2019
DOI: 10.1016/j.atmosenv.2019.01.029
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Impacts of holiday characteristics and number of vacation days on “holiday effect” in Taipei: Implications on ozone control strategies

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Cited by 16 publications
(9 citation statements)
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“…(2017) had also had found that higher O 3 concentration after regulatory approached to reduced air pollutants in Beijing. Comparisons of O 3 concentrations before and after seasonal holidays conducted in China and Taiwan showed higher O 3 concentrations were observed during the holiday period due to the NO titration effect ( Chen et al., 2019 ; Tan et al., 2009 ; Xu et al., 2017 ). A study by Tan et al.…”
Section: Resultsmentioning
confidence: 99%
“…(2017) had also had found that higher O 3 concentration after regulatory approached to reduced air pollutants in Beijing. Comparisons of O 3 concentrations before and after seasonal holidays conducted in China and Taiwan showed higher O 3 concentrations were observed during the holiday period due to the NO titration effect ( Chen et al., 2019 ; Tan et al., 2009 ; Xu et al., 2017 ). A study by Tan et al.…”
Section: Resultsmentioning
confidence: 99%
“…In this study, the non-parametric Mann-Whitney U test, which does not require the data to be normally distributed ( Chen et al, 2019 ), was used to compare the pollutant concentrations and meteorological observations during the holidays and non-holidays, weekends and weekdays.…”
Section: Methodsmentioning
confidence: 99%
“…The holiday effect is due to changes in human activities which are influenced by lifestyle, urbanization, energy consumption structure, and traditional culture ( Forster and Solomon, 2003 ; Liu et al, 2019 ; Seidel and Birnbaum, 2015 ). When there is no clear weekend effect, the holiday effect provides a useful tool to identify changes in air quality due to changes in human activities ( Chen et al, 2019 ). Madhavi Latha and Highwood (2006) found coarse particulate matter (PM 10 ) concentrations are lower during the Christmas holidays than non-holidays in the United Kingdom, which are mainly due to reductions of local traffic emissions.…”
Section: Introductionmentioning
confidence: 99%
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