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

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

德里地区的防霾设备在2024年11月初投入使用时，通过降低污染水平为公众带来了短期的缓解。然而，由于诸如阳光和风力等环境因素的影响，沉降的颗粒物（PM2.5和PM10）重新进入大气层，削弱了其长期的有效性。此现象凸显了如NASA GEOS-ML和IMD Silam等预测模型的局限性，这些模型未能考虑到人为干预的影响。空气污染的根本原因在于人类行为，包括烟花爆竹、工业排放和汽车尾气污染。可持续的解决方案需要我们主动减少此类活动，而非将责任归咎于自然因素，如风力、雨水或地理环境。唯有通过集体的人类责任和果断的行动，例如禁止烟花爆竹和规范排放，方能有效应对空气污染问题。