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首页> 外文期刊>ANCOLD Bulletin >IMPORTANCE OF STREAMFLOW MONITORING FOR DAM SAFETY AND WATER SUPPLY SECURITY
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IMPORTANCE OF STREAMFLOW MONITORING FOR DAM SAFETY AND WATER SUPPLY SECURITY

机译:流量监测对大坝安全和供水安全的重要性

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Scientists advocate more hydrological monitoring but in most regions publicly funded monitoring is in steady decline. The lack of measured data at dam sites means there are many designs for new dams and remedial work that are insufficiently supported by factual information. Unfortunately data -free modelling exercises will usually produce favourable results -fvourable to the modeller's purposes, but not necessarily favourable to the determination of physical reality or truth. In these days of the popularity of modelling it is common to find decisions being made based on model studies for which little or no local data were available for model calibration or verification. How can the 'large dam' fraternity encourage (ensure) more data use? Causes of lack of data are many. For example governments fund data collection but others need the data, and data collection is a long-term activity that produces few benefits in the short term. Some years ago it was shown that hydrological data collection and archiving provided benefits to the community of at least nine times the costs of the data. The real costs of comprehensive data collection are not large but examples will be given of the huge costs, mainly due to the need to allow for uncertainty, that result from unavailability of data. Those who understand this problem need to explain it to their communities, politicians and CEOs in a clear, unmistakeably persuasive manner, and to demand an increase in data collection. If we do not, no one else will.
机译:科学家主张进行更多的水文监测,但是在大多数地区,由公共资助的监测工作正在逐步减少。大坝现场缺乏可测量的数据,这意味着许多新的大坝设计和补救工作都缺乏事实信息的支持。不幸的是,无数据建模练习通常会产生有利于建模者目的的有益结果,但不一定有利于确定物理现实或真相。在如今建模流行的今天,通常会根据基于模型研究的决策来查找决策,这些决策很少或没有本地数据可用于模型校准或验证。 “大坝”兄弟会如何鼓励(确保)更多的数据使用?缺乏数据的原因很多。例如,政府为数据收集提供资金,而其他国家则需要数据,而数据收集是一项长期活动,短期内几乎没有收益。几年前,事实证明,水文数据的收集和归档给社区带来了至少九倍于数据成本的收益。全面数据收集的实际成本并不大,但是将举例说明巨大的成本,这主要是由于需要考虑到因数据不可用而导致的不确定性。那些了解此问题的人需要以清晰,毫无误导的方式向其社区,政界人士和首席执行官进行解释,并要求增加数据收集。如果我们不这样做,没有其他人会这样做。

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