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, AIR 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, AIR uses these tools to inform international negotiations and national planners in different regions of the world.
Zhao ZQ, Bai Z, Winiwarter W, Kiesewetter G, Heyes C, & Ma L (2017). Mitigating ammonia emission from agriculture reduces PM2.5 pollution in the Hai River Basin in China. Science of the Total Environment 609: 1152-1160. DOI:10.1016/j.scitotenv.2017.07.240.
Höglund Isaksson L (2017). Bottom-up simulations of methane and ethane emissions from global oil and gas systems 1980 to 2012. Environmental Research Letters 12 (2): e024007. DOI:10.1088/1748-9326/aa583e.
Purohit I & Purohit P (2017). Technical and economic potential of concentrating solar thermal power generation in India. Renewable and Sustainable Energy Reviews 78: 648-667. DOI:10.1016/j.rser.2017.04.059.
Höglund Isaksson L, Purohit P, Amann M, Bertok I, Rafaj P, Schöpp W, & Borken-Kleefeld J (2017). Cost estimates of the Kigali Amendment to phase-down hydrofluorocarbons. Environmental Science & Policy 75: 138-147. DOI:10.1016/j.envsci.2017.05.006.
Klimont Z, Kupiainen K, Heyes C, Purohit P, Cofala J, Rafaj P, Borken-Kleefeld J, & Schöpp W (2017). Global anthropogenic emissions of particulate matter including black carbon. Atmospheric Chemistry and Physics 17 (14): 8681-8723. DOI:10.5194/acp-17-8681-2017.
Last edited: 10 May 2017
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