|
Activity Number:
|
461
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
| Abstract - #304301 |
|
Title:
|
Meteorologically Adjusted Particulate Matter Trend Analysis
|
|
Author(s):
|
Kristen L. Gore*+ and Marshall Gaddis and Nicole Bader
|
|
Companies:
|
North Carolina State University and North Carolina State University and North Carolina State University
|
|
Address:
|
, , NC, ,
|
|
Keywords:
|
particulate matter ; air quality ; meteorology ; emissions ; autoregressive ; environmental
|
|
Abstract:
|
Fine particulate matter (PM2.5) is a complex mixture of tiny solid and particles suspended in the air that have an aerodynamic diameter of 2.5 micrometers or less. These particles can impose a variety of harmful health effects due to their ability to enter the respiratory and cardiovascular systems. The purpose of this project was to determine if the NOx-SIP Call (Nitrogen Oxides State Implementation Plan Call) curbed PM2.5 concentrations. The ability to effectively measure ambient emissions is complicated by the impact of meteorological factors. After applying exploratory statistical methods, it was determined that the NOx-SIP Call did not effectively reduce PM2.5 concentrations in North Carolina. The data analyzed consisted of continuous hourly PM2.5 measurements, daily Federal Reference Method PM2.5 measurements, and meteorological data that spanned November 1998 to January 2007.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |