Spatially distributed modelling of pesticide leaching at European scale with the PyCatch modelling framework
Spatially distributed modelling of pesticide leaching at European scale with the PyCatch modelling framework
复制标题
使用 PyCatch 建模框架对欧洲规模的农药浸出进行空间分布式建模
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
B. Jene
中科院分区：
文献类型：
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作者：
O. Schmitz;M. Perk;D. Karssenberg;Tim Häring;B. Jene
建立农药在土壤中的运移模型并估计其渗入地下水的情况，对于进行适当的环境风险评估至关重要。监管过程中常用的农药淋滤模型往往缺乏提供全面空间视图的能力，因为它们是作为非空间点模型实施的，或者只使用几种有代表性的土壤组合来模拟特定的地块。此外，它们对空间输入和输出数据的处理以及与现有地理信息系统工具的交互是有限的。因此，在国家或大陆尺度上以高分辨率模拟和评估潜在浸出的几个场景是相当低效的，并且禁止直接识别容易浸出的区域。
The modelling of pesticide transport through the soil and estimating its leaching to groundwater is essential for an appropriate environmental risk assessment. Pesticide leaching models commonly used in regulatory processes often lack the capability of providing a comprehensive spatial view, as they are implemented as non-spatial point models or only use a few combinations of representative soils to simulate specific plots. Furthermore, their handling of spatial input and output data and interaction with available Geographical Information Systems tools is limited. Therefore, executing several scenarios simulating and assessing the potential leaching on national or continental scale at high resolution is rather inefficient and prohibits the straightforward identification of areas prone to leaching.