Interception of wet deposited atmospheric pollutants by herbaceous vegetation: Data review and modelling

Quantification of Conceptual Model Uncertainty in the Modeling of Wet Deposited Atmospheric Pollutants

“…The present study builds upon the analysis and results of (Gonze & Sy, 2016), in which two process‐based models for interception of wet deposited pollutants are developed and analyzed in terms of parameter uncertainty and model performance. In (Gonze & Sy, 2016) as well as in the present study, it is assumed that the measure of the total uncertainty of model output is given by the residual between modeled output and the experimentally obtained quantity. Under this assumption, it is also implicitly granted that the data used to carry out quantitative uncertainty analysis is representative of the studied quantity/process.…”

“…The amount of pollutant absorbed by the plant will be due to the balance between drainage and absorption mechanisms, water storage capacity and chemical valence of the pollutant. In fact, it is observed that inert particles interact more with leaf surfaces than divalent cations and these are more reactive than monovalent cations (Gonze & Sy, 2016). Anions (e.g.…”

“…Of the 440 observations, (Gonze & Sy, 2016) use 363 data points for calibrating the free parameters CR, SLA , L for EM and J/K , SLA , L for KM as shown in Fig. 1 (top).…”

“…Radioecological models have often a very simple mathematical structure, for example transfer factors or parametric equations (Urso, Hartmann, Diener, Steiner, & Vives i Batlle, 2015), that lacks of causal attributes and that represents in an aggregated form the processes under consideration. For example, conceptual model uncertainty in radioecology plays an important role when (Gonze & Sy, 2016), (Salbu, 2016): empirical, highly sensitive parameters are used, for example the so‐called concentration ratios and transfer factors. Concentration ratios quantify the transfer from one medium to another one, for example concentration ratio soil–plant, soil–mushroom, soil–cow milk, and so on.…”

Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China

“…By initially intercepting and retaining pollutants (e.g. on foliage and root), plants are often used as biological filters, to some extent, determine the level of contamination that can be expected in soil (Gonze and Sy, 2016;Luo et al, 2019).…”