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EN
This study addresses the critical issue of winter air pollution, characterized by smoke that causes respiratory irritation and health issues like shortness of breath, dizziness and eye irritation. The primary focus is on the inefficacy of traditional, human-conducted inspections in identifying sources of smog and air pollution. These methods are limited by the inability to measure emissions accurately without specialized equipment and the restricted range of inspection due to groundlevel perspectives. The paper proposes the integration of drones equipped with advanced sensor technologies as a solution for comprehensive and efficient air quality monitoring (Sokhi, 2022). These drones can accurately assess emissions from sources like chimneys in real time and at a larger scale. The implementation of such technology not only enhances the effectiveness of anti-smog measures but also serves as a deterrent, increasing public awareness about constant environmental monitoring. The study advocates for the adoption of these unmanned aerial vehicles as a suport tool for local governments in the fight against air pollution, suggesting a transformative approach to environmental regulation and control.
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