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Comprehensive Review on Waste Generation Modeling

doi: 10.3390/su15043278
handle: 11012/213575
Strategic plans for waste management require information on the current and future waste generation as a primary data source. Over the years, various approaches and methods for waste generation modeling have been presented and applied. This review provides a summary of the tasks that require information on waste generation that are most frequently handled in waste management. It is hypothesized that there is not currently a modeling approach universally suitable for forecasting any fraction of waste. It is also hypothesized that most models do not allow for modeling different scenarios of future development. Almost 360 publications were examined in detail, and all of the tracked attributes are included in the supplementary. A general step-by-step guide to waste generation forecasting, comprising data preparation, pre-processing, processing, and post-processing, was proposed. The problems that occurred in the individual steps were specified, and the authors’ recommendations for their solution were provided. A forecasting approach based on a short time series is presented, due to insufficient options of approaches for this problem. An approach is presented for creating projections of waste generation depending on the expected system changes. Researchers and stakeholders can use this document as a supporting material when deciding on a suitable approach to waste generation modeling or waste management plans.
- Institute of Process Engineering China (People's Republic of)
- Tomas Bata University in Zlín Czech Republic
- Technofiber (Czechia) Czech Republic
- Chinese Academy of Sciences China (People's Republic of)
- Czech Academy of Sciences Czech Republic
short time series, Environmental effects of industries and plants, projection, TJ807-830, waste prediction and forecasting, TD194-195, Renewable energy sources, Environmental sciences, waste generation modeling, waste production, GE1-350
short time series, Environmental effects of industries and plants, projection, TJ807-830, waste prediction and forecasting, TD194-195, Renewable energy sources, Environmental sciences, waste generation modeling, waste production, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).8 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
