R/Clam_ind_pre.R

#' Clam bioenergetic individual model preprocessor
#'
#' @param userpath the path where folder containing model inputs and outputs is located
#' @param forcings a list containing model forcings
#' @return a list containing the time series in the odd positions and realted forcings in the even positions. Forcings returned are: Water temperature [Celsius degrees], Chlorophyll a concentration [mgChl-a/m^3], particulated organic carbon (POC) concentration [mgC/l], particulated organic matter (POM) concentration [mgC/l], total suspended solids (TSS) concentration [mg/l]
#'
#' @import matrixStats plotrix rstudioapi
#'
#' @import grDevices graphics utils stats
#'

Clam_ind_pre<-function(userpath,forcings){

rm(list=ls())       # Clean workspace

  # Extracts forcings values from the list
  timeT=forcings[[1]]
  Tint=forcings[[2]]
  timeChl=forcings[[3]]
  Chlint=forcings[[4]]
  timePOC=forcings[[5]]
  POCint=forcings[[6]]
  timePOM=forcings[[7]]
  POMint=forcings[[8]]
  timeTSS=forcings[[9]]
  TSSint=forcings[[10]]

cat("Data preprocessing")

# Read forcings and parameters from .csv files
Param_matrix=read.csv(paste0(userpath,"/Clam_individual/Inputs/Parameters//Parameters.csv"),sep=",")                      # Reading the matrix containing parameters and their description

# Extract parameters and forcing values from parameters matrix and convert to type 'double' the vector contents
Param=as.double(as.matrix(Param_matrix[1:22,3]))     # Vector containing all parameters
Dates=Param_matrix[24:25,3]                          # Vector containing the starting and ending date of teh simulation
IC=as.double(as.matrix(Param_matrix[23,3]))          # Initial weight condition
CS=as.double(as.matrix(Param_matrix[26,3]))                # Commercial size

# Prepare data for ODE solution
t0=min(as.numeric(as.Date(timeT[1], "%d/%m/%Y")), as.numeric(as.Date(timeChl[1], "%d/%m/%Y")), as.numeric(as.Date(timePOC[1], "%d/%m/%Y")), as.numeric(as.Date(timePOM[1], "%d/%m/%Y")), as.numeric(as.Date(timeTSS[1], "%d/%m/%Y")), as.numeric(as.Date(Dates[1], "%d/%m/%Y"))) # starting minimum starting date for forcings and observations
timestep=1                                           # Time step for integration [day]
ti=as.numeric(as.Date(Dates[1], "%d/%m/%Y"))-t0      # Start of integration [day]
tf=as.numeric(as.Date(Dates[2], "%d/%m/%Y"))-t0      # End of integration [day]
weight=as.vector(matrix(0,nrow=ti))                  # Initialize vector weight
weight[ti]=IC                                        # Weight initial value [g]
times<-cbind(ti, tf, timestep)                       # Vector with integration data

# Initial conditions
aF=Param[18]             # [gWW] Dry weight - wet weight conversion coefficient
bF=Param[19]             # [-] Dry weight - wet weight exponent
a=Param[20]              # [m] Dry weight - length conversion coefficient
b=Param[21]              # [-] Weight to length exponent

Wd=as.vector(matrix(0,nrow=ti))            # Initialize vector dry weight
Wd[ti]=IC                                  # dry weight initial value [g]
Ww=as.vector(matrix(0,nrow=ti))            # Initialize vector wet weight
Ww[ti]=(Wd[ti]/aF)^(1/bF)                 # Wet weight initial value [g]
L=as.vector(matrix(0,nrow=ti))             # Initialize vector length
L[ti]=(Ww[ti]/a)^b                         #Length of the clam initial value [mm]

# Detritus
lambda=Param[22]    # Chla-C proportionality coefficient: relates Chlorophyll-a to phytoplankton concentration
Phyint=as.vector(matrix(0,nrow=ti-1))  # Initialize vector Phyint
DTint=as.vector(matrix(0,nrow=ti-1))   # Initialize vector DTint
for (i in ti:tf) {
  Phyint[i]=lambda*Chlint[i]/1000   # Phytoplankton concentration [mgC/l]
  DTint[i]=POCint[i]-Phyint[i]       # Detritus concentration [mgC/l]
  if (DTint[i] < 0)   {              # Adjusts "wrong" detritus values
    DTint[i]=0
  }  # end if
}  # end for


# Print to screen inserted parameters

cat(" \n")
cat('The model will be executed with the following parameters:\n');
cat(" \n")
for (i in 1:22){
cat(paste0(toString(Param_matrix[i,2]), ": ", toString(Param_matrix[i,3]), " " ,toString(Param_matrix[i,4])),"\n")
}

cat(" \n")
cat('Weight initial condition is: ', toString(IC)," g\n")
cat(" \n")
cat("Integration is performed between ", toString(Dates[1]), " and ", toString(Dates[2]),"\n")
cat(" \n")
cat('Commercial size is ', toString(CS)," mm")
cat(" \n")

# Plot to screen inserted forcing functions
cat(" \n")
cat("Forcings are represented in graphs available at the following folder\n")
cat(paste0(userpath,"/Clam_individual/Inputs/Forcings_plots\n"))

# Plot Temperature forcing
Tintsave=Tint[ti:tf]
currentpath=getwd()
filepath=paste0(userpath,"/Clam_individual/Inputs/Forcings_plots//Water_temperature.jpeg")
jpeg(filepath,800,600)
days <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), by = "days", length = tf-ti+1)
plot(days, Tintsave, ylab="Water temperature (Celsius degrees)", xlab="",xaxt = "n",type="l",cex.lab=1.4)
labDates <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), tail(days, 1), by = "months")
axis.Date(side = 1, days, at = labDates, format = "%d %b %y", las = 2)
dev.off()

# Plot Chla forcing
Chlaintsave=Chlint[ti:tf]
currentpath=getwd()
filepath=paste0(userpath,"/Clam_individual/Inputs/Forcings_plots//Chlorophyll_a.jpeg")
jpeg(filepath,800,600)
days <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), by = "days", length = tf-ti+1)
plot(days, Chlaintsave, ylab="Chlorophyll_a (mg/m^3)", xlab="", xaxt = "n",type="l",cex.lab=1.4)
labDates <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), tail(days, 1), by = "months")
axis.Date(side = 1, days, at = labDates, format = "%d %b %y", las = 2)
dev.off()

# plot POC forcing
POCintsave=POCint[ti:tf]
currentpath=getwd()
filepath=paste0(userpath,"/Clam_individual/Inputs/Forcings_plots//POC.jpeg")
jpeg(filepath,800,600)
days <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), by = "days", length = tf-ti+1)
plot(days, POCintsave, ylab="POC (mgC/l)", xlab="", xaxt = "n",type="l",cex.lab=1.4)
labDates <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), tail(days, 1), by = "months")
axis.Date(side = 1, days, at = labDates, format = "%d %b %y", las = 2)
dev.off()

# Plot POM forcing
POMintsave=POMint[ti:tf]
currentpath=getwd()
filepath=paste0(userpath,"/Clam_individual/Inputs/Forcings_plots//POM.jpeg")
jpeg(filepath,800,600)
days <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), by = "days", length = tf-ti+1)
plot(days, POMintsave, ylab="POM (mg/l)", xlab="", xaxt = "n",type="l",cex.lab=1.4)
labDates <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), tail(days, 1), by = "months")
axis.Date(side = 1, days, at = labDates, format = "%d %b %y", las = 2)
dev.off()

# Plot TSS forcing
TSSintsave=TSSint[ti:tf]
currentpath=getwd()
filepath=paste0(userpath,"/Clam_individual/Inputs/Forcings_plots//TSM.jpeg")
jpeg(filepath,800,600)
days <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), by = "days", length = tf-ti+1)
plot(days, TSSintsave, ylab="TSM (mg/l)", xlab="", xaxt = "n",type="l",cex.lab=1.4)
labDates <- seq(as.Date(Dates[1], format = "%d/%m/%Y"), tail(days, 1), by = "months")
axis.Date(side = 1, days, at = labDates, format = "%d %b %y", las = 2)
dev.off()

output=list(Param, times, Dates, IC, Tint, Phyint, DTint, POCint, POMint, TSSint, CS)

}

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RAC documentation built on May 2, 2019, 3:26 a.m.