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Artificial neural network modeling of dissolved oxygen in reservoir

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Abstract

The water quality of reservoirs is one of the key factors in the operation and water quality management of reservoirs. Dissolved oxygen (DO) in water column is essential for microorganisms and a significant indicator of the state of aquatic ecosystems. In this study, two artificial neural network (ANN) models including back propagation neural network (BPNN) and adaptive neural-based fuzzy inference system (ANFIS) approaches and multilinear regression (MLR) model were developed to estimate the DO concentration in the Feitsui Reservoir of northern Taiwan. The input variables of the neural network are determined as water temperature, pH, conductivity, turbidity, suspended solids, total hardness, total alkalinity, and ammonium nitrogen. The performance of the ANN models and MLR model was assessed through the mean absolute error, root mean square error, and correlation coefficient computed from the measured and model-simulated DO values. The results reveal that ANN estimation performances were superior to those of MLR. Comparing to the BPNN and ANFIS models through the performance criteria, the ANFIS model is better than the BPNN model for predicting the DO values. Study results show that the neural network particularly using ANFIS model is able to predict the DO concentrations with reasonable accuracy, suggesting that the neural network is a valuable tool for reservoir management in Taiwan.

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Acknowledgments

The project under which this study was conducted is supported by the National Science Council, Taiwan, under grant no. NSC 100-2625-M-239-001. The authors would like to express their appreciation to the Feitsui Reservoir Administration Bureau for providing the observational data.

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Authors and Affiliations

  1. National Science and Technology Center for Disaster Reduction, New Taipei City, 23143, Taiwan

    Wei-Bo Chen

  2. Department of Civil and Disaster Prevention Engineering, National United University, Miaoli, 36003, Taiwan

    Wen-Cheng Liu

  3. Taiwan Typhoon and Flood Research Institute, National Applied Research Institute, Taipei, 10093, Taiwan

    Wen-Cheng Liu

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  1. Wei-Bo Chen
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  2. Wen-Cheng Liu
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Correspondence to Wen-Cheng Liu.

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Chen, WB., Liu, WC. Artificial neural network modeling of dissolved oxygen in reservoir. Environ Monit Assess 186, 1203–1217 (2014). https://doi.org/10.1007/s10661-013-3450-6

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  • DOI: https://doi.org/10.1007/s10661-013-3450-6

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