Seasonal variation and sources of aerosol pollution in Delhi, India

Mandal, Papiya; Sarkar, Raju; Mandal, Anubha; Saud, T.

doi:10.1007/s10311-014-0479-x

Cited by 36 publications

(9 citation statements)

References 13 publications

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“…Since the sampling site is situated near the busy road so emission from vehicular activities might have contributed slightly higher EC concentration in comparison to other seasons. A similar pattern of variation in different carbon subfractions was reported in Delhi [36,75].…”

Section: Carbon Subfractions In Pmsupporting

confidence: 85%

“…In the atmosphere, biomass burning, emissions from vehicular movement, incomplete combustion of fossil fuel, coal combustion and brick kiln are the important anthropogenic sources of carbonaceous species [21,22]. In recent years, variation in mass concentrations, source identification, and adverse impacts of BC or EC, and OC have been broadly studied at various locations of the world [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. A brief summary of the OC/EC study carried out in different parts of the world is presented in Table 1.…”

Section: Introductionmentioning

confidence: 99%

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Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Singh

Srivastava

2020

SN Appl. Sci.

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Section: Carbon Subfractions In Pmsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Singh

Srivastava

2020

SN Appl. Sci.

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“…Previous studies revealed that seasonal variations are greatly influenced by meteorological conditions like relative humidity, ambient temperature, wind speed, and wind direction. 31 – 34 In terms of seasonal distribution, the celebrations of Diwali and stubble burning during the autumn season were the main cause for spikes in PM concentrations. 18 , 38 Other than November, the highest pollutant concentrations occurred during the winter months and a general trend of lower values occurred during the monsoon season.…”

Section: Discussionmentioning

confidence: 99%

“…The reason for such high concentrations during autumn and winter was the calm and stable atmospheric conditions with lower mixing height, lower wind speed and decreased ambient temperature, hence, air pollutants were not able to disperse into the atmosphere and led to higher concentration of pollutants in ambient air. 34 , 39 – 41 During the monsoon season, frequent rain washes down the airborne particulates and results in a reduction in PM concentrations.…”

Section: Discussionmentioning

confidence: 99%

The Great Smog Month and Spatial and Monthly Variation in Air Quality in Ambient Air in Delhi, India

Garg

Gupta

2020

Journal of Health and Pollution

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Background. In recent years, poor urban air quality in Delhi, India has gained significant attention. Episodic events including crop stubble burning and Diwali celebrations are considered major factors in the worsening quality of ambient air. Objective. This study aimed to investigate spatial and monthly variation as well as the role of episodic events in ambient air quality in Delhi, including the ‘Great Smog' month of November 2017. Methods. Monitoring of air pollutants (particulate matter (PM10, PM2.5, PM1) and nitrogen dioxide (NO2)) was carried out at three distinct locations of Delhi from April 2017–February 2018. The concentration of NO2 was measured using a modified Jacob and Hochheiser method and PM was measured using a GRIMM aerosol spectrometer. Air quality index was also determined to identify the effects of air pollution on human health. Results. Overall, the levels of air pollution were found to be approximately 2.1–3.2 times higher along a traffic intersection and about 1.4–2.0 times higher in a commercial area compared with an institutional area. The highest average monthly concentrations of PM10, PM2.5, PM1 and NO2 were 768, 374, 298 and 149 μg/m3, respectively, during the Great Smog month of November 2017. November and August were recorded as the most polluted and cleanest months, respectively, in the city. Generally, poor to severe categories of the air quality index (AQI) were obtained from October to February. Higher concentrations during November were attributed to stubble burning in the nearby states of Delhi with the additive effect of fireworks during Diwali celebrations. Conclusions. Severe ambient air quality as observed in the present study is a serious matter of concern for the health of Delhi's population. To control spikes in poor air quality during episodic events, it is imperative to raise awareness among farmers regarding the severe health hazards of stubble burning. Competing Interests. The authors declare no competing financial interests.

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“…Air pollution levels in Delhi now exceed that of Beijing, once considered the most polluted city in the world (Ahmad et al, ; Nagpure et al, ). Sources of air pollution in Delhi include a mix of transportation, energy, industrial emissions, biomass burning, and construction dust (Mandal, Sarkar, Mandal, & Saud, ).…”

Section: Empirical Contextmentioning

confidence: 99%

Enhancing Precision and Clarity in the Study of Policy Narratives: An Analysis of Climate and Air Issues in Delhi, India

Weible

Olofsson

Costie

et al. 2016

Review of Policy Research

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The study of policy narratives is challenged by inconsistencies and a need for more precise definitions and measurements. The goals of this article are to build precision and clarity in the study of policy narratives by developing a network-based approach-the ego-alter dyad-for coding characters and their interactions around a policy issue and then to illustrate this approach in the analysis of air and climate issues in Delhi, India. The empirical results show that (1) the same actors are often heroes and villains, (2) heroes and villains are associated with different actions but with similar victims or beneficiaries, (3) narrators differ in their propensity to tell hero-heavy or villain-heavy policy narratives, and (4) the proportion of hero-heavy or villain-heavy policy narratives changes over time and differs across subtopics. The article concludes with a research agenda for further theoretical and methodological advancement in studying policy narratives.

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Seasonal variation and sources of aerosol pollution in Delhi, India

Cited by 36 publications

References 13 publications

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

The Great Smog Month and Spatial and Monthly Variation in Air Quality in Ambient Air in Delhi, India

Enhancing Precision and Clarity in the Study of Policy Narratives: An Analysis of Climate and Air Issues in Delhi, India

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