Research Data Leeds Repository
On-line Training Package: Part 1/2: Waste Flow Diagram (WFD): A rapid assessment tool for mapping waste flows and quantifying plastic leakage.
Citation
GIZ, University of Leeds, Eawag-Sandec, Wasteaware (2020) On-line Training Package: Part 1/2: Waste Flow Diagram (WFD): A rapid assessment tool for mapping waste flows and quantifying plastic leakage. University of Leeds. [Dataset] https://doi.org/10.5518/906
This item is part of the Waste Flow Diagram collection.Dataset description
Part 1 of 2 - the “Introduction to the Waste Flow Diagram” video explains the rationale toolkit, as well as providing guidance on how the tool simply visualises solid waste management systems and waste flows. In addition, the video further advises on how the toolkit quantifies plastic waste leakages, what the data requirement are and explains the unique link between the Waste Flow Diagram and the Sustainable Development Goal 11.6.1 - Proportion of urban solid waste regularly collected and with adequate final discharge out of total urban solid waste generated, by cities.
Keywords: | Municipal solid waste, plastic pollution, marine litter, waste flows, open burning, SDG 11.6.1 | ||||||
---|---|---|---|---|---|---|---|
Subjects: | F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F753 - Pollution control H000 - Engineering > H200 - Civil engineering |
||||||
Divisions: | Faculty of Engineering and Physical Sciences > School of Civil Engineering | ||||||
Related resources: |
|
||||||
Citation: | GIZ, University of Leeds, Eawag-Sandec, Wasteaware (2020). On-line Training Package: Part 1/2: Waste Flow Diagram (WFD): A rapid assessment tool for mapping waste flows and quantifying plastic leakage. Principal Investigator: Velis C.A. Research team: Cottom J., Zabaleta I., Zurbruegg C., Stretz J. and Blume S. Zurich, Switzerland and Leeds, UK. | ||||||
License: | Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) | ||||||
Date deposited: | 05 Oct 2020 10:24 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/752 | ||||||