短周期高强度旅游活动对城市空气质量的影响

大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (1): 36-46.

短周期高强度旅游活动对城市空气质量的影响

杜娟 1,2, 欧阳文言 1, 刘春琼 3*, 吴波 1, 张娇 1, 史凯 3

1 吉首大学数学与统计学院, 湖南吉首 416000; 2 洪江高新技术产业开发区 (洪江市) 管理委员会, 湖南怀化 418000; 3 吉首大学生物资源与环境科学学院, 湖南吉首 416000

收稿日期:2020-10-09 修回日期:2020-12-12 出版日期:2023-01-28 发布日期:2023-02-08
通讯作者: E-mail: liuchunqiong@163.com E-mail:liuchunqiong@163.com
作者简介:杜娟 (1995- ), 女, 贵州铜仁人, 硕士研究生, 主要从事应用统计方面的研究。 E-mail: dumin0014@163.com
基金资助:
国家自然科学基金项目 (52160024), 湖南省自然科学基金项目 (2022JJ30475)

Influence of short-duration high-strength tourism activities on urban air quality

DU Juan 1, 2, OUYANG Wenyan 1, LIU Chunqiong 3*, WU Bo 1, ZHANG Jiao 1, SHI Kai 3

1 College of Mathematic and Statistics, Jishou University, Jishou 416000, China; 2 Management Commission of High-Tech Industrial Development Zone in Hongjiang, Huaihua 418000, China; 3 College of Biology and Environmental Science, Jishou University, Jishou 416000, China

Received:2020-10-09 Revised:2020-12-12 Published:2023-01-28 Online:2023-02-08
Contact: Chunqiong Liu E-mail:liuchunqiong@163.com

摘要/Abstract

摘要： 为定量研究短周期高强度旅游活动对城市空气质量的影响，提出一种综合集合经验模态分解和去趋势互相关分析的模型 (EEMD-DCCA)，研究了2015 年张家界市武陵源景区旅游人数的变化对大气NO2浓度的影响。首先，通过EEMD方法，获得武陵源景区旅游人数与城市空气中NO2浓度的高频分量；进一步，通过DCCA方法研究旅游人数高频分量和NO2浓度之间的相关性。结果表明，两组旅游人数高频分量与NO2浓度之间均呈正相关性，且具有长期持续性特征，这意味着短周期节假日旅游人数的剧增会持续影响未来一定时间尺度内大气NO2浓度的变化趋势。在武陵源景区的研究表明所提的分析模型可以为定量评估旅游活动对自然景区空气质量的影响提供新的研究途径。

关键词: 旅游, NO2, 集合经验模态分解法, 去趋势互相关分析法, 长期持续性

Abstract: To quantitatively study the impact of short-duration high-strength human tourism activities on urban air quality, a novel model (EEMD-DCCA) integrating ensemble empirical mode decomposition (EEMD) and detrended cross-correlation analysis (DCCA) was proposed and applied to study the impact of the number of tourists in Wulingyuan scenic spot of Zhangjiajie on local atmospheric NO2 concentration in 2015. The high-frequency components of the number of tourists in Wulingyuan scenic spot and the concentration of NO2 in Zhangjiajie City were obtained firstly through EEMD. And then, DCCA method was used to analyze the correlation between high-frequency components of the number of tourists and NO2 concentration. The results show that there is a significant positive correlation between the two groups of the high-frequency components of the tourist number and NO2 concentration in Zhangjiajie, and the positive correlation has a long-term sustainability feature, which means that the rapid increase of the number of tourists in short-duration holidays will continue to affect the future change trend of NO2 concentration in a certain time scale. The research in Wulingyuan scenic area shows that the model proposed can provide a new research approach for quantitative assessment of the impact of tourism activities on the air quality of natural scenic spots.

Key words: tourism;NO2, ensemble empirical mode decomposition, detrended cross-correlation analysis; long term correlation

中图分类号:

杜娟, 欧阳文言, 刘春琼, 吴波, 张娇, 史凯 . 短周期高强度旅游活动对城市空气质量的影响[J]. 大气与环境光学学报, 2023, 18(1): 36-46.

DU Juan , , OUYANG Wenyan , LIU Chunqiong , WU Bo , ZHANG Jiao , SHI Kai . Influence of short-duration high-strength tourism activities on urban air quality[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 36-46.

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