Our study is aimed to investigate the effects of holiday day numbers and weather systems on holiday effects, defined as the differences in air pollutant concentrations of holiday periods minus those of non-holiday periods, over the Taipei metropolitan area through 13-station surface measurements of Taiwan Environmental Protection Administration during the Chinese New Year (CNY) and non-Chinese New Year (NCNY) periods of 1994-2009. This holiday effect can be applied to other countries with similar national or cultural holidays. Daily surface measurements of six major air pollutants from thirteen air quality monitoring stations have holiday effects (p< 0.05) under different holiday day numbers and different weather systems. The holiday effect has a consistent sign for each pollutant: negative for NOx, CO, NMHC, SO2 and PM10, and positive for O3. Negative (Positive) holiday effects mean that concentrations are higher (lower) in the NCNY period than in the CNY period. Holiday effects and CNY concentrations of six air pollutants have no statistically significant relationship with holiday day numbers, implying no significant changes in holiday effects and CNY concentrations of six air pollutants under longer holiday day numbers. Robust holiday effects of air pollutants under different weather systems suggest a dominance of local processes instead of remote transports. The amplitudes and percentage changes of holiday effects of pollutants are lower in the frontal system than in the local and dust storm weathers, where those of the latter two are comparable. Overall, holiday day numbers and weather systems separately will affect the strengths of holiday effects of pollutants, but not their significances. Further examination of different holiday day numbers under different weather systems shows that holiday effects of NOx and CO are robust and have a consistent sign; those of four other pollutants will be slightly affected by frontal systems and dust storm weathers, however, will not be affected by local weathers for different holiday day numbers.
Our study is aimed to investigate the effects of holiday day numbers and weather systems on holiday effects, defined as the differences in air pollutant concentrations of holiday periods minus those of non-holiday periods, over the Taipei metropolitan area through 13-station surface measurements of Taiwan Environmental Protection Administration during the Chinese New Year (CNY) and non-Chinese New Year (NCNY) periods of 1994-2009. This holiday effect can be applied to other countries with similar national or cultural holidays. Daily surface measurements of six major air pollutants from thirteen air quality monitoring stations have holiday effects (p< 0.05) under different holiday day numbers and different weather systems. The holiday effect has a consistent sign for each pollutant: negative for NOx, CO, NMHC, SO2 and PM10, and positive for O3. Negative (Positive) holiday effects mean that concentrations are higher (lower) in the NCNY period than in the CNY period. Holiday effects and CNY concentrations of six air pollutants have no statistically significant relationship with holiday day numbers, implying no significant changes in holiday effects and CNY concentrations of six air pollutants under longer holiday day numbers. Robust holiday effects of air pollutants under different weather systems suggest a dominance of local processes instead of remote transports. The amplitudes and percentage changes of holiday effects of pollutants are lower in the frontal system than in the local and dust storm weathers, where those of the latter two are comparable. Overall, holiday day numbers and weather systems separately will affect the strengths of holiday effects of pollutants, but not their significances. Further examination of different holiday day numbers under different weather systems shows that holiday effects of NOx and CO are robust and have a consistent sign; those of four other pollutants will be slightly affected by frontal systems and dust storm weathers, however, will not be affected by local weathers for different holiday day numbers.