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

Kaili ZHENG; Yi HUANG; Xiaoyun YAO; Xiaoyan HU

doi:10.3969/j.issn.1673-6141.2020.05.003

[1] Wang Shuwei. Building a new space of self-driving tourism based on the optimization of demand and supply-some suggestions on promoting the construction of middle-transition automobile camp[C]. Proceedings of the 2017 Annual meeting of China Tourism Science. China Institute of Tourism, 2017: 74-80 (in Chinese).

[2] Lu Yeqiang, Chen Qiufang, Sun Zai, et al. Ultrafine particle number concentration and size distribution of vehicle exhaust ultrafine particles[J]. Environmental Science, 2014, 35(09): 3309-3314 (in Chinese).

[3] Xu Chenxi, Chen Junhui, Han Li, et al. Analyses of pollution characteristics, ozone formation potential and sources of VOCs atmosphere in Chengdu city in summer 2017[J]. Research of Environmental Sciences, 2019, 32 (04): 619-626 (in Chinese).

[4] Huang Fan, Chen Nan, Zhou Jiabin, et al. Characteristics and source apportionment of PM2. 5 in urban areas of Wuhan during 2016-2017[J]. Environmental Monitoring in China, 2019, 35(01): 17-25 (in Chinese).

[5] Cheng Li, Zhang Tonghao, Fu Yang. Urban residents′s cognition of haze-fog weather and its impact on their urban tourism destination choice[J]. Tourism Tribune, 2015, 30(10): 37-47 (in Chinese).

[6] Becken S, Jin X, Zhang C, et al. Urban air pollution in China: Destination image and risk perceptions[J]. Journal of Sustainable Tourism, 2017, 25(1): 130-147.

[7] Qiao Xue, Xiao Weiyang, Tang Ya, et al. Contributions of local tourism and regional air pollution to atmospheric aerosols in Jiuzhaigou, Sichuan, China[J]. China Environmental Science, 2014, 34(01): 14-21 (in Chinese).

[8] Chang Jingliang, Yu Hong, Luo Weiwei, et al. Holiday effect of spring festival on PM2.5 pollution in Chang-Zhu-Tan metropolitan area[J]. Journal of Ecology and Rural Environment, 2016, 32(05):724-728 (in Chinese).

[9] Huang Yi, Liu Chunqiong, Xie Zhihui, et al. A self-organized analysis model for PM2.5 evolution investigation during a typical haze period in Chengdu based on the backward trajectories[J]. Journal of Safety and Environment, 2016, 16(01): 313-319 (in Chinese).

[10] Qiao Zh X, He H D, Yang B, et al. Multifractal property between ground-level ozone and nitrogen oxide concentrations in Hong Kong Port[J]. Research of Environmental Sciences, 2017, 30(1): 121-129.

[11] Wang H Y, Wang T T. Multifractal analysis of the Chinese stock, bond and fund markets[J]. Physica A, 2018, 512: 280-292.

[12] Marcin W, Stanislaw D, Pawel O, et al. Multifractal cross-correlations between the world oil and other financial markets in 2012-2017[J]. Energy Economics, 2019, 81: 874-885.

[13] Ruan Q S, Bao J J, Zhang M Q, et al. The effects of exchange rate regime reform on RMB markets: A new perspective based on MF-DCCA[J]. Physica A, 2019, 522: 122-134.

[14] Zhang C, Ni Z W, Ni L P. Multifractal detrended cross-correlation analysis between PM2.5 and meteorological factors[J]. Physica A, 2015, 438: 114-123.

[15] Zhang Saixin, He Hongdi, Zhang Jiping. Multifractal detrended cross-correlation analysis of PM2.5 and NOx in a port area and a non-port area[J]. Journal of Southwest University (Natural Science Edition), 2017, 39(08): 161-167 (in Chinese).

[16] Podobnik B, Stanley H E. Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series[J]. Physical Review Letters, 2008, 100(8): 84-102.

[17] Zhou W X. Multifractal detrended cross-correlation analysis for two nonstationary signals[J]. Physical Review E, 2008, 77(6): 066211.