2) actual flood forecast
洪水过程预报
1.
This article introduced the method of artificial neural network,and build a model of three level feed toward back propagation neural network to simulate actual flood forecast in Qili street hydrometric station of the Minjiang river valley.
采用人工神经网络方法，建立福建省闽江建溪流域七里街水文站实时洪水过程预报的３ 层前馈反向传播神经网络模型， 经检验预测精度为８３。
5) stage forecasting
水位预报
1.
Dynamic model for stage forecasting of confined water cones;
承压水漏斗水位预报的动态模型
2.
Stage routing model and stage forecasting method,based on ARMAV(2,1) model with time series analysis,is derived using the optimal control theory.
将单一河道洪水演算系统视为单输入—单输出系统，基于时间序列分析中的ＡＲＭＡＶ（２，１）模型，应用时间序列分析最优控制理论建立了水位演算模型和水位预报方法。
3.
Nonlinear analysis of stage forecasting in lower reaches of Yellow River;
结合黄河下游冲淤型河段两个水文站的实测水沙资料,用非线性分析等方法,找出影响河道水位的主要非线性影响因素,在水位拟合模型的基础上,得出水位预报模型,实现水位过程的非线性预报。
6) water level forecast
水位预报
1.
Application of AR(p) model in water level forecast in dry season of Ganjiang River;
AR(p)模型在赣江枯季水位预报中的应用
2.
Research on Water Level Forecasting Model in Downstream of Changjiang River;
长江下游河段水位预报模型研究
补充资料：短期天气预报(见天气预报和天气图预报)
短期天气预报(见天气预报和天气图预报)
u。。，，，:‘，anq，yubao短期天气预报见关匀布绍升，二，二一一
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条