There are important interactions between climate and air quality strategies, and development, economic and social policy objectives. However, maximizing the potential co-benefits from these - well-documented - interactions poses a host of complex challenges to decision makers. Unless put into context, these interactions could not only prohibit a cost-effective solution to both problems, but also lead to important trade-offs that unnecessarily waste important resources.
Model analyses, based on latest scientific findings and validated data, can provide valuable information on the design of (cost-)effective strategies that meet multiple policy objectives and yield potentially large economic synergies.
With an interdisciplinary team of researchers, MAG builds innovative methodologies that bring together relevant insights from recent research on geo-physical and economic aspects of pollution control. The program develops advanced analytical tools to identify pollution control strategies that put least burden to the economy while maximizing a wide range of environmental benefits. Together with a network of collaborators, MAG uses these tools to inform international negotiations and national planners in different regions of the world.
Real-driving emissions from cars and light commercial vehicles - Results from 13 years remote sensing at Zurich/CH
Atmospheric Environment, 88:157-164 (May 2014) (Published online 6 February 2014) More
Ultrafine particles in cities
Environment International, 66:1-10 (May 2014) (Published online 4 February 2014) More
Modelling NO2 concentrations at the street level in the GAINS integrated assessment model: Projections under current legislation
Atmospheric Chemistry and Physics, 14(2):813-829 (24 January 2014) More
Last edited: 04 December 2013
Access to GAINS-online
International Institute for Applied Systems Analysis (IIASA)
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