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APPLICATION OF FUZZY THEORY FOR HYDRAULICS AND HYDROLOGY

模糊理论在水力学和水文学中的应用

基本信息

批准号：
04660257
负责人：
SHIKASHO Shiomo
金额：
$ 1.15万
依托单位：
KYUSHU UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1992
资助国家：
日本
起止时间：
1992 至 1993
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-04660257/
关键词：
Fuzzy Inference Facilities Control Fuzzy Linear Regression Analysis Neural Networks Numerical Experiments Parameter Identification Runoff Analysis Water Quality Analysis ファジイ推論ニューロ排水解析

项目摘要

In runoff analysis of low-lying drainage basin, there are many problems, such as the prediction of hydrograph and the effective control of the drainage facilities. Therefore, we tried to establish these hydraulic and hydrological problems introducing Fuzzy Theory.The results are summarized as follows :(1).The Fuzzy Linear Regression Analysis (fuzzy LRA) was applied to identification of runoff model parameters. From the results, it can be concluded that the fuzzy LRA is an efficient and practical method as well as the other methods in the past, and that the merit of this formulation is to be able to obtain easily parameters by soiving the linear programming problem and to add another constraint conditions which might be obtained from expert knowledge of parameters.(2).For the case of drainage facilities operation, we applied the method of 2 step fuzzy inference to the model drainage basin. It was concluded, from the simulations, that the operation of drainage facilities using fuzzy control theory is a practical method of the water management in low-lying basin.(3).It has been important to develop the effective numerical methods to analyze flow through nonprismatic channel sections. At present from hydraulic and numerical experiments, we are studying for the computer codes served as convinient tools for these flow analyzes.(4).Analyzes of river discharge and water quality are difficult to solve exactly by conventional methods of the mathematical programming. Then, we tried on application of a multilayred neural network to these problems. We confirmed effectiveness of the neural networks through several computational experiments.

在低洼流域径流分析中，存在着水文过程线的预测和排水设施的有效控制等问题。因此，本文尝试将模糊理论引入到这些水文问题的建模中，取得了如下成果：（1）将模糊线性回归分析（Fuzzy Linear Regression Analysis，简称Fuzzy LRA）应用于径流模型参数的辨识。结果表明，模糊LRA方法与以往的方法一样，是一种有效而实用的方法，其优点是可以通过求解线性规划问题而容易地得到参数，并增加了另一个约束条件，这些约束条件可以从专家的参数知识中获得。（2）对于排水设施的运行情况，本文将二步模糊推理方法应用于模型流域。模拟结果表明，采用模糊控制理论进行排水设施调度是一种切实可行的低洼流域水管理方法。（3）发展有效的数值计算方法来分析变截面流道的流动是十分重要的。目前，我们正从水力学和数值试验两方面着手，研究可作为这些流动分析工具的计算机程序。（4）河流流量和水质分析，用常规的数学规划方法难以精确求解。然后，我们尝试应用多层神经网络来解决这些问题。我们通过几个计算实验证实了神经网络的有效性。