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基于自由搜索的水库入库含沙量预测模型 被引量:6

Prediction Model of Reservoir Inflow Sediment Concentration Based on Free Search
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摘要 水库泥沙淤积问题直接关系到水库的规模、寿命以及综合经济效益的发挥。入库水流含沙量是影响水库调度运行以及水库泥沙淤积的主要因素,目前国内结构简单、实用性较强的含沙量预测模型不多。以水库的入库站流量及上游站至入库站的区间流量为研究对象,提出了基于两个水文站流量的水库入库含沙量的预测模型,采用改进的自由搜索算法率定模型参数,并将模型应用于龚嘴水库的入库含沙量的预测。研究结果表明,构建的模型结构简单,参数率定便捷,预测含沙量的精度较高,为水库入库含沙量预测提供了一种简便适用的方法。 The reservoir sedimentation problem is directly related to the size, life, and performance of the comprehensive economic efficiency of the reservoir. The inflow sediment concentration is the main influencing factor for the operation of reservoir regulation and reservoir sedimentation. However, the sediment concentration prediction models are rare which have a simple structure and strong applicability. Based on the flow rate at the inflow- station and the flow rate between the upstream station and inflow station, a prediction model of reservoir inflow sediment concentration was presented. The model parameters were calibrated using the improved Free Search and the model was applied to predict the sediment concentration in the Gongzui reservoir. The results showed that the model structure is simple, the calibration of model parameters is convenient, and the simulation accuracy is high. Therefore, this model provides a simple and practical method for the forecast of the reservoir sediment concentration.
出处 《南水北调与水利科技》 CAS CSCD 北大核心 2012年第3期40-43,72,共5页 South-to-North Water Transfers and Water Science & Technology
关键词 水库 泥沙淤积 入库含沙量 预测模型 自由搜索 改进算法 reservoir sedimentation inflow sediment concentration prediction model free search improved algorithm
作者简介 张袁(1984-),女,黑龙江双城人,硕士研究生,主要从事农业水土工程研究。E-mail:zhangyuan120422@163.com
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