Real Time Modelling of Air Borne Contaminant Plumes and Accumulated Exposure
With support from Minnich Scotto International (leaders in the application of optical remote sensing for assessing emission rates), the Waiora application has been extended to enable the generation of real time geospatial models of air contaminant plumes and accumulated exposure levels against aerial maps. This is done using a mathematically produced blend of Fourier-transform infrared spectroscopy (FTIR) / AERMOD (The US EPA's preferred regulatory model for short-range (up to 50km) dispersion of air pollutant emissions from stationary industrial sources) and factoring in other real time data inputs, such as metrological conditions
Sometimes referred to as “wholeplume sampling,”, the use of U.S. EPA Toxic Organic Compendium Method 16 – FTIR (Method TO-16) eliminates the spatial “data representativeness” problem that plagues the use of point sampling methods. By obtaining downwind concentrations which span the entire crosswind dimension of the plume, the issue of spatial data representativeness is solved. Further, because analyses are performed in situ (i.e., there is no sample per se), all “sample handling errors” are eliminated and re-analysis can be performed at any time.
The Waiora platform then maps contaminant concentrations and cumulative daily exposure allowing regulatory and other limits to be monitored and alerts to set based upon these. When used to ensure compliance with environmental permits, this data can be used to support enforcement of conditions and add transparency to all reporting by making results available to all stakeholders in an easy-to-grasp visual manner. As with all other Waiora projects, all project documentation, messaging and results are archived for playback at any time.