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@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@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]] ______________________________________________ R-help@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.
