Equation to Predict Riverine Transport of Suddenly Discharged Pollutants
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VIEW THE REPLYPublication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 11
Abstract
Pollution discharge to rivers is the leading cause of freshwater pollution. This paper presents a method for predicting the concentrations of a pollutant that is suddenly released into a river. The prediction method is based on a first-order Gaussian function. The coefficients of the Gaussian function are calculated using three power equations. These equations have six parameters whose values are optimized with the genetic algorithm (GA). The results of this paper’s case study are compared with those obtained with the artificial neural network method (ANN), genetic programming (GP), and from the analytical solution of the differential equation for riverine transport of suddenly released pollutants. The proposed equation is applied in a case study that confirms its suitability for estimating the concentration of pollutants downstream from a sudden release location in a river. The correlation coefficient () and the root mean square error (RMSE) of the training and testing data obtained from the application of the proposed equation increase and decrease approximately 14 and 50%, respectively, in comparison with the values associated with the application of the analytical advection-dispersion to calculate the transport of sudden pollution in rivers.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 11 • November 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jan 27, 2016
Accepted: Apr 13, 2016
Published online: Jun 22, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 22, 2016
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