A proxy-based approach to predict spatially resolved emissions of macro- and microplastic to the environment.

Large disparities on micro- and macroplastic concentrations are to be expected between residential, industrial, natural and agricultural areas, since specific uses of plastic will determine the magnitude of the corresponding emissions. The aim of this work was to develop a method to regionalize emissions of macroplastic and microplastic for soil, freshwater and air using geographical datasets on land-use statistics, traffic and population densities, wastewater treatment plants and combined sewer overflows as proxies. High resolution maps of the emissions were then generated for micro- and macroplastic using emission data available for Switzerland for seven commonly used polymers (low-density-polyethylene, high-density-polyethylene (HDPE), polypropylene (PP), polystyrene, expanded polystyrene, polyvinyl-chloride and polyethylene-terephthalate). Most of the emissions can be found in areas with high human activity, but the influence of the different proxies varies for each polymer. The median emission rate of macroplastic on soil varies from 0.0006 to 0.06 kg/ha/year, whereas no emission flows are predicted for more than 50% of the raster cells for microplastic regardless of the polymer, but the maxima can reach up to 12.7 kg/ha/a in the case of HDPE. The average emission rate of macroplastic along river segments ranges between 0.062 kg/km/a and 1.5 kg/km/a. For microplastic, the average emission rate varies from 0.0025 kg/km/a to 0.11 kg/km/a. The analysis reveals that a significant deviation is expected if the population density is used as only proxy. The correlation between the population density and the predicted emissions is only r = 0.16-0.23 for a cell size of 100 × 100 m and goes up to r = 0.86-0.88 for a resolution of 10 km, however an r of only 0.56-0.68 is observed for those polymers used a lot in agriculture such as HDPE and PP. The emission maps obtained in this work can serve as input to regionalized fate models for macro- and microplastics.

Systematic Consideration of Parameter Uncertainty and Variability in Probabilistic Species Sensitivity Distributions.

The calculation of a species sensitivity distribution (SSD) is a commonly accepted approach to derive the predicted no-effect concentration (PNEC) of a substance in the context of environmental risk assessment. The SSD approach usually is data demanding and incorporates a large number of ecotoxicological values from different experimental studies. The probabilistic SSD (PSSD) approach is able to fully consider the variability between different exposure conditions and material types, which is of great importance when constructing an SSD for any chemical, especially for nanomaterials. The aim of our work was to further develop the PSSD approach by implementing methods to better consider the uncertainty and variability of the input data. We incorporated probabilistic elements to consider the uncertainty associated with uncertainty factors by using probability distributions instead of single values. The new PSSD method (named "PSSD+") computes 10 000 PSSDs based on a Monte Carlo routine. For each PSSD calculated, the hazardous concentration for 5% of species (HC5 ) was extracted to provide a PNEC distribution based on all data available and their associated uncertainty. The PSSD+ approach also includes the option to consider a species weighting according to a typically constituted biome. We applied this PSSD+ approach to a previously published data set on C nanotubes and Ag nanoparticles. The evaluation of the uncertainty factor distributions and species weighting have shown that the proposed PSSD method is robust with respect to the calculation of the PNEC value. Furthermore, we demonstrated that the PSSD+ can handle both small and more comprehensive data sets because the PNEC distributions are a close representation of the data available. Finally, the sensitivity testing toward data set variations showed that the maximum variation of the mean PNEC was of a factor of about 2, so that the method is relatively insensitive to missing data points as long as the most sensitive species is included. Integr Environ Assess Manag 2020;16:211-222. © 2019 SETAC.

Dynamic probabilistic material flow analysis of rubber release from tires into the environment.

The presence of microplastics in the environment is currently receiving a lot of attention. Rubber particles from tire wear have been estimated in several mass emission inventories to be a major contributor to the total microplastic release. This work used dynamic probabilistic material flow analysis to quantify the flows of rubber particles from tires to roads and further onto soils and surface waters of Switzerland. The model considered the whole life-cycle of tires from import over the use phase to the end-of-life and the re-use of scrap tires. Uncertainties of model parameters and data variability were considered by using a probabilistic approach. Mass flows onto soils and through road drainage by both uncontrolled dispersal and engineered systems are considered. In addition, the release of rubber from artificial turfs was included. The accumulation of rubber particles in the environment was quantified over the time frame from 1988 to 2018. The results show that in 2018, 1.29 ±â€¯0.45 kg/capita of rubber was emitted from tire wear (97%) and rubber granules (3%). Street cleaning and waste water treatment removed around 26% of this rubber mass before finally reaching the receiving environmental compartment, resulting in an effective input of 0.96 ±â€¯0.35 kg/capita of rubber in 2018 into the natural environment. Most of this mass (74%) was deposited on roadside soils (up to 5 m distance from road), 22% flowed into surface waters and the remaining part (4%) was emitted to soils. The dynamic modeling showed an increase of the input into the environment by about 10% from 1990 to 2018. The ban of sewage sludge application on soils resulted in a marked decrease in the amount transferred to soils after the year 2000. In total, 219 ±â€¯22 ktonnes of rubber particles have accumulated in the environment since 1988 in Switzerland.

Polymer-Specific Modeling of the Environmental Emissions of Seven Commodity Plastics As Macro- and Microplastics.

Plastic has been identified as an emerging contaminant in aquatic and terrestrial ecosystems. Uncertainties remain concerning the amounts present in the environment and the main responsible sources. In this study, the emissions of macro- and microplastics have been mapped for seven polymers in Switzerland. The modeling is based on a complete analysis of the flows from production and use to end-of-life using probabilistic material flow analysis. We estimate that 94 ± 34 g/capita/year of low-density polyethylene, 98 ± 50 g/cap/a of high-density polyethylene, 126 ± 43 g/cap/a of polypropylene, 24 ± 13 g/cap/a of polystyrene, 16 ± 12 g/cap/a of expanded polystyrene, 65 ± 36 g/cap/a of polyvinyl chloride, and 200 ± 120 g/cap/a of polyethylene terephthalate enter the Swiss environment. All polymers combined, 540 ± 140 and 73 ± 14 g/cap/a are emitted into soil as macroplastics and microplastics, respectively, and 13.3 ± 4.9 and 1.8 ± 1.1 g/cap/a are emitted into freshwater as macroplastics and microplastics, respectively. The leading emission pathway is littering for both terrestrial and aquatic environments. Construction, agriculture, and pre- and postconsumer processes cause important emissions of microplastics into soils, and postconsumer processes, textiles, and personal care products release most of the microplastics into waters. Because mass flows into soils are predicted to be 40 times larger than those into waters, more attention should be placed on this compartment. Our work also highlights the importance of referring to specific polymers instead of just "plastics".

Shifted equilibria of organic acids and bases in the aqueous surface region.

Acid-base equilibria of carboxylic acids and alkyl amines in the aqueous surface region were studied using surface-sensitive X-ray photoelectron spectroscopy and molecular dynamics simulations. Solutions of these organic compounds were examined as a function of pH, concentration and chain length to investigate the distribution of acid and base form in the surface region as compared to the aqueous bulk. Results from these experiments show that the neutral forms of the studied acid-base pairs are strongly enriched in the aqueous surface region. Moreover, we show that for species with at least four carbon atoms in their alkyl-chain, their charged forms are also found to be abundant in the surface region. Using a combination of XPS and MD results, a model is proposed that effectively describes the surface composition. Resulting absolute surface concentration estimations show clearly that the total organic mole fractions in the surface region change drastically as a function of solution pH. The origin of the observed surface phenomena, hydronium/hydroxide concentrations in the aqueous surface region and why standard chemical equations, used to describe equilibria in dilute bulk solution are not valid in the aqueous surface region, are discussed in detail. The reported results are of considerable importance especially for the detailed understanding of properties of small aqueous droplets that can be found in the atmosphere.

Probabilistic Material Flow Analysis of Seven Commodity Plastics in Europe.

The omnipresence of plastics in our lives and their ever-increasing application range continuously raise the requirements for the monitoring of environmental and health impacts related to both plastics and their additives. We present a static probabilistic material flow analysis of seven polymers through the European and Swiss anthropospheres to provide a strong basis for exposure assessments of polymer-related impacts, which necessitates that the plastic flows from production to use and finally to waste management are well-understood. We consider seven different polymers, chosen for their popularity and application variety: low-density polyethylene (LDPE), high-density polyethylene (HDPE), polypropylene (PP), polystyrene (PS), expanded polystyrene (EPS), polyvinyl chloride (PVC), and polyethylene terephthalate (PET). We include synthetic textile products and consider trade flows at various stages of the life cycle, thus achieving a complete overview of the consumption for these polymers. In Europe, the order of consumption is PP > LDPE > PET > HDPE > PVC > PS > EPS. Textile products account for 42 ± 3% of the consumption of PET and 22 ± 4% of PP. Incineration is the major waste management method for HDPE, PS, and EPS. No significant difference between landfilling and incineration for the remaining polymers is found. The highest recycling share is found for PVC. These results can serve as a basis for a detailed assessment of exposure pathways of plastics or their additives in the environment or exposure of additives on human health.