Using FME to Derive Fishnet Air Emission Values
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The document outlines the process for deriving air emission values using a fishnet grid system, focusing on residential and transportation emissions across a defined study area. It describes the inputs needed, including bounding coordinates and emission data for different pollutants, as well as the desired outputs such as grid cell identifiers and average elevations. The method emphasizes ease of use and repeatability, making it suitable for air quality assessments supporting industrial applications.
Using FME to Derive Fishnet Air Emission Values
- 1. Using FME to Derive Fishnet Air Emission Values Sean Kurash
- 2. About Me Golder Associates Ltd. GIS Analyst Sean Kurash E.I.T.
- 3. Summarize Air Emissions by a Grid • Create Fishnet (A grid of squares) with corner coordinates • Calculate residential and transportation air emissions for each cell.
- 4. Purpose Used among other sources to derive the background concentration of air emissions within the air study area for an air quality assessment report supporting an industrial approval application. from townipproject.wikispaces.com from www.freefoto.com http://www.freefoto.com/browse/99-05-0
- 5. Inputs and Outputs What we have • Bounding coordinates of study area • Fish net parameters – 50 km by 50 km 5 km² grid cells. • Census Dissemination areas and highway GIS data. • Transportation and Residential Emissions by Region for 8 pollutants. What we want • Fishnet of grid cells with ID and coordinates • Air emissions for each grid cell ID and each pollutant. • Average elevation for each grid cell
- 7. It’s All in the Equations Estimate residential emissions by scaling division emissions using population density of the dissemination areas. For Transportation emissions, length of highways was also used.
- 10. The Workbench 3
- 11. The Workbench 4
- 12. The Workbench 5
- 13. Complex process at the click of a button. See only the desired intermediate datasets for QA. Method is documented Repeatable Clean attributes!
Editor's Notes
- #5: Used among other sources to derive the background concentration of air emissions within the Air study area for an air quality assessment report supporting an industrial approval application.
- #7: Creates the study area from a CSV with its bounding coordinates and outputs the study area. Tiles the study area into the grid cells Creates sequential left to right, top to bottom Cell IDs with ExpressionEvaluators Create coordinates for each cell with BoundsExtractor
- #8: We assume areas with a higher population density would produce proportionally higher residence emissions. For Transportation, road segment weight =length*population density, road segment factor = Weight * sum of all weights, and Road segment Emission = factor * Total Division Emission.
- #14: Once the workbench is set up, you only need the input data prep and you can complete the complex process at the click of a button. All those attribute renamers and attribute removers make for nice clean attribute tables! Method is documented in the fmw