Code underlying the publication: Simulating event based pesticide transport with runoff and erosion, OpenLISEM-pesticide v.1

doi:10.4121/1838022f-05ee-4243-b599-097a777cde1c.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1838022f-05ee-4243-b599-097a777cde1c
Datacite citation style:
Commelin, Meindert; Wesseling, Jan; Jetten, Victor; Jantiene Baartman (2024): Code underlying the publication: Simulating event based pesticide transport with runoff and erosion, OpenLISEM-pesticide v.1. Version 3. 4TU.ResearchData. software. https://doi.org/10.4121/1838022f-05ee-4243-b599-097a777cde1c.v3
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Software
choose version:
version 3 - 2024-01-30 (latest)
version 2 - 2023-11-03 version 1 - 2023-06-19

This repository contains the code and secondary data used to initialize and calibrate OpenLISEM-pesticide v1. The related article presents a novel pesticide transport model extension for the OpenLISEM runoff and erosion model. During water erosion events, high amounts of pesticides can be transported alongside the runoff. Simulating this process helps to mitigate adverse effects of pesticides in the environment. We conceptualized pesticide uptake during runoff with a mixing-layer, including mass transfer of dissolved pesticides into the runoff water and detachment in combination with enrichment of sorbed pesticides. Lateral transport of pesticides is modelled with a kinematic wave based on the overland flow of water. The model simulations were in line with observations for two events in a small agricultural catchment in South-Limburg, the Netherlands. A sensitivity analysis showed that pesticide transport was mainly influenced by the mass transfer rate, the soil-water partitioning and the exponent for the enrichment ratio. The accurate simulation of runoff and erosion by OpenLISEM, enables OLP to simulate transport and redistribution adequately.

history
  • 2023-06-19 first online
  • 2024-01-30 published, posted
publisher
4TU.ResearchData
organizations
Soil Physics and Land Management group, Wageningen University

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/844929e6-2c90-458f-980f-a7089a063486.git

Or download the latest commit as a ZIP.

files (2)