Abstract:BackgroundThe elevation and dissipation of pollutants after the ignition of fireworks in different functional areas of a valley city were investigated.MethodsThe Air Quality Index (AQI) as well as inter-day and intra-day concentrations of various air pollutants (PM10, PM2.5, SO2, NO2, CO, O3) were measured during two episodes that took place during Chinese New Year festivities.ResultsFor the special terrain of Jinan, the mean concentrations of pollutants increased sharply within 2–4 h of the firework displays,… Show more
“…It is argued that air quality gets worse in the aftermath of Diwali, on account of firecrackers that get burned during the festival. The link between firecracker burning and air pollution has been established in other regions (for example, [ 5 ]). This has resulted in calls for banning the sale of firecrackers, and in 2017, the Supreme Court of India did order such a ban.…”
Delhi has had the distinction of being one of the most polluted cities in the world, especially in the winter months from October—January. These months coincide with the religious festival of Diwali. It is argued that air quality gets worse in the aftermath of Diwali on account of firecrackers that get burned during the festival. We use hourly data on PM 2.5 particulate concentration from 2013 to 2017 to estimate the Diwali effect on air quality in Delhi. We improve on existing work by using the event study technique as well as a difference-in-difference regression framework to estimate the Diwali effect on air quality. The results suggest that Diwali leads to a small, but statistically significant increase in air pollution. The effect is different across locations within Delhi. To our knowledge, this is the first causal estimate of the contribution of Diwali firecracker burning to air pollution.
“…It is argued that air quality gets worse in the aftermath of Diwali, on account of firecrackers that get burned during the festival. The link between firecracker burning and air pollution has been established in other regions (for example, [ 5 ]). This has resulted in calls for banning the sale of firecrackers, and in 2017, the Supreme Court of India did order such a ban.…”
Delhi has had the distinction of being one of the most polluted cities in the world, especially in the winter months from October—January. These months coincide with the religious festival of Diwali. It is argued that air quality gets worse in the aftermath of Diwali on account of firecrackers that get burned during the festival. We use hourly data on PM 2.5 particulate concentration from 2013 to 2017 to estimate the Diwali effect on air quality in Delhi. We improve on existing work by using the event study technique as well as a difference-in-difference regression framework to estimate the Diwali effect on air quality. The results suggest that Diwali leads to a small, but statistically significant increase in air pollution. The effect is different across locations within Delhi. To our knowledge, this is the first causal estimate of the contribution of Diwali firecracker burning to air pollution.
“…In USA, short-term increases in PM concentrations as well as its constituents have been reported during the Independence Day (July 4 th ) fireworks (Wang et al, 2012), and in one analysis, several stations were found to exceed the 24h National Ambient Air Quality Standard [NAAQS] for PM2.5 (35 µg/m 3 ) during the event (Seidel and Birnbaum, 2015). Similarly, in China, a number of studies have reported significant elevation in pollutant concentrations during Chinese New Year activities (Carranza et al, 2001;Han et al, 2014;Lai and Brimblecombe, 2017;Li et al, 2017;Li et al, 2013;Shi et al, 2014;Song et al, 2017). Wang et al (2007) (Ambade, 2018;Barman et al, 2008;Gautam et al, 2018;Kumar et al, 2016a;Rao et al, 2012;Yerramsetti et al, 2013).…”
Section: Air Quality During Firework Eventsmentioning
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“…Analysis of the simultaneous characteristics of these six air pollutants can help the public, scientists and policy makers gain a comprehensive understanding of the air quality. Some studies have evaluated air quality according to CAAQS [29,30]. Ji et al conducted an analysis of two regional events in northern China between October and November 2009, using PM 10 , SO 2 and NO x data collected in 24 monitoring sites [30].…”
Section: Introductionmentioning
confidence: 99%
“…Ji et al conducted an analysis of two regional events in northern China between October and November 2009, using PM 10 , SO 2 and NO x data collected in 24 monitoring sites [30]. Song et al measured the Air Quality Index (AQI), as well as concentration of various air pollutants (PM 10 , PM 2.5 , SO 2 , NO 2 , CO, O 3 ) during two episodes of Chinese New Year festivities in the city of Jinan [29]. However, due to the lack of high spatial-temporal resolution data (most monitoring site in China began collecting air pollutant data in January 2014, whereas some cities such as Putian and Nangping began collecting data in January 2015), not many studies have focused on all the six criteria air pollutants.…”
Air pollution has become a critical issue in the urban areas of southeastern China in recent years. A complete understanding of the tempo-spatial characteristics of air pollution can help the public and governmental bodies manage their lives and work better. In this study, data for six criteria air pollutants (including particulate matter (PM2.5, PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3)) from 37 sites in nine major cities within Fujian Province, China were collected between January 2015 to December 2016, and analyzed. We analyzed the spatial and temporal variations of these six criteria pollutants, as well as the attainment rates, and identified what were the major pollutants. Our results show that: (1) the two-year mean values of PM2.5 and PM10 exceeded the Chinese National Ambient Air Quality Standard (CAAQS) standard I levels, whereas other air pollutants were below the CAAQS standard I; (2) the six criteria air pollutants show spatial variations (i.e. most air pollutants were higher in the city center areas, followed by suburban areas and exurban areas, except for O3; and the concentrations of PM10, PM2.5, NO2, O3 were higher in coastal cities than in inland cities); (3) seasonal variations and the no attainment rates of air pollutants were found to be higher in cold seasons and lower in warm seasons, except for O3; (4) the most frequently present air pollutant was PM10, with PM2.5 and O3 being the second and third most frequent, respectively; (5) all the air pollutants, except O3, showed positive correlations with each other. These results provide additional information for the effective control of air pollution in the province of Fujian.
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