How well can we model stream phosphorus concentrations in agricultural catchments?
How well can we model stream phosphorus concentrations in agricultural catchments?
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我们对农业流域中河流磷浓度的模拟效果如何？
DOI：
10.1016/j.envsoft.2014.11.002
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
A. Wade
中科院分区：
文献类型：
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作者：
L. Jackson;S. Dunn;R. Helliwell;R. Skeffington;M. Stutter;A. Wade
在弥散源占主导地位的情况下，机械流域规模的磷模型似乎表现不佳。我们调查了一个模型 INCA-P 的原因，根据苏格兰一个小流域 18 个月的每日数据测试模型输出。我们检查关键模型流程并提供模型改进和简化的建议。特别需要改进颗粒磷模拟。然后将模型评估程序概括为提供一个清单，用于确定模型性能为何不佳或不可靠的原因，并纳入校准、数据、结构和概念挑战。需要更多地认识到，根据每日数据进行评估时，当前的模型很难在农业流域中产生积极的纳什-萨克利夫统计数据。磷建模很困难，但模型并不像这暗示的那么无用。我们发现相关系数、偏差、分布比较和时间序列视觉评估的组合是识别真实模拟的更好方法。
Mechanistic catchment-scale phosphorus models appear to perform poorly where diffuse sources dominate. We investigate the reasons for this for one model, INCA-P, testing model output against 18 months of daily data in a small Scottish catchment. We examine key model processes and provide recommendations for model improvement and simplification. Improvements to the particulate phosphorus simulation are especially needed. The model evaluation procedure is then generalised to provide a checklist for identifying why model performance may be poor or unreliable, incorporating calibration, data, structural and conceptual challenges. There needs to be greater recognition that current models struggle to produce positive Nash–Sutcliffe statistics in agricultural catchments when evaluated against daily data. Phosphorus modelling is difficult, but models are not as useless as this might suggest. We found a combination of correlation coefficients, bias, a comparison of distributions and a visual assessment of time series a better means of identifying realistic simulations.
DOI：
10.1039/c3em00641g
发表时间：
2014-06
期刊：
Environmental science. Processes & impacts
影响因子：
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作者：
E. Tipping;S. Benham;J. Boyle;P. Crow;J. Davies;Uwe Fischer;H. Guyatt;R. Helliwell;L. Jackson-Bla
通讯作者：
E. Tipping;S. Benham;J. Boyle;P. Crow;J. Davies;Uwe Fischer;H. Guyatt;R. Helliwell;L. Jackson-Bla