基于BMA多模型组合的疏勒河径流预测研究
周婷, 温小虎, 冯起, 尹振良, 杨林山

Study on runoff prediction of Shule River based on BMA multi-model combination
Ting ZHOU, Xiaohu WEN, Qi FENG, Zhenliang YIN, Linshan YANG
表7 BMA 95%在3个不同流量等级的统计结果
Table 7 Statistical results of BMA 95% confidence interval at three different traffic levels
时间/d径流等级训练期测试期
CR/%B/(m3·s-1D/(m3·s-1CR/%B/(m3·s-1D/(m3·s-1
t+1高水60.0151.2123.8945.5150.9832.87
中水97.4249.635.0698.6251.325.32
低水10040.725.6410041.035.98
t+3高水65.0391.0543.0157.6190.6658.84
中水95.6378.4514.3297.6683.5211.64
低水10061.6215.6110061.3415.99
t+5高水57.1498.6855.4347.53110.5271.56
中水95.0392.3419.7297.4297.3215.78
低水10072.6720.4310072.5921.23
t+7高水61.86113.8757.6943.52114.3278.49
中水74.3294.3221.5597.65104.8918.56
低水10073.0120.8110074.6821.83