R/species.R

In EmissV: Tools for Create Emissions for Air Quality Models

#' Species mapping tables
#'
#' @description Set of tables for speciation:
#'
#' \describe{
#'   \item{voc_radm2_mic}{Volatile organic compounds for RADM2}
#'   \item{voc_cbmz_mic}{Volatile organic compounds for CBMZ}
#'   \item{voc_moz_mic}{Volatile organic compounds for MOZART}
#'   \item{voc_saprc99_mic}{volatile organic compounds for SAPRC99}
#'   \item{veicularvoc_radm2_iag}{Vehicular volatile organic compounds for RADM2 (MOL)}
#'   \item{veicularvoc_cbmz_iag}{Vehicular volatile organic compounds for CBMZ (MOL)}
#'   \item{veicularvoc_moz_iag}{Vehicular volatile organic compounds for MOZART (MOL)}
#'   \item{veicularvoc_saprc99_iag}{Vehicular volatile organic compounds for SAPRC99 (MOL)}
#'   \item{pm_madesorgan_iag}{Particulate matter for made/sorgan}
#'   \item{pm25_madesorgan_iag}{Fine particulate matter for made/sorgan}
#'   \item{nox_iag}{Nox split Perez Martínez et al (2014)}
#'   \item{nox_bcom}{Nox split usin Ntziachristos and Zamaras (2016)}
#'   \item{voc_radm2_edgar432}{Volatile organic compounds species from EDGAR 4.3.2 for RADM2 (MOL)}
#'   \item{voc_moz_edgar432}{Volatile organic compounds species from EDGAR 4.3.2 for MOZART (MOL)}
#' }
#'
#' - Volatile organic compounds species map from 1 to 4 are from Li et al (2014) taken into account
#' several sources of pollutants.
#'
#' - Volatile organic compounds from vehicular activity species map 5 to 8 is a by fuel and emission
#' process from USP-IAG tunel experiments (Rafee et al., 2017) emited by the process of exhaust
#' (through the exhaust pipe), liquid (carter and evaporative) and vapor (fuel transfer operations).
#'
#' - Particulate matter speciesmap for made/sorgan emissions 9 and 10.
#'
#' - Nox split using Perez Martínez et al (2014) data (11).
#'
#' - Nox split using mean of Ntziachristos and Zamaras (2016) data (12).
#'
#' - Volatile organic compounds species map 13 and 14 are the corespondence from EDGAR 4.3.2 VOC
#' specialization to RADM2 and MOZART.
#'
#' @details iag-voc: After estimating all the emissions of NMHC, it was used the speciation
#' presented in (RAFEE et al., 2017). This speciation is based on tunnel measurements
#' in São Paulo, depends on the type of fuel (E25, E100 and B5) and provides the
#' mass of each chemical compound as mol/g. This speciation splits the NMHC
#' from evaporative, liquid and exhaust emissions of E25, E100 and B5, into minimum
#' compounds required for the Carbon Bond Mechanism (CBMZ) (ZAVERI; PETERS, 1999). Atmospheric
#' simulations using the same pollutants in Brazil have resulted in good agreement with
#' observations (ANDRADE et al., 2015).
#'
#' iag-pm: data tunnel experiments at São Paulo in Perez Martínez et al (2014)
#'
#' iag-nox: common NOx split for São Paulo Metropolitan area.
#'
#' bcom-nox: mean of Ntziachristos and Zamaras (2016) data.
#'
#' mic: from Li et al (2014).
#'
#' edgar: Edgar 4.3.2 emissions Crippa et al. (2018).
#'
#' @note The units are mass ratio (mass/mass) or MOL (MOL), this last case do not change the
#' default 'mm' into 'emission()' function.
#'
#' @format List of numeric vectors with the 'names()' of the species and the values of each species.
#'
#' @seealso \code{\link{speciation}} and \code{\link{read}}
#'
#' @references
#' Li, M., Zhang, Q., Streets, D. G., He, K. B., Cheng, Y. F., Emmons, L. K., ... & Su, H. (2014).
#' Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple
#' chemical mechanisms. Atmos. Chem. Phys, 14(11), 5617-5638.
#'
#' Huang, G., Brook, R., Crippa, M., Janssens-Maenhout, G., Schieberle, C., Dore, C., ... &
#' Friedrich, R. (2017). Speciation of anthropogenic emissions of non-methane volatile organic
#' compounds: a global gridded data set for 1970–2012. Atmospheric Chemistry and Physics, 17(12),
#' 7683.
#'
#' Abou Rafee, S. A., Martins, L. D., Kawashima, A. B., Almeida, D. S., Morais, M. V. B.,
#' Souza, R. V. A., Oliveira, M. B. L., Souza, R. A. F., Medeiros, A. S. S., Urbina, V.,
#' Freitas, E. D., Martin, S. T., and Martins, J. A.: Contributions of mobile, stationary and
#' biogenic sources to air pollution in the Amazon rainforest: a numerical study with the
#' WRF-Chem model, Atmos. Chem. Phys., 17, 7977-7995, https://doi.org/10.5194/acp-17-7977-2017,
#' 2017.
#'
#' Martins, L. D., Andrade, M. F. D., Freitas, E., Pretto, A., Gatti, L. V., Junior, O. M.
#' A., et al. (2006). Emission factors for gas-powered vehicles traveling through
#' road tunnels in Sao Paulo, Brazil. Environ. Sci. Technol. 40, 6722–6729. doi: 10.1021/es052441u
#'
#' Pérez-Martínez, P. J., Miranda, R. M., Nogueira, T., Guardani, M. L., Fornaro, A., Ynoue, R., &
#' Andrade, M. F. (2014). Emission factors of air pollutants from vehicles measured inside road
#' tunnels in São Paulo: case study comparison. International Journal of Environmental Science
#' and Technology, 11(8), 2155-2168.
#'
#' ANDRADE, M. d. F. et al. Air quality forecasting system for southeastern brazil. Frontiers in
#' Environmental Science, Frontiers, v. 3, p. 1–12, 2015.
#'
#' Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., Aardenne, J. A. V., ... &
#' Janssens-Maenhout, G. (2018). Gridded emissions of air pollutants for the period 1970–2012
#' within EDGAR v4.3.2. Earth System Science Data, 10(4), 1987-2013.
#'
#' @examples
#' # load the mapping tables
#' data(species)
#' # names of eath mapping tables
#' for(i in 1:length(names(species)))
#'     cat(paste0("specie map ",i," ",names(species)[i],"\n"))
#' # names of species contained in the (first) mapping table
#' names(species[[1]])
#' # The first mapping table / species and values
#' species[1]
#' @usage data(species)
#' @docType data
"species"