Use of Association Algorithms in Air Quality Monitoring

Machine learning algorithms in air quality modeling

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

Arduair: Air Quality Monitoring

Air pollution and quality monitoring is extremely important in today’s world as it has a direct impact on human health. Air pollution is on the rise due to a number of anthropogenic activities and its monitoring is of vital importance to mitigate certain measures to control it. In this paper we put forward a low-cost and low-power sensor based system for air quality monitoring. This sensor base...

Monitoring the Quality of Air

Air quality monitoring and forecasting in China

Introduction For the last decade the industrial activity of China has been growing at rapid pace, bringing economic wealth to its 1300 million inhabitants, but also generating an unprecedented level of air pollution. This deteriorates the air quality of the densely populated and industrialized areas such as Beijing, Shanghai and the Pearl River Delta, and increases the background pollution leve...

Ambient Air Quality Monitoring in Puducherry

During the summer of 2009, concentrations of oxides of nitrogen (NOx), oxides of sulphur (SOx), suspended particulate matter (SPM) and carbon monoxide (CO) were collected over successive periods of about 8 hour at eight sites. High volume air sampler was used to measure the concentration of oxides of nitrogen (NOx), oxides of sulphur (Sox), suspended particulate matter (SPM) and CO monitor was ...