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Parameter Precision in the HBV-NP Model and Impacts on Nitrogen Scenario Simulations in the Ronnea River, Southern Sweden

机译:HBV-NP模型中的参数精度及其对瑞典南部罗纳河的氮情景模拟的影响

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摘要

The HBV-NP model is a newly developed water quality model that describes the turnover and fluxes of both nitrogen and phosphorous. It is based on the conceptual precipitation/runoff HBV model. The HBV-NP model was applied for simulation of nitrogen for the Ronnea catchment in southern Sweden. The catchment was divided into 64 subcatchments in the model. Discharge measurements from six stations and nitrogen measurements from 12 stations were used in the calibration of parameters in the model. Eight automatic calibrations were performed with different combinations of time periods, objective functions, and levels of the nitrogen load in the model. A regionally extended interpretation of the Nash-Sutcliffe R~2 criterion was used in the calibration. In the evaluation of the criterion, the errors were summed over both time steps and sampling points. Scenario simulations of combined measures for reduction of nitrogen load into the sea by 30 percent were thereafter performed with the eight sets of parameters established by calibration. The model parameters were not uniquely defined by the calibration. However, the simulated relative reduction of nitrogen load into the sea was relatively insensitive to the choice of parameter set, given the available input sources, variables, and data.
机译:HBV-NP模型是一种新开发的水质模型,用于描述氮和磷的周转率和通量。它基于概念性降水/径流HBV模型。 HBV-NP模型被用于模拟瑞典南部Ronnea流域的氮。在模型中,流域被划分为64个子流域。模型中参数的校准使用了六个站点的排放测量值和十二个站点的氮测量值。使用时间段,目标函数和模型中氮负荷水平的不同组合执行了八次自动校准。校准中使用了对Nash-Sutcliffe R〜2准则的区域扩展解释。在评估标准时,在时间步长和采样点上对误差求和。此后,通过校准建立的八组参数,进行了将海中氮负荷减少30%的联合措施的方案模拟。模型参数不是由校准唯一定义的。然而,在给定可用输入源,变量和数据的情况下,模拟的相对减少的入海氮负荷对参数集的选择相对不敏感。

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