Optimal Coordination and Synchronization in Local Air Quality and GHG Emissions: An Economic Study of Multiple Gases Issue in Integrated Assessment of Global Change

Technical Report · Thu Mar 19 00:00:00 EDT 2009

DOI:https://doi.org/10.2172/949874· OSTI ID:949874

Yang, Zili

In the duration of this project, we finished the main tasks set up in the initial proposal. These tasks include: collecting needed data of regional aerosol emissions (mainly SO2); building the RICES model; conducting preliminary simulation runs on some policy scenarios. We established a unified and transparent IA modeling platform that connecting climate change and local air pollution. The RICES model is the pioneering IA model that treats climate change and local air pollution as correlated global and local stock externalities.

• Research Organization: The Research Foundation of the State University of New York at Binghamton
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• DOE Contract Number: FG02-06ER64179
• OSTI ID: 949874
• Report Number(s): FINAL TECHNICAL REPORT
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
regional aerosol emissions (mainly SO2)
RICES model
simulation runs on some policy scenarios
modeling platform that connected climate change and local air pollution