• MANJULA B.L
• MAHESHAN C.M

A clean and healthy environment is essential for all the living things. If our surroundings are unclean and polluted, it will directly or indirectly affect all things including human beings. One such pollution is air pollution. Release of gaseous wastes from industries, vehicles, burning of fuels pollutes the environmental air. Many dispersion models have been developed to calculate different pollutant concentration in different cities and emission sources. This study is to understand the distribution, spread and dynamics of the pollutant from the constant source of emission. Predict the air quality from the primary pollutant stationary source. Matlab Code Program is used in modeling the air pollution monitoring system. The input to the system considered such as meteorological parameters like wind velocity, atmospheric stability and stack parameters like stack height, stack distance from emission pollutant source, number of stacks, aerosol parameters like humidity and its effect on air pollution monitoring system can be studied. The controllers like Fuzzy Proportional Integrative Derivative and Proportional Integrative Derivative Controller are used in controlling air pollutant concentration by manipulating control variables.

Gauss Plume Model, PID controller, Fuzzy PID controller, MATLAB/SIMULINK

"SIMULATION AND ANALYSIS OF AIR POLLUTION MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.e475-e486, October-2021, Available :http://www.jetir.org/papers/JETIR2110473.pdf

"SIMULATION AND ANALYSIS OF AIR POLLUTION MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppe475-e486, October-2021, Available at : http://www.jetir.org/papers/JETIR2110473.pdf