Observed concentrations over time should not be modelled with a Lognormal distribution
I routinely use the log-normal distribution for positive constrained values. because (due to the property of probability to distributions to have a unit integral) probability density values decrease. This means automatically, higher concentration values will be less likely than lower concentration values (even relative to the mean value). Which results in higher concentration values having a proportionally higher influence on the joint likelihood.