湘潭站

湘潭站湘潭站
  1. 然后对枯水径流做了频率分析,最后用支持向量机、投影寻踪回归、BP神经网络建立模型,对湘潭站最小7日平均流量作了预报。

    Then has made the frequency analysis to the low flow , finally using support vector machine , the projection pursuit regression , the BP neural network to build model , to forecast the 7 daily average current runoff of Xiangtan station .

  2. 如果长沙站水位降到25米、株洲站水位降到27.5米、湘潭站水位降到26.63米,三个城市城镇居民的生活以及工业生产用水都将受到极为严重的影响;

    If the water level drops to25 meters in Changsha , 27.5 meters in Zhuzhou and26.63 meters in Xiangtan , the drought will strongly affect people 's living in the three cities .