Open AccessValidation of Point Source Models for Determining Industrial Pollution and Integrating with IOT for vulnerability management
Author(s) -
M. Selvakumar,
V. Prasannakumari,
S. Geetha,
S. Muthulakshmi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012022
Subject(s) - aermod , environmental science , pollution , pollutant , air pollution , air quality index , air pollutant concentrations , particulates , environmental engineering , atmospheric dispersion modeling , meteorology , air pollutants , geography , ecology , chemistry , organic chemistry , biology
Awareness in Environmental pollution which was restricted to water and wastewater pollution has now been extended to air pollution. In Indian Scenario, the popularity of air pollution is gaining momentum day by day and all metro cities are facing this problem due to increase in traffic and industries located in the vicinity. The major contribution to air pollution is from traffic though there are other sources like smoke from factories and burning of any material. Monitoring stations are not provided in many places as it is a costly investment. Though there are very few monitoring stations in metro cities, the other areas still do not have any means to monitor the quality of air we breathe in. This work deals with validating point source models to predict the pollution due to thermal power plant emissions in Ennore, Chennai. The details of wind speed, wind direction, temperature and humidity play a major role in dispersing the air pollutants. Particulate air pollutant PM 2.5 , PM 10 and SO 2 were monitored and the variation of air pollutants during summer and winter were studied. The influence of meteorological parameters in the concentration of these pollutants were analysed by this study. AERMOD software was used to model the data and further predictions with the help of advanced technology are discussed in this paper. Deployment of a system using advanced sensors and systems has enabled us to assess the air quality by integrating IOT with sensors which could facilitate continuous monitoring of the pollutants.