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Poseidon 2.0 - Decision Support Tool for Water Reuse (Microsoft Excel) and Handbook

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Zenodo2020-04-17 更新2026-04-07 收录
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Poseidon 2.0 is a user-oriented, simple and fast Excel-Tool which aims to compare different wastewater treatment techniques based on their pollutant removal efficiencies, their costs and additional assessment criteria. Poseidon can be applied for pre-feasibility studies in order to assess possible water reuse options and can show decision makers and other stakeholders that implementable solutions are available to comply with local requirements. This upload consists in: Poseidon 2.0 Excel File that can be used with Microsoft Excel - XLSM Handbook presenting main features of the decision support tool - PDF This dataset is linked to following additional open access resources: : Oertlé E, Hugi C, Wintgens T, Karavitis C, Oertlé E, Hugi C, Wintgens T, Karavitis CA. 2019. <strong>Poseidon—Decision Support Tool for Water Reuse</strong>. Water. 11(1):153. doi:10.3390/w11010153. [accessed 2019 Jan 22]. http://www.mdpi.com/2073-4441/11/1/153 . Externally hosted supplementary file 1, Oertlé, Emmanuel. (2018, December 5). <strong>Poseidon - Decision Support Tool for Water Reuse (Microsoft Excel) and Handbook (Version 1.1.1)</strong>. Zenodo. http://doi.org/10.5281/zenodo.3341573 Externally hosted supplementary file 2, Oertlé, Emmanuel. (2018). <strong>Wastewater Treatment Unit Processes Datasets: Pollutant removal efficiencies, evaluation criteria and cost estimations (Version 1.0.0)</strong> [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1247434 Externally hosted supplementary file 3, Oertlé, Emmanuel. (2018). <strong>Treatment Trains for Water Reclamation (Dataset) (Version 1.0.0)</strong> [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1972627 Externally hosted supplementary file 4, Oertlé, Emmanuel. (2018). <strong>Water Quality Classes - Recommended Water Quality Based on Guideline and Typical Wastewater Qualities (Version 1.0.2)</strong> [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3341570

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2020-04-17
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