BREEZE 3D Analyst for the Advanced AERMOD Modeler BREEZE Software

Transcription

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

2 BREEZE 3D Analyst Presented by: Name, Title Date For Client Name

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 Avg. 1 Avg. 2 Avg hour

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 Avg. 1 Avg. 2 Avg. 3 Avg. 4 Avg. 5 Avg. 6 Avg hour

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 Avg. 1 Avg. 2 Avg hour

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 , ) 1-hr concentration ug/m**3 (1996/01/01 12:00) 3-hr block average ug/m**3 (1996/01/01 12:00-15:00) 3-hr rolling average ug/m**3 (1996/01/01 12:00-15:00) 97th percentile ug/m**3 (period) 4th high 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 vs

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 and include your name, company, and address. Call in details will be ed to you after registration. Date: 3/12/2008 Time: 12:00 PM CST - 1:00 PM CST Contact: Name: Vale Reyna, breeze@trinityconsultants.com,

60 Contact Steven Schneider