0
Article Tier 2 Environmental Sources Sign in to save

Microplastic and macroplastic yearly emission maps for Switzerland

AI summary Read the abstract

This dataset is a duplicate of the Swiss plastic emission maps dataset, providing spatially resolved annual microplastic and macroplastic emission estimates linked to a published proxy-based modeling study.

Dataset connected to the following publication: Title: A proxy-based approach to predict spatially resolved emissions of macro- and microplastic to the environment Authors: Delphine Kawecki; Bernd Nowack Journal: Science of the Total Environment Year: 2020 DOI: 10.1016/j.scitotenv.2020.141137 Contents: - Raster maps of emissions to soil and air - Shapefiles of emissions to lakes and rivers Separate files are provided for: - the seven different polymers included in the study: LDPE, HDPE, PP, PS, EPS, PVC, PET - the two sizes of plastic modelled: macroplastic and microplastic (files for microplastic contain the string "MP") - the maps created using the mean, the 5th percentile and the 95th percentile of the original emission flows - the receiving environmental compartment: soil, air, rivers and lakes For a detailed description of the method, see the publication.

More Papers Like This

Article Tier 2

Microplastic and macroplastic yearly emission maps for Switzerland

AI summary Read the abstract

This dataset provides spatially resolved annual microplastic and macroplastic emission maps for Switzerland, linked to a published proxy-based approach for predicting plastic emissions to the environment from different source categories.

Article Tier 2

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

AI summary Read the abstract

Using land-use statistics, traffic data, and wastewater infrastructure as proxies, researchers created high-resolution maps of microplastic and macroplastic emissions across Switzerland at the regional level. The approach reveals that plastic pollution is concentrated near urban and high-traffic areas but varies substantially by polymer type and emission source.

Article Tier 2

Using Dynamic Release Modeling to Predict Historic and Current Macro- and Microplastic Releases

AI summary Read the abstract

Researchers developed a Dynamic Probabilistic Material Flow Analysis model coupled with a release model to quantify historic and current macro- and microplastic emissions in Switzerland, providing a companion dataset to a publication in Resources, Conservation and Recycling.

Article Tier 2

Using Dynamic Release Modeling to Predict Historic and Current Macro- and Microplastic Releases

AI summary Read the abstract

Researchers developed a Dynamic Probabilistic Material Flow Analysis model coupled with a release model to quantify historic and current macro- and microplastic emissions in Switzerland, providing a dataset tracking plastic releases across product lifecycles.

Article Tier 2

A local-to-global emissions inventory of macroplastic pollution.

AI summary Read the abstract

This study developed a high-resolution global inventory of macroplastic pollution by distributing nationally reported waste management data down to sub-national and local scales, producing maps of plastic emission hotspots. The dataset is intended to support negotiations for a global plastics treaty by providing a data-driven baseline for identifying sources and prioritizing interventions.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper