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首页> 外文期刊>Freshwater Biology >Effects of changes in the driving forces on water quality and plankton dynamics in three Swiss lakes - long-term simulations with BELAMO
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Effects of changes in the driving forces on water quality and plankton dynamics in three Swiss lakes - long-term simulations with BELAMO

机译:驱动力变化对三个瑞士湖泊水质和浮游生物动力学的影响-BELAMO的长期模拟

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With a modified version of the lake model BELAMO, we were able to describe the essential features of the dynamics of nutrients, dissolved oxygen, phyto- and zooplankton in three lakes of different trophic status over periods of 19-30 years, with essentially the same model parameters for all three lakes. This is remarkable, as the measured nutrient inputs decreased considerably during the simulated time period. Despite having done this before for a period of 4 years with an earlier version of the model, a considerable effort was required that led to a series of model modifications without which the data could not be matched. This demonstrates that long-term calibration of a model that combines processes in the water column with mineralisation in the sediment can be difficult. Due to the necessarily simplified processes within the model, there is a bias in its output. We applied a recently developed technique for model calibration and uncertainty analysis to address bias and multiple calibration criteria. To account for the demanding long-term simulations, a simplified numerical implementation of this technique was used. Our results demonstrate good understanding of the chemical state of the lake during the calibration period but less of the biological variables. The credibility intervals used to visualise this knowledge widen substantially during the prediction period (consisting of the last 10 years of the simulation). The joint calibration of the model with long-term data from lakes of different trophic status is possible but only with considerable prediction uncertainty. Due to the explicit consideration of bias in our calibration technique, we are able to estimate quantitatively the uncertainty of our knowledge about chemical and biological variables in the lake.Digital Object Identifier http://dx.doi.org/10.1111/fwb.12031
机译:利用BELAMO湖泊模型的修改版,我们能够描述在19-30年间营养状态不同的三个湖泊中养分,溶解氧,浮游植物和浮游动物动力学的基本特征,基本相同三个湖泊的模型参数。这一点很显着,因为在模拟的时间段内测得的营养输入量大大减少了。尽管使用该模型的早期版本已经进行了4年,但是仍然需要大量的精力来进行一系列的模型修改,否则就无法对数据进行匹配。这表明,很难对将水柱中的过程与沉积物中的矿化相结合的模型进行长期校准。由于模型中的流程必须简化,因此其输出存在偏差。我们将最新开发的技术应用于模型校准和不确定性分析,以解决偏差和多种校准标准。为了解决苛刻的长期仿真问题,使用了此技术的简化数值实现。我们的结果表明,在校准期间对湖泊的化学状态有很好的了解,但对生物变量的了解却较少。用于可视化此知识的可信度间隔在预测期间(由模拟的最后10年组成)显着扩大。利用来自不同营养状态湖泊的长期数据对模型进行联合标定是可能的,但只有相当大的预测不确定性。由于我们在校准技术中明确考虑了偏差,因此我们能够定量地估算关于湖泊化学和生物变量知识的不确定性。数字对象标识符http://dx.doi.org/10.1111/fwb.12031

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