Chapter 5 introduces the forecasting effect of the long term runoff forecasting model.
第四章具体介绍了预测模型的数据库设计与实现。
So, new theory and methods are being urgently needed for the study on the rainfall-runoff forecasting.
因此,降雨径流的研究迫切需要引入新的理论和方法。
Secondly, it is demonstrated that the principle of SVM and its application prospect in runoff forecasting.
其次论证了支持向量基(SVM)在径流预报中的应用可能性,提出了该方法的应用前景。
The time span of middle-term optimization model equal foreseeable period of runoff forecasting (3 to 7 days), and the optimization period is one day.
中期模型优化的时间跨度等于中期入库径流预报的预见期(3-7天),优化时段为一天。
This article presents the principle of ANN briefly in the application of flood forecast and an improved network algorithm of rainfall runoff forecasting.
简要介绍了人工神经网络用于洪水预报的基本原理,对降雨径流预报的网络模型进行了改进。
Based on the recognition of hydrological drought and the runoff forecasting during the drought period, a forecasting model of hydrological drought is established.
通过水文干旱识别和枯水期径流量预估,建立了供水系统水文干旱的预测模型。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题,常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
又小波网络较神经网络有更多的优点,通过比较,证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
Natural runoff variety and current forecasting researches are very useful for terrestrial water cycling and water balance research and water resources management.
河川天然径流量变化与趋势预测研究对陆地水循环与水量平衡研究和水资源利用等均有重要意义。
This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.
采用湖南洛塔地区屋檐洞地下河系统降水—径流资料训练BP人工神经网络,建立了该系统的径流预测模型。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
将偏最小二乘回归与神经网络耦合,建立了径流量预报模型。
In view of the above mentioned facts, it is very important to develop flood forecasting and waterlogging harnessing. while rainfall-runoff calculation is the kernel to solve these problems.
因此开展洪涝预报和渍害治理至为重要,而降雨径流计算是其首要解决的问题。
It is shown by example that this is a new and effective method for runoff production forecasting in drainage basins.
实例表明这是流域产流预报的一种有效的新方法。
This method has achieved great success in Fengshuba basin, and raised the qualified rate of forecasting runoff yield from 85.1% of antecedent scheme to 91.7% and overcame…
该法应用于广东枫树坝流域,使产流预报方案的合格率从原来的85.1%提高到91.7%,并克服了原方案在汛初和久旱后预报洪水的产流量远远偏大的问题。
The combined use of above method and the metabolic fractal interpolation forecasting model provides new idea and new method for improving the runoff prediction precision.
并将该方法与新陈代谢分形插值预测模型结合使用,为有效提高径流预测精度提供了新思路和新方法。
The combined use of above method and the metabolic fractal interpolation forecasting model provides new idea and new method for improving the runoff prediction precision.
并将该方法与新陈代谢分形插值预测模型结合使用,为有效提高径流预测精度提供了新思路和新方法。
应用推荐