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- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 08.09.2023
- Verantwortlich:
- Einsiedl, Florian; Rein, Arno
- Autorinnen / Autoren:
- Imig, Anne; Augustin, Lea; Groh, Jannis; Pütz, Thomas; Elsner, Martin; Einsiedl, Florian; Rein, Arno
- Institutionszugehörigkeit:
- Technical University of Munich;
Forschungszentrum Jülich GmbH, Germany;
Leibniz Centre for Agricultural Landscape Research (ZALF), Germany;
University of Bonn, Germany - Herausgeber:
- TUM
- Titel:
- Fate of herbicides in cropped lysimeters: 2. Leaching of four maize herbicides considering different processes
- Identifikator:
- doi:10.14459/2023mp1715150
- Enddatum der Datenerzeugung:
- 01.07.2023
- Fachgebiet:
- GEO Geowissenschaften; LAN Landbauwissenschaft; MAT Mathematik; NAT Naturwissenschaften (allgemein); PHY Physik; TEC Technik, Ingenieurwissenschaften (allgemein); UMW Umweltwissenschaften
- zusätzliche Fachgebiete:
- Hydrogeology
- Quellen der Daten:
- Simulationen / simulations
- Datentyp:
- mehrdimensionale Visualisierungen oder Modelle / models; Texte / texts
- Anderer Datentyp:
- Python scripts, HYDRUS-1D model files
- Methode der Datenerhebung:
- Simulations were done using HYDRUS-1D in combination with the parameter optimization algorithm PEST. A Python code was set up for running the models, carrying out statistical evaluation, extracting simulation results and creating figures.
- Beschreibung:
- The dataset is related to the article “Fate of herbicides in cropped lysimeters: 2. Leaching of four maize herbicides considering different processes” published in the Vadose Zone Journal. The dataset includes simulations, models and Python scripts for simulating pesticide fate and transport in the two studied lysimeters.
- Links:
This dataset relates to the publication: https://doi.org/10.1002/vzj2.20275
- Schlagworte:
- Python, HYDRUS-1D, simulation, vadose zone, lysimeter, pesticide, herbicide, transport, fate
- Technische Hinweise:
- View and download (4,66 MB total, 39 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1715150):
rsync rsync://m1715150@dataserv.ub.tum.de/m1715150/ - Sprache:
- en
- Rechte:
- by-nc-sa, http://creativecommons.org/licenses/by-nc-sa/4.0
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