The Impact of Fireworks Emissions on Air Quality in Delhi, India

Singh, Akash Kumar; Srivastava, Arun

doi:10.1080/10406026.2020.1756078

Cited by 18 publications

(4 citation statements)

References 52 publications

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“…Map showing location of the aerosol sampling site (Janakpuri, Delhi) | https://doi.org/10.1007/s42452-020-03854-0 carbon analyzer (DRI 2001) has already been described in detail by Singh, Srivastava[61].…”

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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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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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“…Figure 9a also shows conglomerates of tiny particles with uneven morphologies. Anthropogenic particles are formed by vapour condensation, they usually have spherical or spheroidal morphologies, while those that arise from natural sources exhibit regular morphologies with angles, cleavages, and facets [47].…”

Section: Sem-eds Analysismentioning

confidence: 99%

Particulate Oxidative Potential Associated with Fireworks Activity during Diwali at a site in the Indo-Gangetic Plain

Goyal

Verma

Kumari

et al. 2022

Preprint

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The dithiothreitol (DTT) assay was used to investigate the oxidative potential (OP) of atmospheric fine particles (PM2.5) to form reactive oxygen species (ROS) during Diwali festival firework activity at a site in the Indo-Gangetic Plain, India. During the study period, the 12-hour mean PM2.5 was reported to be 263 ±151 µg m-3, which was 4.4 times higher than the NAAQS standards. Increased levels of gaseous pollutants (NOx, SO2, CO and O3), as well as metal concentrations such as Ba, Pb, Cu, Fe, Mg, K, Al, and Mn, were also observed during fireworks displays. The increased PM2.5-NOx slope for fireworks, which included traffic emissions, revealed that fireworks played a significant role. The highest value of OP of PM was detected in the next morning of Diwali, with a volume-based DTT value of 1.4 nmol min-1 m-3 and a mass-based DTT value of 11.8 pmol min-1 μg-1, implying higher PM-related DTT activity due to fireworks. A positive association was found between redox-active metals like Cr, Cu, Ni, and V and DTT activity which could be due to the ability of these metals to catalyse ROS generation in ambient air. Ba and Se concentrations in the particulate matter, which are key components of firecrackers, were likewise highly linked to DTT activity. During the daytime, ozone levels were strongly correlated (r2 = 0.9) with OPv activity; this may be due to photochemical processes which may lead to the formation of tropospheric O3. Elements C, O, Al, Si, S, K, and Ba were found to be the most prevalent in elemental mappings, which suggests that fireworks may have contributed to their abundance. A comparison of the daily OPv activity and hazard index (HI) suggests that the HI may be a poor metric for measuring the health impacts of PM exposure on human health.

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“…In high-risk sectors, secured data collection and analysis are key components of the SMS. Human factor (HF) specialists are mainly involved in identifying occurrences caused by HE [6]. India's "fireworks capital" is Tamil Nadu's Sivakasi.…”

Section: Introductionmentioning

confidence: 99%

Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach

Nallathambi

Savaram²,

Sengan

et al. 2023

Sensors

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In the fireworks industry (FI), many accidents and explosions frequently happen due to human error (HE). Human factors (HFs) always play a dynamic role in the incidence of accidents in workplace environments. Preventing HE is a main challenge for safety and precautions in the FI. Clarifying the relationship between HFs can help in identifying the correlation between unsafe behaviors and influential factors in hazardous chemical warehouse accidents. This paper aims to investigate the impact of HFs that contribute to HE, which has caused FI disasters, explosions, and incidents in the past. This paper investigates why and how HEs contribute to the most severe accidents that occur while storing and using hazardous chemicals. The impact of fireworks and match industry disasters has motivated the planning of mitigation in this proposal. This analysis used machine learning (ML) and recommends an expert system (ES). There were many significant correlations between individual behaviors and the chance of HE to occur. This paper proposes an ML-based prediction model for fireworks and match work industries in Sivakasi, Tamil Nadu. For this study analysis, the questionnaire responses are reviewed for accuracy and coded from 500 participants from the fireworks and match industries in Tamil Nadu who were chosen to fill out a questionnaire. The Chief Inspectorate of Factories in Chennai and the Training Centre for Industrial Safety and Health in Sivakasi, Tamil Nadu, India, significantly contributed to the collection of accident datasets for the FI in Tamil Nadu, India. The data are analyzed and presented in the following categories based on this study’s objectives: the effect of physical, psychological, and organizational factors. The output implemented by comparing ML models, support vector machine (SVM), random forest (RF), and Naïve Bayes (NB) accuracy is 86.45%, 91.6%, and 92.1%, respectively. Extreme Gradient Boosting (XGBoost) has the optimal classification accuracy of 94.41% of ML models. This research aims to create a new ES to mitigate HE risks in the fireworks and match work industries. The proposed ES reduces HE risk and improves workplace safety in unsafe, uncertain workplaces. Proper safety management systems (SMS) can prevent deaths and injuries such as fires and explosions.

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The Impact of Fireworks Emissions on Air Quality in Delhi, India

Cited by 18 publications

References 52 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

Particulate Oxidative Potential Associated with Fireworks Activity during Diwali at a site in the Indo-Gangetic Plain

Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach

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