Application of Software Technology for Air Pollution Prediction Model

Air pollution models are routinely used in environmental impact assessments, risk analysis and emergency planning, and source apportionment studies. The atmospheric regulations are responsible for changing the air pollution concentration. The prediction of air pollution concentration has been done by various mathematical models. The use of software technologies will be beneficial for environmental measurement and conservation. This research article aims to develop the software based air pollution prediction and measurement model which is helpful to draw the air pollutants concentration of any place away from the source of emissions. The Gaussian plume rise mathematical formula was used for developing the software by using visual basic language. Air pollutant measurement and prediction model will be helpful during environmental impact assessment study as well as to analyse the impact and concentration of air pollutants in and around industrial belts.