Predicting Transient Storage Model Parameters of Rivers by Genetic Algorithm
DOI: 10.1007/S11269-012-0092-3
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摘要: The presence of transient storage zone modifies the riverine pollutant transport. In present work, new empirical expressions for three key parameters model (TSM), an important method predicting concentration variation pollutants in rivers, have been derived employing genetic algorithm on published hydraulic data river reaches and TSM parameters. proposed use few geometric characteristics rivers that are usually available. Based various performance indices, it can be concluded predict more reliably comparison to other
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