基于BMA多模型组合的疏勒河径流预测研究
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周婷, 温小虎, 冯起, 尹振良, 杨林山
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Study on runoff prediction of Shule River based on BMA multi-model combination
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Ting ZHOU, Xiaohu WEN, Qi FENG, Zhenliang YIN, Linshan YANG
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表7 BMA 95%在3个不同流量等级的统计结果
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Table 7 Statistical results of BMA 95% confidence interval at three different traffic levels
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时间/d | 径流等级 | 训练期 | 测试期 |
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CR/% | B/(m3·s-1) | D/(m3·s-1) | CR/% | B/(m3·s-1) | D/(m3·s-1) |
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t+1 | 高水 | 60.01 | 51.21 | 23.89 | 45.51 | 50.98 | 32.87 | 中水 | 97.42 | 49.63 | 5.06 | 98.62 | 51.32 | 5.32 | 低水 | 100 | 40.72 | 5.64 | 100 | 41.03 | 5.98 | t+3 | 高水 | 65.03 | 91.05 | 43.01 | 57.61 | 90.66 | 58.84 | 中水 | 95.63 | 78.45 | 14.32 | 97.66 | 83.52 | 11.64 | 低水 | 100 | 61.62 | 15.61 | 100 | 61.34 | 15.99 | t+5 | 高水 | 57.14 | 98.68 | 55.43 | 47.53 | 110.52 | 71.56 | 中水 | 95.03 | 92.34 | 19.72 | 97.42 | 97.32 | 15.78 | 低水 | 100 | 72.67 | 20.43 | 100 | 72.59 | 21.23 | t+7 | 高水 | 61.86 | 113.87 | 57.69 | 43.52 | 114.32 | 78.49 | 中水 | 74.32 | 94.32 | 21.55 | 97.65 | 104.89 | 18.56 | 低水 | 100 | 73.01 | 20.81 | 100 | 74.68 | 21.83 |
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