This paper presents a comprehensive overview of the powerful post-processor, BREEZE 3D Analyst that enables you to analyze and visualize data in multiple formats.

1. BREEZE Software
12770 Merit Drive | Suite 900 | Dallas, TX 75251
+1 (972) 661-8881 | breeze-software.com
BREEZE 3D Analyst for the
Advanced AERMOD Modeler

2. Presented by: “Name, Title”
“Date”
For “Client Name”
BREEZE®
3D Analyst

3. BREEZE 3D Analyst
The ultimate data analyst
• Analyze data through 2D, 3D,
and GIS visual displays
• Compare time based data with
the time series chart
• View, copy, paste data through
the table view
• Extract, transform, and merge
multiple datasets
• Export results to Surfer®,
Google Earth, and ESRI Shapefiles
• Supports gridded met data,
model concentration data, terrain
data, and others

4. Supported AERMOD Formats
BREEZE AERMOD Archive (amz) File
Compressed Zip file format that contains PLOT and
POST file data
ASCII PLOT files
ASCII POST files
Binary POST files

5. 3D Display
• Create surface, contour,
volume, and vector plots of 2D
and 3D data.
• Move “slices” through the
dataset and generate contours
on the fly
• Especially useful when
working with 3-dimensional
meteorological data such as
CALMET
• Generate AVI and Flash
movies of time based datasets

6. Map Display
• Create contour maps within a
true Geographic Information
System
• Overlay results on base maps
such as ESRI shapefiles,
AutoCAD DXF, and various
image formats
• View results through various
projections and datums
• Generate AVI and Flash
movies of time based datasets

7. Cross Section Display
• Create contour and surface
plots of both horizontal and
vertical cross sections through
3-dimensional data
•Generate AVI and Flash
movies of time based datasets

8. Table Display
• View raw data of both 2D and
3D cross-sectional data
•Copy data from table into
spreadsheet programs such as
Microsoft Excel

9. Report Display
• Summarize both 2D and 3D
cross-sectional datasets and
provide relevant statistics

10. Working with Hourly Data
Generating hourly data in AERMOD
Importing hourly data into 3D Analyst

11. Generating Hourly Data
• Select the Post file option in
the Output form in AERMOD.
• Select the post files to
generate.
• It is HIGHLY recommended to
select “Binary” as the output file
format.

12. Importing Hourly Data
• When opening an AERMOD
archive (amz) file in 3D Analyst,
a “Select data” dialog is
displayed.
• Select the “Post data (hourly)”
option, and the desired dataset
to import.
• A “Time Period” dialog will
also be displayed to select the
hours of data to import.

13. Data Tools
Averages
Data Transformation
Percentiles and Highs
Thresholds and Exceedances
Merging
3D Grids in AERMOD
Population Analysis
Data Export

14. Data Tools
• The various data tools in 3D
Analyst are found in the Tools
menu.

15. Averages
Block
Rolling
Custom

16. Block Averages
3-hour block average
hour
0 1 2 3 4 5 6 7 8 9
Avg. 1 Avg. 2 Avg. 3

17. Block Averages
• This process will extract new
3-hour block average dataset
from the existing hourly
dataset.
• The Automated extraction
method is the best option to
easily generate block and rolling
averages from an hourly
dataset

18. Block Averages
• Contours in Map display of 3-
hour block average containing
hours 12, 13, and 14.

19. Block Averages
Contours in Map display
of individual hours 12,
13, and 14.
Contours in Map display
of 3-hour block average
of hours 12, 13, and 14.

20. Rolling Averages
3 hour rolling average
hour
0 1 2 3 4 5 6 7 8 9
Avg. 1 Avg. 2
Avg. 3
Avg. 4
Avg. 5
Avg. 6
Avg. 7

21. Rolling Averages
• This process will extract a
new 3-hour rolling average
dataset from the existing hourly
dataset.

22. Rolling Averages
• Contours in Map display of 3-
hour rolling average containing
hours 12,13, and 14.

23. Custom Averages
Custom averages
hour
0 1 2 3 4 5 6 7 8 9
Avg. 1
Avg. 2
Avg. 3

24. Custom Averages
• User defined extraction
method – USE WITH CAUTION!

25. Custom Averages
• Contours in Map display of
custom averaging period from
02:15 to 04:30.

26. Transformation
• Apply transformations to data
while viewing within 3D Analyst
• Transformations are
temporary and do not affect the
original data

27. Transformation
Original results at 1996/01/01 12:00. Scaled and translated results at
1996/01/01 12:00.

28. Percentiles
• This process will extract a
new dataset with 99, 98, and
97th percentiles from the
existing hourly dataset.

29. Percentiles
• 97th percentile results for 31
day period.

30. Percentiles
• 97th percentile results for 31
day period.

31. Highs
• This process will extract a
new dataset with 1st, 2nd, 4th,
and 16th highs from the
existing hourly dataset.

32. Highs
• 4th high results for 31 day
period.

33. Highs
• 4th high results for 31 day
period.

34. Thresholds
• This process will extract a
new dataset of 1, 10, 100, and
1000 ug/m**3 thresholds from
the existing hourly dataset.
• Results consist of a zero or
one at each receptor for each
time period.
• A value of zero indicates the
concentration at that
receptor/time was below the
threshold.
• A value of one indicates the
concentration at that
receptor/time was equal to or
above the threshold.

35. Thresholds
• Receptors exceeding the 10
ug/m**3 threshold at
1996/01/01 12:00.

36. Thresholds
• Contours of 10 ug/m**3
threshold value.

37. Exceedances
• This process will extract a
new dataset of 1, 10, 100, and
1000 ug/m**3 exceedances
from the existing hourly
dataset.
• Results consist of the total
number of exceedances at each
receptor for all time periods.

38. Exceedances
• Total exceedances over 100
ug/m**3 for the entire period.

39. Exceedances
• Contours of 100 ug/m**3
exceedances.

40. Results Comparison
(Receptor 383285.8, 4741972.0)
1-hr concentration 8.104622 ug/m**3 (1996/01/01 12:00)
3-hr block average 8.170875 ug/m**3 (1996/01/01 12:00-15:00)
3-hr rolling average 8.170875 ug/m**3 (1996/01/01 12:00-15:00)
97th percentile 1588.862 ug/m**3 (period)
4th high 2243.49 ug/m**3 (period)
10 ug/m**3 threshold 0 (false) (1996/01/01 12:00)
100 ug/m**3 exceedance 63 times (period)

41. Merging
• Merge data to create new
datasets based on various
functions (i.e. maximum, sum,
difference, etc.)

42. Merging
• Merging of hourly datasets.
• Creates a new hourly dataset
based on the selected
function(s)

43. Merging
Original ALL source group at
1996/01/01 12:00.
Merged SRC1 and SRC2 source groups
at 1996/01/01 12:00.

44. Merging
• Merging of hourly datasets
with scaling and translation.

45. Merging
Merged SRC1 and SRC2 source groups
at 1996/01/01 12:00.
Merged and scaled SRC1 and SRC2
source groups at 1996/01/01 12:00.

46. Merging
Simulated model runs
“What if” scenarios
Model run comparisons
Versioning
ISC vs. AERMOD
07026 vs. 06341

47. 3D AERMOD Grids
3-dimensional gridded receptor network
simulated
Only available through the BREEZE
AERMOD 6 interface
3D grid simulated through the use of
discrete receptors
Z levels are relative to ground level

48. 3D AERMOD Grids
• A 41x41x13 (21,853
receptors) 3D gridded receptor
network in BREEZE AERMOD 6.

49. 3D AERMOD Grids
• An AERMOD 6 3D gridded
receptor network displayed in
3D Analyst showing plumes and
building downwash influence.

50. Population Analysis
• Overlay concentration
contours on US Census Bureau
or custom population data
• Supports population data in
ESRI Shapefile or MapInfo TAB
formats

51. Population Analysis
• Select from several spatial
analysis methods to calculate
population exposure

52. Population Analysis
• Completed population analysis
displaying both summary and
detailed data.

53. Data for External Applications
Exporting Raw Data
Exporting raw data for miscellaneous external
applications such as Excel, Surfer, and Voxler
Google Earth
Creating KML and KMZ files
ESRI Shapefiles
Use of Shapefiles for visualization and
population analyses

54. Data Export
Raw data
XYZ (space and comma delimited)
XYZC (space and comma delimited)
VTK

55. Data Export – Raw Data

56. Data Export – Google Earth
• 3D Analyst plots contour and
vector data to Google Earth

57. Data Export – Google Earth
• AERMOD concentration
contours displayed in Google
Earth

58. Data Export – Shapefiles

59. Downwash Analyst Webinar
Learn how BREEZE Downwash Analyst can be used to visually:
Observe how the EPA's BPIP-PRM processor computes GEP stack heights
and building profile parameters
Identify all the buildings that influence each stack source
Examine the building geometry and wind direction that produce the largest
GEP height for each stack
Analyze the conditions (single-tier, tier-group, wind direction, and structure
influence zone) that produce each building profile
Display AERMOD-computed PRIME plumes (with their corresponding
near/far wake boundaries) resulting from building profiles
Register via email and include your name, company, and email address. Call
in details will be emailed to you after registration.
Date: 3/12/2008
Time: 12:00 PM CST - 1:00 PM CST
Contact: Name: Vale Reyna, breeze@trinityconsultants.com , 972-661-8881

60. Contact
Steven Schneider
sschneid@trinityconsultants.com