期刊
JOURNAL OF HYDROLOGY
卷 335, 期 1-2, 页码 15-24出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2006.10.031
关键词
ice cover; artificial neural networks; lake; growth; storage
The immobilization of water in the form of deposited ice on the reservoir's embankments during winter operations has received little attention in hydrological literature. In Nordic countries like Canada, this phenomenon is likely to have significant negative impacts on reservoir operation. In a previous work (Seidou, O., Ouarda, T.B.M.J., Bilodeau, L., Hessami, M., St-Hilaire, A., Bruneau, P., 2006. Modeling ice growth on Canadian takes using artificial neural metworks. Water Resources Research 42. doi: doi:10.1029/2005WR004622); the authors developed a global artificial neural network model to predict ice thickness growth in unmonitored Canadian takes and reservoirs. This model is used in this paper to compute a time series of ice thickness on the Gouin reservoir (Saint-Maurice River, Quebec, Canada) and the Outardes 4 reservoir (Aux Outardes River, Quebec, Canada). This and the relationship between surface water area and water level were then used to evaluate the volume of ice left on the banks of the two reservoirs during winter operation, as its water level is progressively Lowered in order to release water for hydroelectric production at downstream power dams. Results show that the ratio of frozen water left on the banks to the active storage varies from 2% to 8% at the Gouin reservoir, and from 0.41% to 1.15% at the Outardes 4 reservoir depending on the water usage policy and the geometry of the reservoir. (c) 2006 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据