Contribution from the primary and secondary sources to the atmospheric formaldehyde in Kolkata, India

Dutta, C.; Chatterjee, Arindam; Jana, T. K.; Mukherjee, A. K.; Sen, S. K.

doi:10.1016/j.scitotenv.2010.01.031

Cited by 27 publications

(15 citation statements)

References 16 publications

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“…The photolysis rates and the generation rates of hydroxyl radical were calculated for two periods, one in the morning (I: 8:00-12:00) and the other in the early afternoon (II: 12:00-16:00). For example, the generation rate of •OH (about 3.34±2.67×10 6 molecules cm −3 s −1 ) in early afternoon were faster than that in the morning (about 2.25±1.01×10 6 molecules cm −3 s −1 ), which was consistent with the studies conducted in Kolkata India (22°3′ N) (Dutta et al 2010). This demonstrated that formaldehyde was easier to be removed than other carbonyl compounds in the afternoon.…”

Section: Photodecomposition Loss and Hydroxyl Reaction Loss For Hcho supporting

confidence: 90%

“…Simply, the J-values summarized by Jenkin et al (1997) as a function of solar zenith angle (χ) were determined from the data using a two stream isotropic scattering model, for clear sky conditions at an altitude of 0.5 km (Dutta et al 2010). The variation of photolysis rate with solar zenith angle can be described by an expression of the following form and obtained by optimizing the values of the three parameters l, m, and n.…”

Section: Photodecomposition Loss and Hydroxyl Reaction Loss For Hcho mentioning

confidence: 99%

“…k=8.5×10 −12 cm 3 molecule −1 s −1 (298 K) (Atkinson et al 2006) The [•OH] was evaluated from the following equations assuming HCHO to be the only source of HO 2 •, although there could be other potential sources (Dutta et al 2010):…”

Section: Photodecomposition Loss and Hydroxyl Reaction Loss For Hcho mentioning

confidence: 99%

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Characteristics, loss and gain of atmospheric carbonyl compounds in winters of 2008–2010 in Pearl River Delta region, China

Liu

Чан

et al. 2013

J Atmos Chem

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Formaldehyde (HCHO), acetaldehyde (CH 3 CHO) and acetone (CH 3 In 2010, the recovery of industrial activities occurred, but affected by traffic restriction enforcement in Guangzhou over the Asian Games period, HCHO concentration (daytime 7.59±2.59 μg m −3 ) was lower than expectation. Carbonyl compounds in WQS site were highly influenced by regional pollution transport from different upwind urban cities and industrial districts in the north-northwest to northeast wind sector in winter. Also, the interaction of the winter monsoon with the warm ocean along the coastline as well as day and night boundary layer mixing height variation affected carbonyl compound concentrations in WQS. The daytime mean dry deposition losses of HCHO and CH 3 CHO were first time model-estimated for 2009 and 2010. For loss of HCHO in the early afternoon, photolysis was the dominant sink, followed by dry deposition and removal by OH radical J Atmos Chem (2013) COCH

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Section: Photodecomposition Loss and Hydroxyl Reaction Loss For Hcho supporting

confidence: 90%

Section: Photodecomposition Loss and Hydroxyl Reaction Loss For Hcho mentioning

confidence: 99%

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Characteristics, loss and gain of atmospheric carbonyl compounds in winters of 2008–2010 in Pearl River Delta region, China

Liu

Чан

et al. 2013

J Atmos Chem

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“…Both studies observed higher concentrations of C 6 -C 10 n-aldehydes in winter than in summer. Conversely, Dutta et al (2010) found lower concentrations in winter than in summer for hexanal and nonanal. In our study, C 6 -C 10 n-aldehydes concentrations were higher in summer than in winter, suggesting their predominant secondary origin.…”

Section: Seasonal Variations Of Vocsmentioning

confidence: 78%

Volatile and intermediate-volatility organic compounds in sub-urban Paris: variability, origin and importance for SOA formation

Ait-Helal¹,

Borbon²,

Sauvage³

et al. 2014

Preprint

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Abstract. Measurements of gaseous and particulate organic carbon were performed during the MEGAPOLI experiments, in July 2009 and January–February 2010, at the SIRTA observatory in sub-urban Paris. Measurements of primary and secondary volatile organic compounds (VOCs), of both anthropogenic and biogenic origins, including for the first time C12-C16 n-alkanes of intermediate volatility (IVOCs), suspected to be efficient precursors of secondary organic aerosol (SOA). The time series of gaseous carbon are generally consistent with times series of particulate organic carbon at regional scales and are clearly affected by meteorology and air mass origin. Concentration levels of anthropogenic VOCs in urban and sub-urban Paris were surprisingly low (2–963 ppt) compared to other megacities worldwide and to rural continental sites. Urban enhancement ratios of anthropogenic VOC pairs agree well between the urban and sub-urban Paris sites, showing the regional extent of anthropogenic sources of similar composition. Contrary to other primary anthropogenic VOCs (aromatics and alkanes), IVOCs showed lower concentrations in winter (< 5 ppt) compared to summer (13–27 ppt) in agreement with a gas-particle partitioning in favor of their transfer to the particle phase in winter. Higher concentrations of most oxygenated VOCs in winter (18–5984 ppt) suggest their dominant primary anthropogenic origin. The respective role of primary anthropogenic gaseous compounds in regional SOA formation was investigated by estimating the SOA mass concentration expected from the anthropogenic VOCs and IVOCs (I / VOCs) measured at SIRTA. From an approach based on emissions inferred from the I / VOC concentrations times the SOA formation yields', the so-called integrated approach conducted in this study, 46% of the SOA measured at SIRTA is explained by our measured concentrations of I / VOC, with 10% explained by only C12-C16 IVOCs. From results of an alternative time-resolved approach, the explained variability of the SOA concentrations is improved when the IVOCs are taken into account. Both approaches, which are based on ambient measurements of particular I / VOCs, emphasize the importance of the intermediate volatility compounds in the SOA formation, and support previous results from chamber experiments and modeling studies. The approaches results support the need to make systematic the IVOCs speciated measurement during field campaigns.

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“…Ozone is one of the reasons for smog as well as is a known greenhouse gas. It has become the point of discussion for South Asian countries (Lal et al 2012;Mittal et al 2007;Pulikesi et al 2006) where intense solar radiation stimulates photo-oxidative reactions (Dutta et al 2010) between VOCs and NO x . Both of them are the results of anthropogenic activities in rapidly developing congested urban areas.…”

Section: Introductionmentioning

confidence: 99%

Distribution of Ozone over Urban Kolkata: Observed vs. UAM-V Prediction

Talapatra

Majumdar

Srivastava

2014

Ozone: Science & Engineering

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Vehicular pollution, emissions due to burning of fossil fuel from industries and nonpoint sources in Kolkata are major sources of air pollution characterized by oxides of Nitrogen (NOx) and volatile organic compounds (VOCs). These pollutants are also responsible for the secondary ozone formation based on their reactivities. In the present study ozone has been monitored hourly every month in residential, industrial, traffic intersections, and petrol pumps in the urban area of Kolkata along with eight hourly nonoxygenated VOCs, carbonyls and NOx. Urban Airshed Model (UAM-V) has been used to simulate ozone on January 14, 2008 in Kolkata's urban Area. Results of predicted ground level ozone have been in agreement with observed ozone concentrations.

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Contribution from the primary and secondary sources to the atmospheric formaldehyde in Kolkata, India

Cited by 27 publications

References 16 publications

Characteristics, loss and gain of atmospheric carbonyl compounds in winters of 2008–2010 in Pearl River Delta region, China

Characteristics, loss and gain of atmospheric carbonyl compounds in winters of 2008–2010 in Pearl River Delta region, China

Volatile and intermediate-volatility organic compounds in sub-urban Paris: variability, origin and importance for SOA formation

Distribution of Ozone over Urban Kolkata: Observed vs. UAM-V Prediction

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