首页> 外文会议>International Conference on Computational Science - ICCS 2003 Pt.3 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia >Recast of the Outputs of a Deterministic Model to Get a Better Estimate of Water Quality for Decision Makings
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Recast of the Outputs of a Deterministic Model to Get a Better Estimate of Water Quality for Decision Makings

机译:重铸确定性模型的输出,以便更好地估算水质以进行决策

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The outputs of a deterministic water quality model are retreated to recast the model simulation. A multi-variance regression method is used for daily model outputs versus observed data to assess the systematic errors in model simulation of individual model cell. The model outputs are re-adjusted to better represent the actual values, and to yield a better model calibration. Such a recast is important to model application for water quality analysis, especially for TMDL (Total Maximum Daily Load) which requires accurate simulation to exam criteria attainment. This paper addresses the recast method, its prerequisites, and how the results are extended for the scenarios with various load reductions.
机译:对确定性水质模型的输出进行后处理以重铸模型仿真。对于每天的模型输出与观察到的数据,使用多方差回归方法来评估单个模型单元的模型仿真中的系统误差。重新调整模型输出以更好地表示实际值,并产生更好的模型校准。这样的重铸对于模型化水质分析的应用程序非常重要,尤其是对于TMDL(总最大日负荷)而言,TMDL需要精确模拟以达到检查标准。本文介绍了重铸方法,其先决条件以及如何针对具有各种负载减少的方案扩展结果。

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