Space sensors shed new light on air quality

Scientists and researchers from around the world gathered at ESRIN, ESA’s Earth Observation Centre in Frascati, Italy, last week to discuss the contribution of satellite data in monitoring nitrogen dioxide in the atmosphere and to present the latest results of their ongoing atmospheric research that includes identifying hotspots, analysing trends and monitoring the effectiveness of mitigation efforts.

All of the satellite data used by the participants was acquired through the TEMIS project, part of ESA’s Data User Programme (DUP). The TEMIS Internet-based service offers near-real time data products, long-term data sets and forecasts from various satellite instruments related to tropospheric trace gas concentrations, aerosol and Ultra Violet radiation.

Because of the near-real time aspect of the TEMIS service, Yuxuan Wang, lecturer and research assistant at Harvard University, was able to obtain accurate measurements of the air quality over China during a traffic restriction using data from the Ozone Monitoring Instrument (OMI) instrument on NASA’s Aura satellite.

Between 4 and 6 November 2006, 30 percent – or 800 000 – of Beijing's 2.82 million private vehicles were taken off the streets to facilitate organisation for the China-African summit and to perform a trial for the 2008 Olympic Games.

By comparing the satellite observations with ground measurements and a global chemical transport model, Wang and her colleagues learned that the model did not capture the full amount of decrease in NO2 over Beijing during the summit.

“Because the satellites witnessed this event, we could draw a quantitative analysis of how much reduction happened by using this independent dataset. We saw a 40 percent reduction in nitrogen dioxide emissions,” Wang said.

“TEMIS offers near real time data, allowing me to see daily measurements over Beijing with about a 2-hour time lag. When our group knows about traffic restrictions, we just go to the TEMIS website, download the data from that day and see whether there is a reduction in emissions picked up by satellites,” she continued. “TEMIS, which allows very easy and open data access, is a big contribution of ESA to the whole community, not only for the European users but across the world, especially for places without in situ measurements.”

Simon Hales, Senior Research Fellow at the University of Otaga in New Zealand, is using satellite data from TEMIS to look at seasonal patterns of heart disease in New Zealand for the National Heart Foundation and to assess the global burden of disease related to air pollution.

“The big advantage of using satellite data from the point of view of public health is that it gives us spatially extensive coverage that we do not get any other way,” he explained. “Because newer instruments like SCIAMACHY and OMI are able to approximate some of the vertical profiles of NO2, you have a better idea of what people are actually being exposed to on the ground.”

By using NO2 satellite data and relating it to surface observations, Hales hopes to develop a model of the surface exposure levels, determine what the exposure levels mean in terms of public health implications and work out what the policy implications are for changing emission-releasing practices, such as reducing transport from motor vehicles.

The service providers are currently planning to expand the existing TEMIS service to monitor the transboundary and hemispheric movement of air pollution.

Media Contact

Mariangela D'Acunto alfa

All latest news from the category: Ecology, The Environment and Conservation

This complex theme deals primarily with interactions between organisms and the environmental factors that impact them, but to a greater extent between individual inanimate environmental factors.

innovations-report offers informative reports and articles on topics such as climate protection, landscape conservation, ecological systems, wildlife and nature parks and ecosystem efficiency and balance.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors