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114 industrial emissions data sourcing #140
114 industrial emissions data sourcing #140
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I left comments on specific scripts. I figured that was the best way to advance the conversation! There's only a couple of points that perhaps we should discuss, which may (or may not) yield some minor changes, upon which time I could approve.
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Approving, with the following issues noted to be addressed in a subsequent release/PR:
issues to work on down the road. Those being, in order of importance:
- Filter out remaining CMAP doublecounts
- Investigate city/township point sources
- Reconcile GWPs
- Potentially others
…ourcing Signed-off-by: LimerickSam <[email protected]>
This PR pulls in industrial data from three principal sources: the EPA National Emissions Inventory (NEI), the EPA GHG Reporting Program (GHGRP) and an MPCA provided fuel throughput dataset. The complementarity and weaknesses of these three datasets are explored in detail in the industrial_data_source.qmd file.
The files needing the most thorough attention are:
compile_ghgrp_emissions (brings in full dataset)
compile_fuel_combustion (breaks subpart c, fuel combustion, of ghgrp into constituent fuel types)
compile_mpca_industrial_fuel_permits (brings in MPCA dataset)
model_baseline_industrial_emissions (attempts to backcast to earlier years of emissions by anchoring to the MN GHG Inventory)
NEI data should also be reviewed, but is difficult to use due to broad categorization that included powerplants and other double counted emission sources, so is currently not being reported to county_emissions.
FLIGHT data was a wrapper for GHGRP which was processed prior to finding the GHGRP core data, which provides much more flexibility and information.
Some comparisons between MPCA and EPA data were started, but need to be revisited later and can be ignored for now.
Checklist
Please complete this checklist as a courtesy to the PR reviewer.
Code and styling
setwd()
file.path(here::here(), "file_name"))
to source any scripts or read in datarenv::install()
styler::style_dir(".", recursive = TRUE, filetype = c("R", "qmd"))
source = "chunk-name"
inplot_ly()
councilR::plotly_layout()
?out.width: "95%"
. If a specific height is needed, use pixels. and/orout.height: "500px"
Document editing
render_for_publication.R
GitHub and project management