Sensitivity analysis of hydrological model parameters using a statistical theory approach
文献类型：EI期刊论文
| 作者 | Zhan Che-Sheng |
| 发表日期 | 2012 |
| 关键词 | Sensitivity analysis Surface properties Uncertainty analysis |
| 英文摘要 | The sensitivity analysis is a key step in model uncertainty quantification. And it can identify the dominant parameters, reduce the model uncertainty, and enhance the model optimization efficiency. In order to make quantitative global sensitivity analysis (GSA) more tractable, the Morris screening method is used to qualitatively assess a model first. Then, the response surface methodology (RSM) based on the statistical theory will be applied to construct a surrogate model, and to integrate with the variance-based Sobol' method to establishing a new method, named as the RSMSobol method. The new method is tested on the Yanduhe basin using the Xin'anjiang model with daily precipitation data and hydrographs. The sensitivity analysis is conducted for four different objective functions. The results demonstrate that the new integrated qualitative and quantitative method can improve the efficiency of the sensitivity analysis, in which the Morris qualitative method can decrease the number of parameters by 50% for the next round of the quantitative analysis. The RSMSobol method can improve the computational cost. |
| 出处 | Shuikexue Jinzhan/Advances in Water Science
 |
| 卷 | 23期:5页:642-649 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/27674]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zhan Che-Sheng. Sensitivity analysis of hydrological model parameters using a statistical theory approach. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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