Through smart city systems, monitoring and real time response strategies will contribute in the decrease the fine dust concentration levels.

The smart traffic and industrial system will enable to reduce air pollution and detect vehicle emissions, industrial discharge and traffic congestion.

By developing and operating meteorological data analysis system, to predict temperature inversion layers, will help identify atmospheric stagnation and utilize air purification systems

A Skew-T Log-P diagram is a meteorological chart that visualizes how temperature, moisture, and pressure change with altitude, using data collected by weather balloons. It is especially useful for detecting temperature inversions, which appear as a rightward "kink" in the temperature trace, indicating trapped pollutants like fine dust near the ground. 

Establishing a real-time air quality monitoring system will efficiently manages fine dust concentrations within the city. It is possible through air purification systems, smart transition systems, and the expansion of green spaces.

We can support fine dust generation through technologies such as autonomous vehicles and the installation of air purifiers.

It will reduce diseases (respiratory disease, cardiovascular risk) and medical costs from fine dust problem.