Characterizing export of land-based microplastics to the estuary - Part II: Sensitivity analysis of an integrated geospatial microplastic transport modeling assessment of tire and road wear particles

The Effect of Wastewater Treatment Plants on Retainment of Plastic Microparticles to Enhance Water Quality—A Review

“…While tire and roadwear particles have been investigated for a long time from a road safety point of view, their environmental impact has come to the fore only relatively recently [19]. Models have shown that appreciable amounts of microplastics from TRWP are swept into surface waters [84] [85], where a recent calculation showed that 8700 -19,800 tons per year of TRWP, amounting to 12% -20% of the emitted total, reach surface water, alone in Germany [86]. Tyres are known to be very complex constructs, incorporating many small organic molecules.…”

The marine plastic footprint

“…State-of-the-art values to be used are reported below (Unice et al, 2018a(Unice et al, , 2018b. Note: More recent publications highlight high seasonal variability in these loss rates and estimate these losses as per unit of road surface, rather than per km driven (Gustafsson et al, 2008).…”

Analysis and Research on Basic Model of Hydrogeological Parameters Based on Sensitivity Analysis

“…The degree of separation of the two cumulative frequency curves represents the sensitivity of the parameter, and the "objective function value" is represented by the sum of squares of the error between the simulated value and the measured value. The "measured value" is usually obtained by substituting the median value of each parameter value range into the model for simulation, rather than the actual observation value in the usual sense [8]. The value range (minimum and maximum) of each parameter is determined by parameter estimation and field measurement of the study area.…”

“…Obviously, this method does not consider the correlation between the parameters. Multi-parameter Sensitivity Analysis [8] (MPSA) is based on Monte Carlo simulation to change the values of all parameters at the same time, comprehensively considering the results of multiple (such as N times) model runs and simultaneously gives the sensitivity of each parameter. Moreover, the sensitivity measurement is not to compare the change value of the output variable with the change value of the parameter, but to classify the objective function value of the N simulations through the given index according to the defined objective function value (such as the sum of squares of the error), and then calculate the two based on the cumulative frequency of the group, the sensitivity of each parameter is judged.…”