首页> 外文期刊>Acta Hydrochimica et Hydrobiologica. (Text in English) >A Basic Water Quality Model for the River Neckar:Part 1 -model development,parameter sensitivity and identifiability,calibration and validation
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A Basic Water Quality Model for the River Neckar:Part 1 -model development,parameter sensitivity and identifiability,calibration and validation

机译:内卡河的基本水质模型:第1部分-模型开发,参数敏感性和可识别性,校准和验证

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摘要

In order to simulate and forecast dissolved oxygen (DO) in the central part of River Neckar,we developed a Basic Water Quality Model (BWQM).The present paper gives a comprehensive description of model development,model structure along with the governing equations,sensitivity and identifiability analyses as well as calibration and validation.The development of BWQM was guided by two major restrictions:it has to account for all relevant processes affecting DO,and it should only be based on readily available data and system knowledge.These restrictions led to a model,calculating nine state variables,including DO,phytoplankton,nutrients,and biochemical oxygen demand.However,due to limited data,the representation of phytoplankton is quite simple.A local sensitivity analysis led to a subset of five parameters,which are much more sensitive than the 22 other parameters.These five parameters are all closely connected with phytoplankton dynamics,highlighting the importance of phytoplankton for the DO budget.On the basis of an a priori identifiability analysis,four out of the five most sensitive parameters were chosen for model calibration.The calibrated model performed well in simulating DO and phytoplankton.Given the data availability and the present state of system knowledge,BWQM comes close to representing the optimal model with respect to predicting DO and phytoplankton.
机译:为了模拟和预测内卡河中部地区的溶解氧(DO),我们开发了基本水质模型(BWQM)。本文对模型开发,模型结构以及控制方程式,敏感性进行了全面描述。 BWQM的开发受到两个主要限制的指导:必须考虑到影响DO的所有相关过程,并且应该仅基于随时可用的数据和系统知识。该模型可以计算9个状态变量,包括DO,浮游植物,养分和生化需氧量。但是,由于数据有限,浮游植物的表示非常简单。局部敏感性分析导致5个参数的子集非常多比其他22个参数更敏感。这五个参数都与浮游植物动力学紧密相关,突出了浮游植物对t的重要性。在DO预算中。在先验可识别性分析的基础上,从5个最敏感的参数中选择了4个用于模型标定。标定的模型在模拟DO和浮游植物方面表现良好。鉴于数据的可用性和系统知识的现状,BWQM在预测DO和浮游植物方面已接近代表最佳模型。

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