The latest update to AERMOD View, Version 9.7, expands the discrete receptor import capabilities making it easier to add receptors – including sensitive receptors – to a project. Using the application-supported CSV file format, AERMOD View can now import additional parameters such as Receptor ID and sensitive receptor flags.
The latest update to AERMET View (Version 9.7) includes a new tool which automates the process of assessing meteorological data quality using advanced quality assurance (QA) procedures. In a previous Modeling Tip, we highlighted the QA options built into the AERMET model. The tool analyzes the surface file output by AERMET (*.SFC) and reports quality of variables being passed to the AERMOD model.
AERMAP is the US EPA’s terrain preprocessor for the AERMOD modeling system. AERMAP reads digital terrain data (e.g., USGS 3DEP [formerly NED] digital elevation models in GeoTIFF format) and calculates base elevations for sources and receptors and hill height scale factors for receptors. An integral part of executing AERMAP is identifying the files which will cover the modeling domain and satisfy these calculations.
Most air dispersion modeling analyses will result in a large number of data files. Besides input and output files, projects can contain meteorological data, terrain data, digital base maps, and other external data files. Whether you’re modeling a simple scenario in AERMOD or a complex regional study in CALPUFF, there will be many different file types to account for.
There are a number of ways to add source data to your AERMOD View project. This video shows you how to import sources using an Excel spreadsheet template.
The US EPA AERMET model is a meteorological preprocessor that prepares meteorological data into a format suitable for use by the US EPA AERMOD model. AERMET requires the input of two types of met data