Predicting Transient Storage Model Parameters of Rivers by Genetic Algorithm
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- 作者：Rajeev Ranjan Sahay (1) rajeev_sahay@yahoo.com
- 关键词：Dead storage – ; Parameter estimation – ; Pollutant transport – ; Rivers – ; Transient storage
- 刊名：Water Resources Management
- 出版年：2012
- 出版时间：October 2012
- 年：2012
- 卷：26
- 期：13
- 页码：3667-3685
- 全文大小：443.9 KB
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- ISSN：1573-1650
文摘
The presence of transient storage zone modifies the riverine pollutant transport. In the present work, new empirical expressions for three key parameters of transient storage model (TSM), an important method for predicting concentration variation of pollutants in rivers, have been derived employing genetic algorithm on published hydraulic data on river reaches and TSM parameters. The proposed expressions use few hydraulic and geometric characteristics of rivers that are usually available. Based on various performance indices, it can be concluded that the proposed expressions predict TSM parameters more reliably in comparison to the other empirical expressions for predicting TSM parameters.