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Importance of field data in stream water quality modeling using QUAL2E-UNCAS

机译:使用QUAL2E-UNCAS的现场数据在溪水水质建模中的重要性

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The Stream Water Quality Model QUAL2E-UNCAS is widely used to simulate the dissolved oxygen of streams under steady flow conditions. It is the latest version of a series of water quality models that have a long history in systems analysis in water quality management, and has been applied to a number of streams and rivers around the world. This paper summarizes the conceptual representation of the computer model, briefly reviews a number of applications of the model that have been published in open literature, describes the included uncertainty analysis capability, and discusses the importance of field data in model predictions. Experience with the QUAL2E model has proven the importance of site-specific data to model predictions. An accurate representation of the properties of the system significantly contributes to simulation success.
机译:溪流水质模型QUAL2E-UNCAS被广泛用于模拟稳定流量条件下溪流中的溶解氧。它是一系列水质模型的最新版本,这些模型在水质管理的系统分析中拥有悠久的历史,并已应用于世界各地的许多河流和河流。本文总结了计算机模型的概念表示,简要回顾了公开文献中已发表的该模型的许多应用,描述了所包含的不确定性分析能力,并讨论了现场数据在模型预测中的重要性。 QUAL2E模型的经验证明了特定于站点的数据对于模型预测的重要性。准确表示系统的属性可以极大地促进仿真的成功。

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