Forecasting leachate generation from pilot woodchip stockpiles using a three-dimensional transient flow model
| Autor: | Uta Krogmann, Matthew T. Amato, Robert Miskewitz, Peter F. Strom, Sarat Kannepalli, Daniel Giménez |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
0208 environmental biotechnology Flow (psychology) Bayes Theorem Soil science 02 engineering and technology General Medicine Numerical models Stormwater management 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Refuse Disposal 020801 environmental engineering Markov chain monte carlo algorithm Transient flow Environmental science Recycling Woodchips Leachate Pile Waste Management and Disposal Ecosystem 0105 earth and related environmental sciences |
| Zdroj: | Journal of Environmental Management. 262:110379 |
| ISSN: | 0301-4797 |
| DOI: | 10.1016/j.jenvman.2020.110379 |
| Popis: | Leachate generation from open stockpiles of recycled woodchip materials is potentially harmful to aquatic ecosystems. There is growing interest in using numerical models to simulate leachate generation from outdoor piles, but this requires information about the hydraulic properties of the materials. The objectives of this study were to simulate leachate from woodchip piles with the numerical model HYDRUS-3D and to optimize subsets of parameters for single (SPM) and dual (DPM) pore flow models with the Bayesian Markov Chain Monte Carlo algorithm DREAMZS. Three experimental piles, each approximately 30 m3, were setup with mixtures of either once (coarse) or twice (fine) ground woodchips. Leachate continuously collected over a period of six months was similar across piles. As a result, subsets of optimized flow parameters for the coarse and fine woodchips were not different. Leachate predictions by the two pore flow models were similar and agreed reasonably with the field measurements, as indicated by Nash-Sutcliffe efficiency values greater than 0.6. This result suggests the simpler SPM is adequate for field predictions of leachate. However, leachate was consistently under-predicted by both pore models by 13–27% during rainfall events with more than 1 cm in 6 h. The optimized flow models can be used as a tool for studying pile management strategies. |
| Databáze: | OpenAIRE |
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