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Conceptual overview of forestland - a model to interpret and predict temporal and spatial patterns of radioactively contaminated forest landscapes

机译:林地概念概述-解释和预测放射性污染的森林景观的时空格局的模型

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Forested area contaminated with radioactive substances are characterized by an extremely high spatial variability of radionuclide levels.The horizontal and vertical patterns of the radioactive contamination may also show substantial changes with time,especially during the first days and months after the deposition.Furthermore,the effective ecological half-lives tend to be very long in some forest components.The contamination level of a specific forest component at a specific time and location is due to multiple factors and processes interacting in a complex way.The extrapolation of measured activity levels in space and time can,therefore,often not be done by common statistical methods or by using simple heuristic relationships.A conceivable approach to solve this prblem is to combine the capacity of Geographical Information Systems (GIS) for management and representation of large anounts of data with the generalization possibilities of dynamic ecosystem models.Here we give a conceptual overview of a forest ecosystem model (FORESTLAND) that could be used for this purpose.In particular,we present some features important for a future coupling with GIS.
机译:被放射性物质污染的林区的特征在于放射性核素水平的空间变异性极高。放射性污染物的水平和垂直分布格局也可能随时间变化,尤其是在沉积后的头几天和几个月内。在某些森林组成部分中,生态半衰期往往很长。特定森林组成部分在特定时间和地点的污染水平是由于多种因素和过程以复杂的方式相互作用而产生的。因此,通常无法通过普通的统计方法或使用简单的启发式关系来完成时间。解决此问题的一种可行方法是将地理信息系统(GIS)的管理能力与大数据量的表示方法相结合。动态生态系统模型的一般化可能性。在此我们给出一个概念可以用于此目的的森林生态系统模型(FORESTLAND)的概述。特别是,我们提出了一些对于将来与GIS结合非常重要的功能。

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