spatial variation of worst dust days (number shows the mean dust conc for wdd)
DESCRIPTION
Spatial variation of worst dust days (number shows the mean dust conc for WDD). Seasonal variation of worst dust days (# of WDD per season). April 16, 2001. September 07, 2001. September 07, 2001. September 07, 2001. October 16, 2001. June 07, 2002. June 07, 2002. June 07, 2002. - PowerPoint PPT PresentationTRANSCRIPT
Spatial variation of worst dust days(number shows the mean dust conc for
WDD)
Seasonal variation of worst dust days(# of WDD per season)
April 16, 2001
September 07, 2001
September 07, 2001
September 07, 2001
October 16, 2001
June 07, 2002
June 07, 2002
June 07, 2002
September 17, 2002
February 02, 2003
February 02, 2003
49%
30%
21%
Conf.level 3 and 5
Conf.level 1
No classification
Worst dust days attributed to events
0
20
40
60
80
100
120
140
160
Cases
Asian dust Windblown dust Upwind transport
Conf.level 3,5
Conf.level 1
Sources of worst dust days
Alaska
Idaho, Montana, Wyoming, North and South Dakota
New Mexico
Colorado, Nevada and Utah
Arizona
Arizona: Undetermined case
California
0
50
100
150
200
250
No o
f W
DD
Winter Spring Summer Fall
Determined
Undetermined
Seasonal variation of determined and undetermined worst dust days
Seasonal variation of determined and undetermined worst dust days for AZ
and CA
0
10
20
30
40
50
60
70
80
No o
f W
DD
Winter Spring Summer Fall
Determined
Undetermined
Arizona
0
5
10
15
20
25
30
No o
f W
DD
Winter Spring Summer Fall
Determined
Undetermined
California
0
20
40
60
80
100
120
No
of W
DD
Winter Spring Summer Fall
Asian dustWindblown dust
Upwind transport
Seasonal variation
WEB site development
On the basis of conceptual models for each site:Question 1: Is there a statistically significant relationship between dust mass and
wind conditions ? (MLRA results)Question 2: What are the major events/sources of dust? (A table for each site and
maps)Question 3: Are there, and to what extent, other undetermined sources? (A table
for each site) Question 4: Are there any seasonal trends in the events/sources of dust? (maps)
Description of the methodology
Episode analysis: Choose episodes based on a combination of• season, month, year• site, state• event/source• confidence level
A table and relevant maps for each episode
Future tasks Characterize event types and scales of the events
•Look at specific “regions” and analyze EHA results in context of season, regional-scale meteorology, topography
Utilize chemistry to differentiate between source types and regions (using EHA results)
Obtain activity data for agricultural activities and determine relationship with EHA results (e.g. if unexplained days in CA are due to almond harvesting)
Expand windblown dust analysis by using trajectory data where surface meteorological data are unavailable
Perform area source identification E.g. New Mexico Pilot Study (next presentation)
Verify the outcomes of EHA
•Select specific WDD and obtain supplemental data (e.g. satellite, urban air monitoring, etc) to confirm/support EHA results