Predicting Critical Period to Characterise Over-Year and Within-Year Reservoir Systems
Predicting Critical Period to Characterise Over-Year and Within-Year Reservoir Systems
复制标题
预测表征年内和年内储层系统的关键时期
DOI：
10.1023/a:1008185304170
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发表时间：
1999
影响因子：
4.3
通讯作者：
M. Montaseri
中科院分区：
文献类型：
--
作者：
A. Adeloye;M. Montaseri
根据临界期的长短，地表水库可分为年内水库和年内水库。一般来说，年内系统是指那些在一年内会多次重新填充和溢出的系统，而年内系统的临界期要长得多，通常为数年。如果一个储层的临界期的持续时间以及其精确的行为模式是先验已知的，那么就可以利用这一点来选择储层分析所需的详细程度。例如，如果水库系统是纯跨年的，即CP比12个月长得多，那么分析只需要年径流数据。相反，如果系统需要年内和跨年的双重特性，则需要分辨率更高的时间序列数据，以捕捉需求和流入量之间的季节性和年度差异。这种考虑往往导致分析时间大大超过年度数据所需的时间。最后，如果系统是纯年内的，那么分析工作可以通过集中在记录中的关键或最干旱的年份来显着减少。在本文中，我们研究的属性测试在当前使用区分年内和跨年的行为。特别地，我们研究了测试的参数是如何与CP相关的，并且认为知道CP是一个更完整的测试。然后，我们建立预测方程的CP和我们提供的建议，扩大研究。
Surface water reservoirs can beclassified as either within-year or over-year based onthe duration of their critical period (CP). Ingeneral, within-year systems are those which willrefill and spill several times in a year, whereasover-year systems have much longer critical periods,usually of the order of years. If the duration of thecritical period, and hence the precise mode ofbehaviour, of a reservoir were to be known apriori, then advantage could be taken of this toselect the level of detail required for reservoiranalysis. For example, if the reservoir system ispurely over-year, i.e. the CP is much longer than 12months, then only annual streamflow data are requiredfor analysis. On the contrary, systems which exhibitdual within-year and over-year behaviours will requiretime series data of a finer resolution to capture boththe seasonal and annual discrepancies between thedemand and inflow. Such a consideration often resultsin a phenomenal increase in the analysis time overthat required for annual data. Finally, if the systemis purely within-year, then the analysis effort can besignificantly reduced by concentrating on the criticalor driest year of the record. In this paper, weexamine the properties of the test in current use fordistinguishing between within-year and over-yearbehaviours. In particular we investigate how theparameter of the test is related to the CP, and weargue that knowing the CP is a more complete test. Wethen develop predictive equations for the CP and weoffer suggestions for extending the study.