Supplemental Material to "Evaluation of Decentralized, Closely-Spaced Precipitation Water and Treated Waste Water Infiltration" in Journal "Water": Precipitation water and treated wastewater infiltration

datacite.FundingReference.funderName
datacite.FundingReference.funderName

Europäische Union

Contributing person
datacite.contributor.ProjectLeader

Liedl, Rudolf

Contributing person
datacite.contributor.ProjectManager

Graeber, Peter-Wolfgang

Documentation of the data
datacite.description.TechnicalInfo

Data Processing: Data of selected observation points and flux lines as generated by Hydrus 2D/3D has been processed and visualized using a Python script. Data Acquisition: Numerical modeling, data preparation, processing, assessment and visualization.

Description of the data
datacite.resourceType

scripts for model result data preparation, processing and assessment

Type of the data
datacite.resourceTypeGeneral

Software

Type of the data
datacite.resourceTypeGeneral

Other

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

177670860

Author
dc.contributor.author

Händel, Falk

Author
dc.contributor.author

Engelmann, Christian

Upload date
dc.date.accessioned

2018-09-26T08:21:58Z

Upload date
dc.date.accessioned

2026-05-13T11:31:16Z

Publication date
dc.date.available

2018-09-26T08:21:58Z

Publication date
dc.date.available

2026-05-13T11:31:16Z

Data of data creation
dc.date.created

2018

Publication date
dc.date.issued

2018-09-26

Abstract of the dataset
dc.description.abstract

Data includes water contents and concentrations of selected observation points as well as cumulated mass fluxes at selected flux lines generated by different Hydrus 2D/3D numerical models. Location of observation points and flux lines as well as numerical model properties can be accessed from article: Evaluation of Decentralized, Closely-Spaced Precipitation Water and Treated Waste Water Infiltration by Händel et al. as submitted to Journal "Water" in 2018. These data has been used in the Python script for data preparation, processing, assessment and visualization.

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2289

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-15

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-15

Publisher
dc.publisher

Technische Universität Dresden

Licence
dc.rights

Attribution 4.0 International

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by/4.0/

Specification of the discipline(s)
dc.subject.classification

3

Title of the dataset
dc.title

Supplemental Material to "Evaluation of Decentralized, Closely-Spaced Precipitation Water and Treated Waste Water Infiltration" in Journal "Water": Precipitation water and treated wastewater infiltration

Underlying research object
opara.descriptionObject.Other

Precipitation water and treated wastewater infiltration.

Underlying research object
opara.descriptionObject.Substance

Conservative tracer

Software
opara.descriptionSoftware.ResourceProcessing

Python (Version v3.x)

Software
opara.descriptionSoftware.ResourceProduction

Hydrus 2D/3D (Version v2.xx)

Project abstract
opara.project.description

Ziel des Projektes ist die Erforschung und Entwicklung eines ganzheitlichen Systems zur Errichtung und Betriebsführung von Gruppenkleinkläranlage mit kombinierter Versickerung des gereinigten Abwassers und anfallenden Regenwassers. Die Bemessung der Versickerung soll unter Berücksichtigung der standortspezifisch gegebenen hydrogeologischen und ökologischen Rahmenbedingungen erfolgen.

Project title
opara.project.title

Ganzheitliches System zur Errichtung von Gruppenkleinkläranlagen mit integrierter Regenwasserversickerung (GKKA), Teilprojekt: IGW (GKKA)

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Python_based_visualization.zip
Size:
169.44 MB
Format:
Description:
Attribution 4.0 International