- Ground based measurements
- Balloon measurements
- Aircraft measurements
- At IIT Kanpur
- During ICARB Campaign
- Continental Tropical Convergence Zone (CTCZ) Pilot Aircraft Experiment – 2009
- Continental Tropical Convergence Zone (CTCZ) Pilot Aircraft Experiment – 2008
- – AERONET/CALIPSO Validation in India (2008-2011)
- Surface Energy Flux Measurements-INCOMPASS (2015 onwards)
- Real-time air quality measurements-IIT Kanpur
- Currently, the assessment of air quality and source apportionment studies in India are based on offline filter techniques, in which aerosols are collected on filters using air samplers and then analyzed in the laboratories. Typically, these methods are cumbersome, labour intense and time consuming. Technical drawbacks include low temporal resolution and method bias. Accurate measurements of carbonaceous aerosols are also challenging due to positive (e.g., adsorption of organic gases) and negative (e.g., evaporation) attributes of filter sampling. Realizing the need for a rapid, reliable and field implementable method of PM analysis, we proposed a real-time measurement of the PM using mass spectrometry. This combines high-end (detailed information) and low-end (cost-effective) approach. The high-end approach includes measurements using real-time instruments (close to molecular level information using mass spectrometry techniques), and low-end includes the combination of similar mass spectrometry techniques with traditional measurements on collected filters to extract the information close to molecular level. The combination approach is the most accurate and cost-effective way to tackle the knowledge gap in real pollutants level and their source apportionment.
- Streaming analytics over temporal variables for Air quality monitoring
- The number of deaths attributed to ambient air pollution is staggering, currently estimated at over 600,000 people. The situation in recent years has gotten only worse, with the air quality levels in New Delhi being the worst in many years. At this time, the influences of air pollution on human health are not well understood given an overall lack of knowledge of air pollutant concentrations across India. This lack of spatially and temporally distributed city-wide air quality information prevents a scientific study of its impact on human health and the national economy. We have developed a system that can collect this information sustainably and with low-cost nation-wide to allow policy makers and citizens at large to deploy data-driven control and preventive mechanisms. An NBIoT based Real-time Ambient Air Quality Monitoring technology is being developed, which uses a leading-edge low powered cellular data communication technology. This is highly innovative for ambient air quality monitoring networks. We are the first group in India and possibly in South Asia to have developed such a solution.