NDLI: Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

Content Provider	Springer Nature Link
Author	Wen, Xiaohu Fang, Jing Diao, Meina Zhang, Chuanqi
Copyright Year	2012
Abstract	Identification and quantification of dissolved oxygen (DO) profiles of river is one of the primary concerns for water resources managers. In this research, an artificial neural network (ANN) was developed to simulate the DO concentrations in the Heihe River, Northwestern China. A three-layer back-propagation ANN was used with the Bayesian regularization training algorithm. The input variables of the neural network were pH, electrical conductivity, chloride (Cl−), calcium (Ca2+), total alkalinity, total hardness, nitrate nitrogen (NO3-N), and ammonical nitrogen (NH4-N). The ANN structure with 14 hidden neurons obtained the best selection. By making comparison between the results of the ANN model and the measured data on the basis of correlation coefficient (r) and root mean square error (RMSE), a good model-fitting DO values indicated the effectiveness of neural network model. It is found that the coefficient of correlation (r) values for the training, validation, and test sets were 0.9654, 0.9841, and 0.9680, respectively, and the respective values of RMSE for the training, validation, and test sets were 0.4272, 0.3667, and 0.4570, respectively. Sensitivity analysis was used to determine the influence of input variables on the dependent variable. The most effective inputs were determined as pH, NO3-N, NH4-N, and Ca2+. Cl− was found to be least effective variables on the proposed model. The identified ANN model can be used to simulate the water quality parameters.
Starting Page	4361
Ending Page	4371
Page Count	11
File Format	PDF
ISSN	01676369
Journal	Environmental Monitoring and Assessment
Volume Number	185
Issue Number	5
e-ISSN	15732959
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-09-22
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Artificial neural network Dissolved oxygen Modeling Heihe River Environmental Monitoring/Analysis Environmental Management Ecotoxicology Atmospheric Protection/Air Quality Control/Air Pollution Ecology
Content Type	Text
Resource Type	Article
Subject	Pollution Medicine Management, Monitoring, Policy and Law

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