Assessment of the adequacy of the regional relationships between catchment attributes and catchment response dynamics, calibrated by a multi‐objective approach
Assessment of the adequacy of the regional relationships between catchment attributes and catchment response dynamics, calibrated by a multi‐objective approach
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DOI：
10.1002/hyp.9942
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发表时间：
2014-06
影响因子：
3.2
通讯作者：
H. Kim;S. Lee
中科院分区：
文献类型：
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作者：
H. Kim;S. Lee
本研究旨在评估基于简约模型结构和多目标校准技术相结合的区域化方法的有效性。本研究使用了韩国的 12 个测量集水区。简约的模型结构需要最少的输入数据，以避免模型复杂性、过度参数化和数据要求带来的不利影响。应用 IHACRES 降雨径流模型来表征韩国流域的动态响应特征。采用多目标方法，通过增加从可用数据中检索的信息量，减少降雨径流模型校准所产生的预测不确定性。模型参数和流域属性之间的区域关系（或模型）是通过多元回归方法建立的，结合了线性和对数尺度的相关分析和逐步回归。通过与单目标方法获得的影响进行比较，评估了通过多目标方法校准的参数对区域关系充分性的影响。尽管可用数据有限，但区域关系已明确界定。流域面积、有效土层深度、平均流域坡度和流域梯度似乎是描述研究区域水文响应特征的主要因素。基于多目标方法的区域模型的整体模型性能良好，同时为高流量和低流量以及总体水平衡产生了合理的结果。基于单目标方法的区域模型在高流量时产生了准确的预测，但对低流量和总体水平衡的预测能力有限。这是由于使用单目标测量时的最佳模型参数估计。单目标方法校准的参数降低了区域模型的可预测性。版权所有 © 2013 约翰·威利父子有限公司
This study aimed to evaluate the effectiveness of the regionalization method on the basis of a combination of a parsimonious model structure and a multi‐objective calibration technique. For this study, 12 gauged catchments in the Republic of Korea were used. The parsimonious model structure, requiring minimal input data, was used to avoid adverse effects arising from model complexity, over‐parameterization and data requirements. The IHACRES rainfall‐runoff model was applied to represent the dynamic response characteristics of catchments in Korea. A multi‐objective approach was adopted to reduce the predictive uncertainty arising from the calibration of a rainfall‐runoff model, by increasing the amount of information retrieved from the available data. The regional relationships (or models) between the model parameters and the catchment attributes were established via a multiple regression approach, incorporating correlation analysis and stepwise regression on linear and logarithmic scales. The impacts of the parameters, calibrated by the multi‐objective approach, on the adequacy of regional relationships were assessed by comparison with impacts obtained by the single‐objective approach. The regional relationships were well defined, despite limited available data. The drainage area, the effective soil depth, the mean catchment slope and the catchment gradient appeared to be the main factors for describing the hydrologic response characteristics in the areas studied. The overall model performance of the regional models based on the multi‐objective approach was good, producing reasonable results for high and low flows and for the overall water balance, simultaneously. The regional models based on the single‐objective approach yielded accurate predictions in high flows but showed limited predictive capability for low flows and the overall water balance. This was due to the optimal model parameter estimates when using a single‐objective measure. The parameters calibrated by the single‐objective approach decreased the predictability of the regional models. Copyright © 2013 John Wiley & Sons, Ltd.