Dispersion Modeling Audits
Tips and tools to help you identify and correct any and all errors and omissions in a dispersion modeling analysis
A dispersion modeling analysis has many moving parts: source parameters, emission rates, ambient monitoring data, meteorological data, and more. If you are a consultant, did you get everything right? If you are a regulator, did you catch every error? If there are errors, do they delay the review process or completely invalidate the analysis? If there are millions of dollars on the line for your client or if there is impending litigation, wouldn't you want to be certain?
We will show you the process so you know what to look for and the tools to take care of what you find.
In my 20 year career with the TCEQ, my priority was to give guidance on dispersion modeling, so customers could provide an air quality analysis that the agency could approve. With decreasing agency resources and increasing regulatory demands, review timeframes were becoming extremely important for the agency and its customers. To expedite the review process while increasing the quality, I designed and developed tools to standardize and automate the review of air quality modeling analyses. The result was a more comprehensive and efficient process for agency staff and expeditious reviews for the regulated community.
From what I learned as a regulator, I wanted to provide the same level of automation for those compiling air quality analyses to submit to the TCEQ. Since I designed the system, I know the specifications and content necessary to take advantage of TCEQ’s system to quickly review and approve your analysis.
StartDispersion Modeling Audits: The Audit Process (55:25)
StartDispersion Modeling Audits: Representation Consistency (40:21)
StartDispersion Modeling Audits: Representation Accuracy (29:13)
StartDispersion Modeling Audits: Model Results and Other Issues (29:08)
StartDispersion Modeling Audits: Using NK Tools (37:53)