Science Inventory

ENHANCED CHARACTERIZATION OF AMBIENT FINE PARTICULATE MATTER THROUGH COMPLEMENTARY DATA INTEGRATION AND IMPROVED MEASUREMENT INSTRUMENTATION

Impact/Purpose:

Ambient fine particulate matter (PM2.5) has many important effects including visibility degradation, effects on radiation balance (climate) and the hydrological cycle, and adverse effects on human health. An improved characterization of particulate matter is critical to our understanding of its effects and to the development of rational and effective mitigation policies. The effects of fine PM are strongly dependent on one extensive property (its concentration) and 3 intensive physical properties: size, chemical composition, and physical shape (or morphology). If we are to quantify the effects of PM we must measure these four properties with high time resolution (minutes). No single instrument is capable of measuring concentration, size, composition, and shape with high time resolution for all particle types. This project focuses on integration of complementary measurements from different instruments in order to fully characterize the ambient particulate matter as well as improvement of current measurement techniques through instrument development.

The objectives of this research project are to:

  1. Improve fine particulate matter characterization through the integration of data from complementary measurements into a chemically and size resolved description of fine particulate matter.
  2. Further develop the Aerodyne Aerosol Mass Spectrometer for improvements in sensitivity, time resolution, and single particle capabilities.

Description:

Improvements in fine particle characterization will allow for a more complete understanding of the processes particle in the atmosphere undergo. The integration of complementary measurements into a compact mathematical form, allows for ease of transfer from particle measurements to models, leading the way for closure studies. We expect to be better able to characterize and transfer ambient data to models of aerosol behavior. In addition better measurement techniques with higher sensitivity and selectivity will enhance the quality of data, which in turn allows for better understanding of particulate matter in the atmosphere.

Record Details:

Record Type:PROJECT( ABSTRACT )
Start Date:01/01/2005
Completion Date:12/31/2007
Record ID: 138598