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Title:

Fate of herbicides in cropped lysimeters: 1. Influence of different processes and model structure on vadose zone flow

Document type:
Forschungsdaten
Publication date:
03.08.2023
Responsible:
Einsiedl, Florian; Rein, Arno
Authors:
Imig, Anne; Augustin, Lea; Groh, Jannis; Pütz, Thomas; Zhou, Tiantian; Einsiedl, Florian; Rein, Arno
Author affiliation:
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
Publisher:
TUM
Identifier:
doi:10.14459/2023mp1707420
End date of data production:
01.04.2023
Subject area:
GEO Geowissenschaften; LAN Landbauwissenschaft; MAT Mathematik; NAT Naturwissenschaften (allgemein); PHY Physik; TEC Technik, Ingenieurwissenschaften (allgemein); UMW Umweltwissenschaften
Other subject areas:
Hydrogeology
Resource type:
Simulationen / simulations
Data type:
mehrdimensionale Visualisierungen oder Modelle / models; Texte / texts
Other data type:
Python scripts, HYDRUS-1D model files
Description:
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.
Method of data assessment:
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.
Links:

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

Key words:
Python, HYDRUS-1D, simulation, soil water, vadose zone, unsaturated flow, lysimeter
Technical remarks:
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/
Language:
en
Rights:
by-nc-sa, http://creativecommons.org/licenses/by-nc-sa/4.0
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