Optimal experimental design for decision-making with dynamic water quality models

利用动态水质模型进行决策的优化实验设计

• 批准号: 327591-2011
• 负责人: Vanrolleghem, Peter
• 金额: $ 2.48万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=527024
• 关键词: Optimal; experimental; design; decision; making

Dynamic models increasingly become key ingredients of decision-making in water infrastructure planning and receiving water management. It is generally accepted that within the three preparatory steps of a modelling exercise, (i) definition of the objective, (ii) structuring of prior knowledge and (iii) analysis of available data, most modelling issues are raised due to limitations in quantity and quality of the available data. It is therefore surprising to have to conclude from the current state-of-practice that relatively little research effort is conducted to provide methodological support to collect good quality data within the constraints imposed by available resources (time, funding, people, equipment, etc.).

动态模型日益成为水基础设施规划和受水管理决策的关键因素。人们普遍认为，在建模工作的三个准备步骤中，（一）确定目标，（二）构建现有知识，（三）分析现有数据，大多数建模问题是由于现有数据的数量和质量有限而提出的。因此，令人惊讶的是，从目前的实践状况得出的结论是，在现有资源（时间、资金、人员、设备等）的限制范围内，为收集高质量数据提供方法支持的研究工作相对较少。