Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters
文献类型：期刊论文
| 作者 | Ding, J (Ding, Jie)1,2; Haberlandt, U (Haberlandt, Uwe)2; Ding, J |
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2017 |
| 卷号 | 31期号:3页码:612-626 |
| 关键词 | HYDROLOGICAL MODEL FREQUENCY-ANALYSIS UNGAUGED CATCHMENTS WATERSHED MODEL RIVER-BASIN RUNOFF PREDICTIONS CALIBRATION RAINFALL UNCERTAINTY |
| DOI | 10.1002/hyp.11053 |
| 文献子类 | Article |
| 英文摘要 | Regionalization methods have been effectively used in many hydrological studies, such as regional flood frequency analysis and low flows. However, there is no study to estimate the instantaneous peak flow (IPF) from maximum mean daily flow (MDF) using hydrological models with regionalized parameters. In this paper, the semidistributed conceptual hydrological model Hydrologiska Byrans Vattenbalansavdelning is operated on a daily time step for 18 catchments in the Aller-Leine basin, Germany. The model is calibrated on four different flow statistics, including winter/summer extremes distribution and flow duration curves. The model parameter values are predefined with the associated catchment descriptors by a transfer function. Two different regionalization schemes are investigated: one is carried out for all the catchments in the study area; the other one is only performed for several catchments within a cluster. The k-means algorithm is used to 12 different catchment characteristics from all 18 catchments as the partitional clustering algorithm. Subsequently, the general extreme value distributions are fitted to the modeled MDFs, which are then transferred into IPF quantiles using a multiple regression model. The results show that (a) the uncertainty resulted from model parameter regionalization for the estimation of IPFs is much smaller than the error when using MDFs instead of IPFs; (b) the hydrological responses of the clustered catchments located in the flat areas are, in general, not as homogeneous as the ones in high elevated regions; and (c) the model with the parameters derived from the same regionalization coefficients within a cluster performs better using the corresponding parameters estimated through all the catchments. |
| 学科主题 | 自然地理学 |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000393558900009 |
| 源URL | [http://ir.itpcas.ac.cn/handle/131C11/8398]  |
| 专题 | 青藏高原研究所_图书馆 |
| 通讯作者 | Ding, J |
| 作者单位 | 1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Plateau Environm Changes & Land S, Beijing, Peoples R China. 2.Leibniz Univ Hannover, Inst Water Resources Management Hydrol & Agr Hydr, Hannover, Germany. |
| 推荐引用方式 GB/T 7714 | Ding, J ,Haberlandt, U ,Ding, J. Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters[J]. HYDROLOGICAL PROCESSES,2017,31(3):612-626. |
| APA | Ding, J ,Haberlandt, U ,&Ding, J.(2017).Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters.HYDROLOGICAL PROCESSES,31(3),612-626. |
| MLA | Ding, J ,et al."Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters".HYDROLOGICAL PROCESSES 31.3(2017):612-626. |
入库方式： OAI收割
来源：青藏高原研究所
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