结果显示 PM2:5 和旅游人数的时间序列在演化过程中具有非线性、复杂的多重分形特征, 且 PM2:5 的多重分形特征强于旅游人数。进一步利用多重分形消除趋势交叉波动分析方法研究了 PM2:5 和旅游人数的交叉相关性, 发现二者之间不仅存在具有长期持续性的多重分形特征, 而且其相关性的多重分形特征受旅游活动强度变化影响明显, 表现为旅游旺季强于旅游淡季。最后, 运用后向轨迹模型分析了张家界市旅游淡旺季 PM2:5 污染物的空间来源, 发现张家界市大气 PM2:5 污染物主要源于局地污染源排放, 从侧面验证了旅游活动是张家界市大气 PM2:5 浓度的主要影响因素。

关键词: PM2.5, 多重分形, 后向轨迹, 旅游活动, 张家界

Abstract: In order to explore the response mechanism of PM2:5 concentration in ecotourism cities under the change of tourism activity intensity, the multifractal characteristics of PM2:5 and tourist population in Zhangjiajie City, China are analyzed respetively by using multifractal detrended fluctuation analysis method. The results show that the evolution of PM2:5 and tourist population has nonlinear and complex multifractal characteristics, and the multifractal characteristics of PM2:5 was stronger than that of tourists population. Furthermore, the cross-correlation between PM2:5 and tourism population is studied by using multifractal detrended cross-correlation analysis method. It′s found that not only there are multifractal characteristics with long-term sustainability between them, but also the multifractal characteristics of their correlation are obviously affected by the intensity of tourism activities, which shows that the multifractal characteristics in tourism peak season is stronger than that in slack tourism season. Finally, the backward trajectory model is used to analyze the spatial source of PM2:5 pollutants in Zhangjiajie during peak and slack tourism seasons. The results show that the PM2:5 pollutants in Zhangjiajie are mainly due to the local emissions, which indicates that tourism activity is the main influencing factors of PM2:5 in Zhangjiajie City.

Key words: PM2.5, multifractal, backward trajectory model, tourism activity, Zhangjiajie City

中图分类号:

X513

彭立平, 黄毅∗, 郑凯莉. 旅游活动强度变化下旅游地大气PM2.5浓度响应研究[J]. 大气与环境光学学报, 2021, 16(6): 471-482.

PENG Liping, HUANG Yi∗, ZHENG Kaili. Response of Atmospheric PM2.5 Concentration to Tourist Activities in Destinations Under Different Tourism Activity Intensity[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(6): 471-482.

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