[R] Advice on starting to analyze smokestack emissions?
Bert Gunter
bgunter@4567 @end|ng |rom gm@||@com
Tue Dec 12 16:52:59 CET 2023
You might also try the R-Sig-ecology list, though I would agree that it's
not clearly related. Still, air pollution effects...?
-- Bert
On Tue, Dec 12, 2023 at 3:15 AM Kevin Zembower via R-help <
r-help using r-project.org> wrote:
> Hello, all,
>
> [Originally sent to r-sig-geo list, with no response. Cross-posting
> here, in the hope of a wider audience. Anyone with any experience in
> this topic? Thanks.]
>
> I'm trying to get started analyzing the concentrations of smokestack
> emissions. I don't have any professional background or training for
> this; I'm just an old, retired guy who thinks playing with numbers is
> fun.
>
> A local funeral home in my neighborhood (less than 1200 ft from my
> home) is proposing to construct a crematorium for human remains. I have
> some experience with the tidycensus package and thought it might be
> interesting to construct a model for the changes in concentrations of
> the pollutants from the smokestack and, using recorded wind speeds and
> directions, see which US Census blocks would be affected.
>
> I have the US Government EPA SCREEN3 output on how concentration varies
> with distance from the smokestack.
> See
> https://www.epa.gov/scram/air-quality-dispersion-modeling-screening-models#screen3
> if curious. As a first task, I'd like to see if I can calculate similar
> results in R. I'm aware of the 'plume' steady-state Gaussian dispersion
> package
> (https://rdrr.io/github/holstius/plume/f/inst/doc/plume-intro.pdf), but
> am a little concerned that this package was last updated 11 years ago.
>
> Do you have any recommendations for me on how to get started analyzing
> this problem? Is 'plume' still the way to go? I'm aware that there are
> many atmospheric dispersion models from the US EPA, but I was hoping to
> keep my work within R, which I'm really enjoying using and learning
> about. Are SCREEN3 and 'plume' comparable? Is this the best R list to
> ask questions about this topic?
>
> Thanks for any advice or guidance you have for me.
>
> -Kevin
>
>
>
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
More information about the R-help
mailing list