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processes and the physical and chemical nature of pollutants have made air pollution characteristics better
understood. Ground and satellite-based remote measurements have proliferated and provide data not only
on meteorology but also for ozone and particulate measurement errors, and influence estimates were
developed, and others are under development. Long-distance transport effects and seasonal dust storms
are of interest to many and still need to be explained. Conventional monitoring is being augmented with
continuous operation and data communication in real-time, either to a data center or a user. Analysis and
prediction of the state of air quality problems progressed from purely deterministic forecasts of the effects
of either planned or upgraded controls to probable trajectories [19, 20].
CONCLUSION
The science of air quality has matured substantially, offering advanced tools for pollution detection,
modelling, and control. Despite this progress, air pollution continues to pose severe health and
environmental challenges, especially in urban and industrialized regions. Innovations in pollution control
technologies, combined with evidence-based policymaking, international cooperation, and enhanced
public awareness, are crucial to addressing both existing and emerging threats. Regulatory strategies
must evolve to include ultrafine particles and account for complex transboundary dynamics. Moreover,
the successful integration of real-time data analytics, remote sensing technologies, and behavioral
interventions can substantially enhance air quality management. As global urbanization and industrial
activities expand, a multidisciplinary, science-driven, and community-engaged approach will be essential
to achieving sustainable air quality goals and ensuring healthier living environments for future
generations.
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