An opportunity loss model for estimating the value of streamflow data for reservoir planning
An opportunity loss model for estimating the value of streamflow data for reservoir planning
复制标题
用于估计水库规划水流数据价值的机会损失模型
DOI：
10.1007/bf00698811
复制
发表时间：
1996
影响因子：
4.3
通讯作者：
A. Adeloye
中科院分区：
文献类型：
--
作者：
A. Adeloye
径流数据具有经济价值，因为它们用于水资源决策。通过量化这一价值，水文学家应该会发现，克服传统的障碍，在径流数据收集方案的投资要容易得多。本文描述了一个能够实现这一目标的机会损失模型。这项研究的重点是评估为特定目的而进行的更丰富的数据记录可能产生的典型效益，并通过这种方式提供进一步的证据，证明对径流数据收集活动的投资是合理的。研究的具体目的是建立油藏容量-可靠性-产量关系。最后，有人认为，虽然这是不寻常的一个测流站是项目特定的，数据将总是用于其他目的，并通过这些产生额外的价值。考虑到这些次要的价值，应该使整个想法的投资流量数据收集更有吸引力的经济。
Streamflow data have economic value because they are used for making decisions in water resources. By quantifying this value, hydrologists should find it much easier to overcome traditional obstacles to investment in streamflow data collection programmes. In this paper, an opportunity loss model is described which enables this to be done. The study has focused on evaluating typical benefits which may arise from more abundant data records for a specific purpose and, through this, provide further evidence which justifies investment in streamflow data collection activities. The specific purpose investigated is the development of reservoir capacity-reliability-yield relationship. Finally, it is argued that, while it is not uncommon for a streamgauging station to be project-specific, the data would invariably be used for other purposes and through these generate additional values. Considerations of such secondary values should make the whole idea of investment in streamflow data collection even more attractive economically.