Fine particulate pollution and ambient air quality: A case study over an urban site in Delhi, India

Singh, J. S.; Gupta, Priya; Gupta, Deepak; Verma, Sunita; Prakash, Divya; Payra, Swagata

doi:10.1007/s12040-020-01495-w

Cited by 15 publications

(6 citation statements)

References 56 publications

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“…As a result of low atmospheric temperature and low wind speed, the atmosphere becomes stagnant which in turn traps the pollutants emitted locally (Payra et al, 2016 ; Kanawade et al, 2020 ). High relative humidity was also observed in winters which aggravate the secondary formation process (Singh et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…“Urban Aerosol Pollution Island (UAPI)” is defined as the higher concentration of particulate matter in an urban area than in the surrounding areas (Crutzen, 2004 ; Li et al, 2018 ). Airborne particulate matter includes all solid particles (fine or coarse) and liquid droplets (Singh et al, 2020 ). Based on aerodynamic diameter, particles are majorly sub-categorized into PM 10 and PM 2.5 .…”

Section: Introductionmentioning

confidence: 99%

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An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India

Singh

Payra

Mishra

et al. 2022

Environ Monit Assess

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The accent of the present study is determination of Urban Aerosol Pollution Island (UAPI) intensity and spatial variability in particulate matter concentration (PM 10 and PM 2.5 ) over Delhi. For analysis, the hourly concentration dataset of PM 2.5 and PM 10 from January 2019 to December 2020 was obtained from ten air quality monitoring stations of Delhi. Additionally, UAPI Index has been calculated to assess the intensity of particulate pollution. The daily, monthly, and annual variations in the trends of PM 10 , PM 2.5 , and UAPI index along with related meteorological parameters have been analyzed. Particulate pollution peaked majorly during two seasons, i.e., summer and winter. The highest concentration of PM 10 was observed to be 426.77 µg/m 3 while that of PM 2.5 was observed to be 301.91 µg/m 3 in January 2019 for traffic-affected regions. During winters, higher PM 2.5 concentration was observed which can be ascribed to increased local emissions and enhanced secondary particle formations. While the increase in PM 10 concentrations led to an increment in pollution episodes during summers over most of the sites in Delhi. The UAPI index was found to be declining in 2020 over traffic affected regions (77.92 and 27.22 for 2019 and 2020, respectively) as well as in the background regions (64.91 and 19.80 for 2019 and 2020, respectively) of Delhi. Low traffic intensity and reduced pollutant emission could have been responsible for the reduction of UAPI intensity in the year 2020. The result indicates that lockdown implemented to control the COVID-19 outbreak led to an unexpected decrease in the PM 10 pollution over Delhi.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India

Singh

Payra

Mishra

et al. 2022

Environ Monit Assess

Self Cite

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“…An attempt has been made to show that high fine particle levels during Nov are closely related to the CRB in the neighboring states of Delhi, mainly the Punjab region (Cusworth et al, 2018;Jethva et al, 2018;Montes et al, 2022;Rahman et al, 2022;J. Singh et al, 2020;Takigawa et al, 2020).…”

Section: Why November Shows Peak Levels: Stubble Crop Burningmentioning

confidence: 99%

“…VOCs) which get transported to the Delhi-NCR via the long-range transport (Jethva et al, 2018;J. Singh et al, 2020;Takigawa et al, 2020) resulting in excess fine particle loading over the city.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021

Chetna

Dhaka²,

Longiany³

et al. 2023

Aerosol Air Qual. Res.

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Trends and Variability of PM2.5 at different time scales over Delhi: long-term analysis 2007 -2021 Highlights  PM2.5 showed an overall small declining trend over Delhi during 2007-2021.  Planetary boundary layer height (PBLH) and wind speed showed a decreasing trend. Temperature and rainfall showed no trend, pressure and RH showed a rising trend. Relative humidity displayed an inverted U-shape relationship with PM2.5. Stubble burning contributes significantly to Delhi's PM2.5 levels during Oct-Nov.

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“…At the same time, industrial agglomeration brings about centralized pollution control and pollution outsourcing, which can improve production efficiency and thus alleviate haze pollution [17]. The "learning effect" and "competition effect" brought about by knowledge spillover will eventually promote technological progress, adjust the regional industrial structure, promote regional green production, and thus reduce haze pollution [18,19]. Studies suggesting that industrial agglomeration exacerbates haze pollution are based on the "crowding effect" hypothesis [20], which suggests that industrial agglomeration creates severe economic competition and that the pressure on enterprises to survive leads to unsustainable production behaviour [21].…”

Section: Introductionmentioning

confidence: 99%

Should There Be Industrial Agglomeration in Sustainable Cities?: A Perspective Based on Haze Pollution

Ping-ping

Yuan-yuan

2021

Sustainability

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Haze pollution is a problem that cannot be ignored in the process of building sustainable cities, and while shifting industrial enterprises can solve the problem at the root, it is not conducive to the sustainable development of urban economies. This paper discusses the role of industrial agglomeration on urban pollution amelioration (haze pollution) using a sample of 253 prefecture-level cities in China. The highlight of this paper is the study of economic and environmental factors in the development of sustainable cities in the same framework and a series of econometric treatments that greatly increase the accuracy of the empirical evidence. Research intuitively shows that China’s haze pollution is clustered in spatial distribution and is spatially heterogeneous in concentration. With the passage of time, haze pollution has a tendency to move from an H–H concentration area to an L–L concentration area. The regression results show that an increase in the scale of local industrial agglomeration will lead to a decrease in local haze pollution; but an increase in the scale of local industrial agglomeration will lead to an increase in haze pollution in adjacent areas. Industrial agglomeration has significant spatial spillover effects, which are spatially heterogeneous. In addition, spillover effects between regions are greater than those within regions. After replacing the spatial weight matrix and controlling the endogenous problem using the instrumental variable method, the conclusion is still robust.

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Fine particulate pollution and ambient air quality: A case study over an urban site in Delhi, India

Cited by 15 publications

References 56 publications

An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India

An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India

Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021

Should There Be Industrial Agglomeration in Sustainable Cities?: A Perspective Based on Haze Pollution

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