№ files_lp_4_process_1_53290
A research publication presenting a workflow and Python package for processing, filtering, and completing high-frequency wastewater influent datasets to create reproducible model inputs.
Year: 2013
Location: Eindhoven, The Netherlands
Subject: Wastewater treatment, data analysis
Document type: Research article / software description
Institution: Ghent University, Waterschap De Dommel, Delft University of Technology
Authors: C. De Mulder, T. Flameling, J. Langeveld, Y. Amerlinck, S. Weijers, I. Nopens
Target audience: Researchers and practitioners in wastewater modelling
Software: Python package for data reconciliation and analysis
Data source: Online high-frequency influent data from WWTP
Methodology: Data filtering, interpolation, model-based gap filling
Implementation: Jupyter Notebook environment
Availability: To be published on GitHub
Price: 8 / 10 USD
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