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DOI: 10.4121/49911025-10ee-492f-973d-ca50d7a330a9

Wang, Liang; Heimovaara, Timo (2025): Data and scripts underlying the manuscript: Revealing Hidden Leachate Dynamics in a Coupled Travel-Time Landfill Model Using a Particle Filter–Markov Chain Monte Carlo Approach. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/49911025-10ee-492f-973d-ca50d7a330a9.v1

Categories

• Geochemistry
• Land and Water Management
• Environmental Engineering
• Earth Sciences
• Engineering
• Environment

Keywords

Landfill emission potential MCMC Municipal solid waste Particle filter

Licence

MIT

Interoperability

• RO-Crate Metadata

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by Liang Wang , Timo Heimovaara

Repository for manuscript: Revealing Hidden Leachate Dynamics in a Coupled Travel-Time Landfill Model Using a Particle Filter–Markov Chain Monte Carlo Approach. It includes the input and measurement data (rainfall, EV, outflow, concentration), the model scripts in folder landfillmodules, and the data assimilation scripts in folder BB11Z_noexchange.

To use the script, you need to run the code following the description in the manuscript (We use a_* to generate synthetic truth, b_* to generate initial particles, and c_* to run data assimilation experiments. The current zip file already includes all the generated model output files. You can find them in subfolders like plots and plots_real.

History

• 2025-06-02 first online, published, posted

Publisher

4TU.ResearchData

Format

.py type python scripts, .npy files that store data

Funding

• Coupled mUlti-process research for reducing landfill emissions (CURE) (grant code OCENW.GROOT.2O19.O92) [more info...] Dutch National Science Foundation (NWO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering