A model to speciate emissions. In the future, it will include estimation methods, methods, classes and more.
It includes emissions from:
Kawashima, A. B., Martins, L. D., Abou Rafee, S. A., Rudke, A. P., #’ de Morais, M. V., & Martins, J. A. (2020). #’ Development of a spatialized atmospheric emission inventory for the main #’ industrial sources in Brazil. Environmental Science and Pollution Research, 1-11.
remotes::install_github("atmoschem/fem")
pm <- rnorm(n = 100, mean = 400, sd = 2)
(df <- fem::spec_industry(pm, code = "01_petroleum"))
#> x species
#> 1: 5.8170167 1-(1,1-dimethylethyl)-3,5-dimethylbenzene
#> 2: 5.7659381 1-(1,1-dimethylethyl)-3,5-dimethylbenzene
#> 3: 5.7898846 1-(1,1-dimethylethyl)-3,5-dimethylbenzene
#> 4: 5.8304557 1-(1,1-dimethylethyl)-3,5-dimethylbenzene
#> 5: 5.8368646 1-(1,1-dimethylethyl)-3,5-dimethylbenzene
#> ---
#> 14496: 0.2073150 vinyl chloride
#> 14497: 0.2063975 vinyl chloride
#> 14498: 0.2068395 vinyl chloride
#> 14499: 0.2065491 vinyl chloride
#> 14500: 0.2069582 vinyl chloride
FEM is designed to be used with VEIN and generate inputs for different chemical mechanisms
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