| Application of Artificial Neural Network in the Research of the Bohai Bay Eutrophication |
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| 作者姓名： | 吴卿 赵新华 赵全 |
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| 作者单位： | School of Environmental Science and Technology Tianjin University，School of Environmental Science and Technology，Tianjin University，School of Environmental Science and Technology，Tianjin University，Tianjin 300072，China，Tianjin 300072，China，Tianjin 300072，China |
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| 基金项目： | 天津科学项目;国家基础研究项目 |
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| 摘 要： | In order to research the feasibility of artificial neural network (ANN) in the research of eutrophication of the Bohai Bay in China, an ANN model simulating chlorophyll a, b and c concentrations, concerning temperature, dissolved oxygen, salinity, pH value, chemical oxygen demand (COD), PO43-, NO2-and NO3-factors in the Bohai Bay was presented and validated. After experiencing and training by Matlab, the model′s validation mean square error (MSE) performance is 0.009 985 02. R-squared between estimated and observed concentrations of chlorophyll a, b and c are 0.965 7, 0.998 7 and 0.970 7 respectively, indicating that the estimated value agrees with the observed value well, and the model can be used in the prediction of eutrophication of the Bohai Sea. In order to study the influence of model input factors on chlorophyll concentration (i.e. model outputs), hypothetical scenarios were introduced to show model output responses to variations in input factors. The limitation of temperature, salinity and phosphate that induce red tide in the Bohai Bay was also presented.
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| 关 键 词： | 人工神经网络 海水水质 富营养化 渤海湾 |
Application of Artificial Neural Network in the Research of the Bohai Bay Eutrophication |
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| WU Qing,ZHAO Xinhua,ZHAO Quan.Application of Artificial Neural Network in the Research of the Bohai Bay Eutrophication[J].Transactions of Tianjin University,2007,13(6):437-440. |
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| Authors: | WU Qing ZHAO Xinhua ZHAO Quan |
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| Institution: | School of Environmental Science and Technology, Tianjin University, Tianjin 300072, China |
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| Abstract: | In order to research the feasibility of artificial neural network (ANN) in the research of eutrophication of the Bohai Bay in China, an ANN model simulating chlorophyll a, b and c concentrations, concerning temperature, dissolved oxygen, salinity, pH value, chemical oxygen demand(COD), PO43- , NO2- and NO3- factors in the Bohai Bay was presented and validated. After experiencing and training by Matlab, the model's validation mean square error (MSE) performance is0.009 985 02. R-squared between estimated and observed concentrations of chlorophyll a, b and care 0.965 7, 0.998 7 and 0.970 7 respectively, indicating that the estimated value agrees with the observed value well, and the model can be used in the prediction of eutrophication of the Bohai Sea. In order to study the influence of model input factors on chlorophyll concentration (I. E. Model outputs), hypothetical scenarios were introduced to show model output responses to variations in in-put factors. The limitation of temperature, salinity and phosphate that induce red tide in the Bohai Bay was also presented. |
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| Keywords: | artificial neural network seawater quality eutrophication |
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