Ozone distributions and urban air quality during summer in Agra – a world heritage site

Saini, Rajkumar; Singh, P. K.; Awasthi, Brij B.; Kumar, Krishan; Taneja, Ajay

doi:10.5094/apr.2014.089

Cited by 33 publications

(21 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Higher levels of humidity slow down the photochemical process due to its association with greater cloud abundance, atmospheric instability and low incoming SR (Saini et al 2014). Also, the surface ozone is depleted through the deposition of its molecules on water droplets (Londhe et al 2008).…”

Section: Correlation Analysis Of Ozone Pm 10 and Pm 25 With Meteormentioning

confidence: 99%

The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain

et al. 2019

View full text Add to dashboard Cite

Ozone and particulate matter (PM), PM 10 and PM 2.5 , were monitored along with meteorological parameters at a semi-urban location, Patiala, in the northwestern Indo-Gangetic plain from December 2013 to November 2014. The annual mean concentration levels of PM 10 , PM 2.5 and ozone were recorded as 178 μg m −3 , 88 μg m −3 and 39 ppb, which also exceeded the national standards on a 24-h average basis, by 77.3% (335 days), 53.2% (338 days) and 20 days, respectively. High levels of PM (PM 10 and PM 2.5) were observed in winter (58-381 and 42-270 μg m −3) and in the post-monsoon (71-320 and 39-320 μg m −3) season and a rise in the level of ozone was observed in summer (22-72 ppb) and in the post-monsoon season (23-73 ppb), respectively. The rate of ozone production was the highest during the post-harvest fire period (3.94 ppb O 3 /h in May and 4.23 ppb O 3 /h in November). A Pearson correlation study showed the strong dependency of PM and ozone on meteorological variables. Relative humidity has the highest ranking for ozone and PM 10 , while wind speed has the lowest rank for ozone, PM 10 and PM 2.5 in the order of factors affecting the level of pollutants. The generalised linear model and the neural network model (for ozone) and the random forest model (for PM) outperformed on the basis of performance indices and further cross-validation was done.

show abstract

Section: Correlation Analysis Of Ozone Pm 10 and Pm 25 With Meteormentioning

confidence: 99%

The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In this study, we use the U.S. Environmental Protection Agency's Community Multi-Scale Air Quality Model (CMAQ) to simulate recent air quality conditions for the Indian subcontinent using anthropogenic emissions from the Greenhouse Gas-Air Pollution Interactions and Synergies (GAINS) model following version 5a of the Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants project (ECLIPSE v5a). Previous assessments of the region have relied on statistical modeling of pollution levels in urban areas [Chaudhuri and Dutta, 2014;Mishra and Goyal, 2015], urban and industrial dispersion modeling [Kumar and Goyal, 2014;Saini et al, 2014;Aggarwal and Jain, 2015;Gulia et al, 2015], and evaluating sector contributions [Guttikunda and Jawahar, 2012;Gupta and Mohan, 2013;Chambliss et al, 2014;Sharma et al, 2016]. Although a few studies have sought to use advanced chemistry and transport models to evaluate Indian air quality [Ghude et al, 2013;Guttikunda and Jawahar, 2014], and CMAQ has previously been used in larger East Asian domains [Chatani et al, 2014;Park, 2015], over Bangladesh [Muntaseer Billah Ibn Azkar et al, 2012], and to assess ground-level O 3 in India [Sharma et al, 2016]…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Constraining the uncertainty in emissions over India with a regional air quality model evaluation

Karambelas

Holloway

Kiesewetter

et al. 2018

Atmospheric Environment

View full text Add to dashboard Cite

To evaluate uncertainty in the spatial distribution of air emissions over India, we compare satellite and surface observations with simulations from the U.S. Environmental Protection Agency (EPA) Community Multi-Scale Air Quality (CMAQ) model. Seasonally representative simulations were completed for January, April, July, and October 2010 at 36km x 36km using anthropogenic emissions from the Greenhouse Gas-Air Pollution Interaction and Synergies (GAINS) model following version 5a of the Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants project (ECLIPSE v5a). We use both tropospheric columns from the Ozone Monitoring Instrument (OMI) and surface observations from the Central Pollution Control Board (CPCB) to closely examine modeled nitrogen dioxide (NO 2) biases in urban and rural regions across India. Spatial average evaluation with satellite retrievals indicate a low bias in the modeled tropospheric column (-63.3%), which reflects broad low-biases in majority non-urban regions (-70.1% in rural areas) across the sub-continent to slightly lesser low biases reflected in semi-urban areas (-44.7%), with the threshold between semi-urban and rural defined as 400 people per km 2. In contrast, modeled surface NO 2 concentrations exhibit a slight high bias of +15.6% when compared to surface CPCB observations predominantly located in urban areas. Conversely, in examining extremely population dense urban regions with more than 5000 people per km 2 (dense-urban), we find model overestimates in both the column (+57.8) and at the surface (+131.2%) compared to observations. Based on these results, we find that existing emission fields for India may overestimate urban emissions in densely populated regions and underestimate rural emissions. However, if we rely on model evaluation with predominantly urban surface observations from the CPCB, comparisons reflect model high biases, contradictory to the knowledge gained using satellite observations. Satellites thus serve as an important emissions and model evaluation

show abstract

“…Indoor air pollution has been tagged in the list of top five environmental risks by US Environmental Protection Agency (USEPA) [2]. The heavy metals in particulate matter which were inhaled in elevated concentration are suggested to impact harsh toxic and carcinogenic effects on humans [3][4][5]. Nevertheless, illness related to respiratory and cardiovascular issues, even potential carcinogenicity, is also a direct consequence of long-term exposure to the contaminant residing in indoor air [6].…”

Section: Introductionmentioning

confidence: 99%

Particulate and trace metal emission from mosquito coil and cigarette burning in environmental chamber

et al. 2019

Self Cite

View full text Add to dashboard Cite

The objectives of this study were to characterize the emissions of indoor air pollutants from the burning of mosquito coils and cigarettes using a closed environmental chamber, to compare air pollutant emissions from different types of mosquito coils and cigarettes, which are popular in Indian market; to quantify emissions from burning of mosquito coils and cigarettes with respect to particulate matter (PM 0.25 , PM 1.0 , PM 2.5 , and PM 10) and metals. Smoke contains several thousands of chemicals and heavy metals, and most of them are formed during the burning of cigarettes and burning of mosquito coils. The present study attempts to characterize the emissions of PM and heavy metals from different types of mosquito coils and cigarettes burning which were monitored in three different phases pre-burning, during burning, and post-burning. Five different brands of cigarette and mosquito coils were taken which are commonly used in India. Samples collected were analyzed for heavy metal (Al, Cu, Zn, Cd, Cr, Mn, Ni, Pb, V, Se, and Sc) concentration using ICP-AES, and the morphological analysis was performed with the help of scanning electron microscopy. The trend of concentration of PM in mosquito coil is followed as M1 > M3 > M2 > M4 > M5, and in a cigarette it was C5 > C2 > C4 > C3 > C1. The study suggests that burning of mosquito coil and a cigarette in the indoor environment emits quiet higher respirable PM, which may on prolonged exposure lead to illnesses. The maximum concentration of Al, Cu, Zn and Mn was found higher, while that of Cd, V and Se was below the detection limit in both types of samples. Calculations were made to explore expected cancer and non-cancer risks, using published toxicity potentials for three metals (Cr, Pb, and Ni). Hazards quotient values for adults were under safe limit. The order of excess cancer risk for the carcinogenic elements follows the similar trend for both cigarette and mosquito coils in adults; it was observed as Pb < Ni < Cr. Overall, the cancer risk was below the acceptable level (10 −4-10 −6).

show abstract

Ozone distributions and urban air quality during summer in Agra – a world heritage site

Cited by 33 publications

References 32 publications

The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain

The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain

Constraining the uncertainty in emissions over India with a regional air quality model evaluation

Particulate and trace metal emission from mosquito coil and cigarette burning in environmental chamber

Contact Info

Product

Resources

About