A Basic Water Quality Model for the River Neckar: Part 1 – model development, parameter sensitivity and identifiability, calibration and validation

I. Haag
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引用次数: 11

Abstract

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.
内卡河基本水质模型:第1部分-模型开发、参数敏感性和可辨识性、校准和验证
为了对内卡河中部溶解氧(DO)进行模拟和预报,建立了基本水质模型(BWQM)。本文对模型的发展、模型结构、控制方程、灵敏度和可辨识性分析以及校准和验证进行了全面的描述。BWQM的开发受到两个主要限制的指导:它必须考虑到影响DO的所有相关过程,并且它应该只基于现成的数据和系统知识。这些限制导致了一个模型,计算了9个状态变量,包括溶解氧、浮游植物、营养物质和生化需氧量。然而,由于资料有限,浮游植物的表征相当简单。局部敏感性分析得出5个参数的子集,它们比其他22个参数敏感得多。这五个参数都与浮游植物动力学密切相关,突出了浮游植物对DO预算的重要性。在先验辨识度分析的基础上,选取5个最敏感参数中的4个进行模型标定。校正后的模型在模拟溶解氧和浮游植物方面表现良好。考虑到数据的可用性和系统知识的现状,BWQM在预测DO和浮游植物方面接近于代表最优模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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