| Cite this article: | 郑震.基于GLUE方法的湖库富营养化风险评估[J].灌溉排水学报,0,():-. |
| ZHENG Zheng.基于GLUE方法的湖库富营养化风险评估[J].灌溉排水学报,0,():-. |
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| Evaluation of Lacustrine Eutrophication Model Based on GLUE |
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ZHENG Zheng
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Fuzhou Research Academy of Environmental Sciences
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| Abstract: |
| In order to accurately assess the eutrophication degree of water and the risk interval of various water quality indexes related to algae outbreak, a water eutrophication model was established based on BP neural network based on the water quality monitoring data at the monitoring point of shanzai reservoir in fujian province. Using GLUE method, the uncertainty analysis of water quality parameters related to eutrophication model was carried out, and 90% confidence interval of each parameter was statistically evaluated. The results showed that the BP neural network could predict the change of algae concentration, and the NSE and RMSE were small. Ph, DO, CODmn, TN, TP and Chl have a relatively obvious positive correlation with the risk of water bloom, SSD has a negative correlation trend, and T was not conspicuous. The high and low risk characteristics of Ph, TN, TP, Chl and SSD were conspicuous in the parameters of the interval and T and others were the opposite. The 90% confidence interval parameter evaluation range of each water quality parameter can be used as a risk assessment index. |
| Key words: GLUE; BP neural network; eutrophication; risk assessment |
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