遇见数据集

Modeling Herbicides Movement in Railway Embankments in Germany

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Mendeley Data2026-04-09 收录
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The input dataset for the groundwater contamination modeling project is structured to capture spatial, temporal, and chemical variability across five railway embankment sites in Germany: Burgdorf, Krefeld, Ingolstadt, Oftersheim, Weinböhla and a reference site (control with a homogeneous layer). Each site includes multiple simulation scenarios to reflect different herbicide application strategies and environmental conditions. The “site_12m” configuration represents full embankment-wide pesticide application, while “site_6m” simulates application limited to the upper 6 meters of the embankment. Temporal dynamics are incorporated through the “site_6y” setup, which spans six years of simulation time (2018–2024) to capture seasonal variation and long-term trends. For each site and scenario, selectors define the properties of four herbicidal compounds: glyphosate, its metabolite AMPA, flumioxazin, and flazasulfuron. These selectors include compound-specific parameters such as sorption coefficients, degradation rates, and mobility characteristics.

本数据集为地下水污染建模项目的输入数据集,旨在捕获德国5处铁路路堤站点(布尔格多夫、克雷费尔德、因戈尔施塔特、奥夫特沙伊姆、魏因伯拉)及1处带有均质层的对照参考站点的空间、时间与化学变异性。各站点均包含多组模拟情景,用以反映不同除草剂施用策略与环境条件。其中"site_12m"配置代表全路堤范围的农药施用方案,"site_6m"则模拟仅局限于路堤上部6米范围内的施用场景。时间动态维度通过"site_6y"设置实现,该情景涵盖6年模拟时长(2018—2024),以捕捉季节波动与长期演变趋势。针对每个站点与情景,均通过选择器定义4种除草剂化合物的属性:草甘膦、其代谢产物AMPA、氟烯草酸以及氟磺隆。此类选择器包含化合物专属参数,如吸附系数、降解速率与迁移特性。

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