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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
03.08.2023
Verantwortlich:
Einsiedl, Florian; Rein, Arno
Autorinnen / Autoren:
Imig, Anne; Augustin, Lea; Groh, Jannis; Pütz, Thomas; Zhou, Tiantian; 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;
University of California Riverside, US
Herausgeber:
TUM
Titel:
Fate of herbicides in cropped lysimeters: 1. Influence of different processes and model structure on vadose zone flow
Identifikator:
doi:10.14459/2023mp1707420
Enddatum der Datenerzeugung:
01.04.2023
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: 1. Influence of different processes and model structure on vadose zone flow” published in the Vadose Zone Journal. The dataset includes simulations, models and Python scripts for simulating unsaturated flow and stable water isotope transport in the two studied lysimeters.
Links:

This dataset relates to the publication: https://doi.org/10.1002/vzj2.20265

Schlagworte:
Python, HYDRUS-1D, simulation, soil water, vadose zone, unsaturated flow, lysimeter
Technische Hinweise:
View and download (21 MB total, 179 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1707420):
rsync rsync://m1707420@dataserv.ub.tum.de/m1707420/
Sprache:
en
Rechte:
by-nc-sa, http://creativecommons.org/licenses/by-nc-sa/4.0
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