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| DOI：10.13522/j.cnki.ggps.20180177 |
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| Equifinality of the Nash Model Parameters Using Idealized and Measured Data |
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XING Zhenxiang, WANG Xin, GONG Xinglong, FU Qiang, DONG Hongtao
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1. School of Water Conservancy and Architecture, Northeast Agricultural University, Harbin 150030, China;2. Key Laboratory of Water-saving Agriculture of Regular Institutions of Higher Education, Harbin 150030, China
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| Abstract: |
| 【Objective】 The purpose of this work is to study the influence of equifinality phenomenon on accuracy of the Nash model parameter calibration. 【Method】 The Nash model parameters were calculated by the simulation-optimization model based on SCE-UA, using both idealized data and measured data. Taking Shuangyashan Farm and Youyi Farm in Hongxinglong Land Reclamation Administration in Heilongjiang province as an example, the performance of the equifinality phenomenon in parameter calibration was analyzed. The idealized data can eliminate the uncertainty caused by errors in the input data, model inaccuracy and model parameters in the calibration. 【Result】 Performance of the equifinality phenomenon in the Nash model parameter calibration was represented in value range and number of optimal parameters for both the idealized data and the measured data. For different flooding events, the performance of the equifinality phenomenon in terms of the two aspects was associated with the flooding volume and flooding peak for the two case studies. Specifically, the equifinality phenomenon was more noticeable with the increases in flooding volume and flooding peak. Under the same flooding event, the equifinality phenomenon was more noticeable in the parameter calibration for the idealized data than for the measured data. 【Conclusion】 In parameter calibration of hydrological model based on the equifinality phenomenon using different data sources, a proper parameter calibration method should be used to eliminate the unfavorable influence of the equifinality so as to improve accuracy of the model. |
| Key words: equifinality; SCE-UA; Nash model; ideal data; actual data |
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