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Modeling of Nitrogen in River Water Using a Detailed and a Simplified Model

机译:使用详细简化模型对河水中氮进行建模

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摘要

To model catchment surface water quantity and quality, different model types are available. They vary from detailed physically based models to simplified conceptual and empirical models. The most appropriate model type for a certain application depends on the project objectives and the data availability. The detailed models are very useful for short-term simulations of representative events. They cannot be used for long-term statistical information or as a management tool. For those purposes, more simplified (conceptual or meta-) models must be used. In this study, nitrogen dynamics are modeled in a river in Flanders. Nitrogen sources from agricultural leaching and domestic point sources are considered. Based on this input, concentrations of ammonium (NH4-N) and nitrate (NO3-N) in the river water are modeled in MIKE 11 by taking into consideration advection and dispersion and the most important biological and chemical processes. Model calibration was done on the basis of available measured water quality data. To this detailed model, a more simplified model was calibrated with the objective to more easily yield long-term simulation results that can be used in a statistical analysis. The results show that the conceptual simplified model is 1800 times faster than the MIKE 11 model. Moreover the two models have almost the same accuracy. The detailed models are recommended for short-term simulations unless there are enough data for model input and model parameters. The conceptual simplified model is recommended for long-term simulations.
机译:为了对流域地表水的数量和质量进行建模,可以使用不同的模型类型。从详细的基于物理的模型到简化的概念和经验模型,它们都不同。特定应用程序最合适的模型类型取决于项目目标和数据可用性。详细的模型对于代表事件的短期模拟非常有用。它们不能用于长期统计信息或用作管理工具。为此,必须使用更简化的(概念或元)模型。在这项研究中,模拟了富兰德斯河中的氮动力学。考虑了来自农业浸出的氮源和家庭点源。基于此输入,在MIKE 11中通过考虑对流和弥散以及最重要的生物和化学过程对河流水中的铵(NH4-N)和硝酸盐(NO3-N)浓度进行建模。根据可用的测量水质数据进行模型校准。对于此详细模型,已校准了更为简化的模型,目的是更轻松地产生可用于统计分析的长期仿真结果。结果表明,概念简化模型比MIKE 11模型快1800倍。而且,两个模型的精度几乎相同。除非有足够的数据用于模型输入和模型参数,否则建议将详细模型用于短期仿真。建议将概念简化模型用于长期仿真。

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