HR: 0800h
AN: A11A-0023    [Abstracts]
TI: Fine Particulate Pollution and Source Apportionment in the Urban Centers for Africa, Asia and Latin America
AU: * Guttikunda, S K
EM: sguttiku@cgrer.uiowa.edu
AF: The World Bank, 1818 H Street N.W., MSN-MC4-410,, Washington, DC 20433 United States
AU: Johnson, T M
EM: tjohnson@worldbank.org
AF: The World Bank, 1818 H Street N.W., MSN-MC4-410,, Washington, DC 20433 United States
AU: Procee, P
EM: pprocee@worldbank.org
AF: The World Bank Institute, 1818 H Street N.W., MSN-J4-400,, Washington, DC 20433 United States
AB: Fossil fuel combustion for domestic cooking and heating, power generation, industrial processes, and motor vehicles are the primary sources of air pollution in the developing country cities. Over the past twenty years, major advances have been made in understanding the social and economic consequences of air pollution. In both industrialized and developing countries, it has been shown that air pollution from energy combustion has detrimental impacts on human health and the environment. Lack of information on the sectoral contributions to air pollution - especially fine particulates, is one of the typical constraints for an effective integrated urban air quality management program. Without such information, it is difficult, if not impossible, for decision makers to provide policy advice and make informed investment decisions related to air quality improvements in developing countries. This also raises the need for low-cost ways of determining the principal sources of fine PM for a proper planning and decision making. The project objective is to develop and verify a methodology to assess and monitor the sources of PM, using a combination of ground-based monitoring and source apportionment techniques. This presentation will focus on four general tasks: (1) Review of the science and current activities in the combined use of monitoring data and modeling for better understanding of PM pollution. (2) Review of recent advances in atmospheric source apportionment techniques (e.g., principal component analysis, organic markers, source-receptor modeling techniques). (3) Develop a general methodology to use integrated top-down and bottom-up datasets. (4) Review of a series of current case studies from Africa, Asia and Latin America and the methodologies applied to assess the air pollution and its sources.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0305 Aerosols and particles (0345, 4801)
DE: 0345 Pollution--urban and regional (0305)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting