神经网络模型在河道水温计算中的应用  

Application of Artificial Neural Network Model to Water Temperature Calculation

作　　者：代荣霞 李兰[2] 王万[3] 林剑青 

机构地区：[1]广东省中山市水利水电勘测设计咨询有限公司,广东中山528403 [2]水资源与水电工程科学国家重点实验室武汉大学,武汉430072 [3]安徽省水利水电勘测设计院,合肥230022

出　　处：《中国农村水利水电》2009年第3期50-52,共3页China Rural Water and Hydropower

摘　　要：水利工程的兴建会改变天然河道的水温状况,而工程地址处的天然水温是准确评价水温的变化的基础。以金沙江上游流域为背景,建立了三层人工神经网络模型用于水温预测并对模型进行了模拟和验证,结果表明模型结构、参数率定是合理的,用于预测无水温资料地区的天然水温是实际可行的。Building of hydropower projects will change water temperature and then bring a series of effects on ecology and environment. And the natural water temperature in reservoirs is essential to assess the change of water temperature accurately. This paper is an attempt to use the upstream Jinsha River as its background, establish a three-layer artificial neural network model and simulate natural water temperature. Result show that the structure of the model is rational and effective and that this model is practical and feasible to forecast natural water temperature of areas without water temperature data.

关 键 词：神经网络模型 金沙江流域 水温计算 

分 类 号：TV697.2[水利工程—水利水电工程]