Parameter identification and global sensitivity analysis of Xin'anjiang model using meta-modeling approach
文献类型：EI期刊论文
| 作者 | Zhan Che-Sheng |
| 发表日期 | 2013 |
| 关键词 | Sensitivity analysis Calibration Climate models Hydrology Identification (control systems) Surface properties Uncertainty analysis |
| 英文摘要 | Parameter identification, model calibration, and uncertainty quantification are important steps in the model-building process, and are necessary for obtaining credible results and valuable information. Sensitivity analysis of hydrological model is a key step in model uncertainty quantification, which can identify the dominant parameters, reduce the model calibration uncertainty, and enhance the model optimization efficiency. There are, however, some shortcomings in classical approaches, including the long duration of time and high computation cost required to quantitatively assess the sensitivity of a multiple-parameter hydrological model. For this reason, a two-step statistical evaluation framework using global techniques is presented. It is based on (1) a screening method (Morris) for qualitative ranking of parameters, and (2) a variance-based method integrated with a meta-model for quantitative sensitivity analysis, i.e., the Sobol method integrated with the response surface model (RSMSobol). First, the Morris screening method was used to qualitatively identify the parameters' sensitivity, and then ten parameters were selected to quantify the sensitivity indices. Subsequently, the RSMSobol method was used to quantify the sensitivity, i.e., the first-order and total sensitivity indices based on the response surface model (RSM) were calculated. The RSMSobol method can not only quantify the sensitivity, but also reduce the computational cost, with good accuracy compared to the classical approaches. This approach will be effective and reliable in the global sensitivity analysis of a complex large-scale distributed hydrological model. Copyright 2013 Editorial Office of Water Science and Engineering. |
| 出处 | Water Science and Engineering
 |
| 卷 | 6期:1页:1-17 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31193]  |
| 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. Parameter identification and global sensitivity analysis of Xin'anjiang model using meta-modeling approach. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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