breeze 3d analyst for the advanced aermod modeler

Post on 14-Apr-2017

143 Views

Category:

Environment

9 Downloads

Preview:

Click to see full reader

TRANSCRIPT

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

Presented by: “Name, Title”“Date”

For “Client Name”

BREEZE®

3D Analyst

BREEZE 3D AnalystThe 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

Supported AERMOD Formats

BREEZE AERMOD Archive (amz) FileCompressed Zip file format that contains PLOT and POST file data

ASCII PLOT filesASCII POST filesBinary POST files

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

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

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

Table Display• View raw data of both 2D and 3D cross-sectional data

•Copy data from table into spreadsheet programs such as Microsoft Excel

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

Working with Hourly Data

Generating hourly data in AERMODImporting hourly data into 3D Analyst

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.

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.

Data Tools

AveragesData TransformationPercentiles and HighsThresholds and ExceedancesMerging3D Grids in AERMODPopulation AnalysisData Export

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

Averages

BlockRollingCustom

Block Averages

3-hour block average

hour

0 1 2 3 4 5 6 7 8 9

Avg. 1 Avg. 2 Avg. 3

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

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

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.

Rolling Averages

3 hour rolling average

hour

0 1 2 3 4 5 6 7 8 9

Avg. 1 Avg. 2Avg. 3

Avg. 4Avg. 5

Avg. 6Avg. 7

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

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

Custom Averages

Custom averages

hour

0 1 2 3 4 5 6 7 8 9

Avg. 1Avg. 2

Avg. 3

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

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

Transformation• Apply transformations to data while viewing within 3D Analyst

• Transformations are temporary and do not affect the original data

TransformationOriginal results at 1996/01/01 12:00. Scaled and translated results at

1996/01/01 12:00.

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

Percentiles• 97th percentile results for 31 day period.

Percentiles• 97th percentile results for 31 day period.

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

Highs• 4th high results for 31 day period.

Highs• 4th high results for 31 day period.

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.

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

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

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.

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

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

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)

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

Merging• Merging of hourly datasets.

• Creates a new hourly dataset based on the selected function(s)

MergingOriginal ALL source group at 1996/01/01 12:00.

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

Merging• Merging of hourly datasets with scaling and translation.

MergingMerged 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.

Merging

Simulated model runs“What if” scenariosModel run comparisonsVersioning

ISC vs. AERMOD07026 vs. 06341

3D AERMOD Grids

3-dimensional gridded receptor network simulatedOnly available through the BREEZE AERMOD 6 interface3D grid simulated through the use of discrete receptorsZ levels are relative to ground level

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

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

Population Analysis• Overlay concentration contours on US Census Bureau or custom population data

• Supports population data in ESRI Shapefile or MapInfo TAB formats

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

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

Data for External Applications

Exporting Raw DataExporting raw data for miscellaneous external applications such as Excel, Surfer, and Voxler

Google EarthCreating KML and KMZ files

ESRI ShapefilesUse of Shapefiles for visualization and population analyses

Data Export

Raw dataXYZ (space and comma delimited)XYZC (space and comma delimited)VTK

Data Export – Raw Data

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

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

Data Export – Shapefiles

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: 3/12/2008Time: 12:00 PM CST - 1:00 PM CSTContact: Name: Vale Reyna, breeze@trinityconsultants.com , 972-661-8881

Contact

Steven Schneidersschneid@trinityconsultants.com

top related