Journal of Dalian Maritime University >
2020 , Vol. 46 >Issue 2: 96 - 106
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2020.02.012
Multi-parameter optimization and uncertainty analysis of distributed hydrological models
Received date: 2019-10-18
Revised date: 2019-12-28
Online published: 2019-12-28
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Though higher efficiency and wider range application of hydrologic simulation, there are still some difficulties for parameter calibration, in particular, due to the large data set of distributed hydrologic model, higher requirements are being put forward for parameter optimization and calibration technology. In this paper, an optimization method of simplex algorithm combined with Nelder Mead search algorithm was proposed, and taking Wende River Basin as a study case, the distributed hydrological model and Nelder Mead simplex method were used to examine various objective functions respectively and obtain corresponding evaluation coefficients such as NSE and RMSE. The results show that the parameters obtained by optimization have higher accuracy, and within the range of reasonable physical meaning, the NSE coefficients of four flood simulation are all above 0.9, the NSE efficiency coefficients and RMSE coefficients obtained by taking the mean square of residual error as the objective function are better than those of other objective functions. In addition, through the further verification of uncertainty analysis method, the optimization parameters and parameter calibration results have scientific reliability.
WANG Yan , DING Yong-sheng , KONG Qiao , WANG Yi-fan , CHEN Yin-ming . Multi-parameter optimization and uncertainty analysis of distributed hydrological models[J]. Journal of Dalian Maritime University, 2020 , 46(2) : 96 -106 . DOI: 10.16411/j.cnki.issn1006-7736.2020.02.012
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