摘要
由于江河流域的月平均流量变化与月尺度的短期气候变化密切相关,因此作为一种尝试,将月尺度短期气候变化的逐月滚动预测模型直接用于江河流域的月平均流量预测。文中从短期气候变化的逐月滚动预测模型出发,建立了天生桥一级水电站月平均入库流量的一种逐月滚动预测模型,并用该模型对天生桥一级水电站2004年1月以后的月平均入库流量进行预测,取得了较为满意的效果。
Since the monthly average flow (MAF) of river basin is related to the monthly short-term climate change, as a try, the monthly rolling forecast (MRF) model for short-term climate change is directly applied to the river basin MAF forecasts. Starting from MRF model of short-term climate change, an MRF model for month average inflow of Tianshengqiao Hydropower Station is established. MAF and water storage in Tianshingqiao Hydropower Station after January 2004 are forecasted with this model, which achieved satisfactory results.
出处
《水电自动化与大坝监测》
2012年第1期74-77,共4页
HYDROPOWER AUTOMATION AND DAM MONITORING
关键词
水电站
月平均流量
逐月滚动预测
多时间序列
数学模型
hydropower stations
monthly average flow (MAF)
monthly rolling forecast (MRF)
multiple time series
math model