Quality evaluation and its application to surface water ecosystem based on maximum flux principle |
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| Authors: | LIU Nianlei MAO Guozhu ZHAO Lin |
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| Institution: | LIU Nianlei,MAO Guozhu,ZHAO Lin(School of Environmental Science and Engineering,Tianjin University,Tianjin 300072,China) |
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| Abstract: | Based on the maximum flux principle (MFP), a water quality evaluation model for surface water ecosystem is presented by using
self-organization map (SOM) neural network simulation algorithm from the aspect of systematic structural evolution. This evaluation
model is applied to the case of surface water ecosystem in Xindu District of Chengdu City in China. The values reflecting
the water quality of five cross-sections of the system at different developing stages are obtained, with stable values of
1.438, 2.952, 1.869, 2.443 and 2.479, respectively. The simulation also indicates that the larger the value, the more serious
the water pollution. Furthermore, a classification graph is given to reflect the evolution of structural pattern. The combination
of MFP and SOM neural network reveals the formation of different structural patterns in the system during the interaction
of internal components. It is shown that a dominant pattern is finally reserved, which starts from a variety of combination
patterns for a time period. The results agree with those from traditional evaluation methods, which indicates that the proposed
model has high accuracy. This model embodies the evolutionary dynamic mechanisms and characteristics of temporal and spatial
changes, which helps to guide the prediction of water quality status of surface water ecosystem. |
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| Keywords: | evaluation model maximum flux principle surface water ecosystem self-organization map |
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