Function describing exponential decline from a defined starting value, with a concentration dependent rate constant.
IORE.solution(t, parent_0, k__iore, N)
t | Time. |
---|---|
parent_0 | Starting value for the response variable at time zero. |
k__iore | Rate constant. Note that this depends on the concentration units used. |
N | Exponent describing the nonlinearity of the rate equation |
The value of the response variable at time t
.
The solution of the IORE kinetic model reduces to the
SFO.solution
if N = 1. The parameters of the IORE model can
be transformed to equivalent parameters of the FOMC mode - see the NAFTA
guidance for details.
NAFTA Technical Working Group on Pesticides (not dated) Guidance for Evaluating and Calculating Degradation Kinetics in Environmental Media
Other parent solutions:
DFOP.solution()
,
FOMC.solution()
,
HS.solution()
,
SFO.solution()
,
SFORB.solution()
,
logistic.solution()
# \dontrun{ fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE) fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE) fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE) print(data.frame(fit.fomc$par, fit.iore$par, fit.iore.deS$par, row.names = paste("model par", 1:4)))#> fit.fomc.par fit.iore.par fit.iore.deS.par #> model par 1 85.87489063 85.874890 85.874890 #> model par 2 0.05192238 -4.826631 -4.826631 #> model par 3 0.65096665 1.949403 1.949403 #> model par 4 1.85744396 1.857444 1.857444print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes, iore.deS = endpoints(fit.iore)$distimes))#> DT50 DT90 DT50back #> fomc 1.785233 15.1479 4.559973 #> iore 1.785233 15.1479 4.559973 #> iore.deS 1.785233 15.1479 4.559973# }