(SGER) A Novel Approach for Calibration of Hydrologic Models Using Multiobjectives and Visualization Techniques

(SGER) 使用多目标和可视化技术校准水文模型的新方法

• 批准号: 9415437
• 负责人: Soroosh Sorooshian
• 金额: $ 2.6万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-01 至 1995-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9415437&HistoricalAwards=false
• 关键词: SGER; Novel; Approach; Calibration; Hydrologic

9415437 Sorooshian The classical approach to model calibration has been taken as far as it can go. Currently available calibration strategies are poorly suited to the task of calibrating conceptual hydrologic models in general and are woefully inadequate in the face of the emerging generation of distributed parameter hydrologic models. An entirely new conceptual paradigm is necessary for further progress to be made. The work will explore the use of multi-objective procedures for the objective identification of the non-dominated model set, and graphical visualization techniques to facilitate the subjective procedure inherent in choosing a reduced model set. The exploratory research will lead to the preparation and submission to NSF, within 9 months of a full scale proposal addressing the problem of calibrating semi-distributed and distributed hydrologic models within the framework of the new paradigm.

小行星9415437 模型校准的经典方法已经尽其所能。 目前可用的校准策略不适合一般的校准概念水文模型的任务，是可悲的不足，在面对新一代的分布参数水文模型。 要取得进一步的进展，就必须有一个全新的概念模式。 该工作将探索多目标的使用 程序的非支配模型集的客观识别，和图形可视化技术，以促进主观过程中固有的选择一个减少的模型集。 探索性研究将导致准备和提交给NSF，在9个月内提出一个全面的建议，解决在新范式框架内校准半分布式和分布式水文模型的问题。