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Data · dataset · 2024

Long-Term Ineffectiveness of Anti-Smog Machines in Tackling Air Pollution in the Delhi Region

Listed in Teesside University Research Data Repository

Anti-smog machines in Delhi offered short-term relief by reducing pollution during their initial use in November 2024.

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However, their long-term effectiveness was undermined as settled particulate matter (PM2.5 and PM10) re-entered the atmosphere due to environmental factors like sunlight and wind. This highlighted the limitations of predictive models like NASA GEOS-ML and IMD Silam, which failed to account for human interventions.

The root cause of air pollution lies in human actions, including firecrackers, industrial emissions, and vehicular pollution. Sustainable solutions require conscious efforts to reduce such activities rather than blaming natural factors like wind, rain, or geography. Only collective human responsibility and decisive actions, such as banning firecrackers and regulating emissions, can effectively combat air pollution.

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Teesside University Research Data Repositoryoai:data.mendeley.com/3rzctcf95k.19 h agoJSON v1
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