气候变化领域集成服务门户(CCPortal): Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters

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DOI	10.1002/hyp.11053
	Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters
	Ding, Jie; Haberlandt, Uwe
通讯作者	Ding, J (通讯作者)
发表日期	2017
ISSN	0885-6087
EISSN	1099-1085
起始页码	612
结束页码	626
卷号	31 期号:3
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.
关键词	HYDROLOGICAL MODEL FREQUENCY-ANALYSIS UNGAUGED CATCHMENTS WATERSHED MODEL RIVER-BASIN RUNOFF PREDICTIONS CALIBRATION RAINFALL UNCERTAINTY
英文关键词	hydrological modeling; instantaneous peak flow (IPF); maximum mean daily flow (MDF); regionalization
语种	英语
WOS研究方向	Water Resources
WOS类目	Water Resources
WOS记录号	WOS:000393558900009
来源期刊	HYDROLOGICAL PROCESSES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258896
推荐引用方式 GB/T 7714	Ding, Jie,Haberlandt, Uwe. Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters[J]. 中国科学院青藏高原研究所,2017,31(3).
APA	Ding, Jie,&Haberlandt, Uwe.(2017).Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters.HYDROLOGICAL PROCESSES,31(3).
MLA	Ding, Jie,et al."Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters".HYDROLOGICAL PROCESSES 31.3(2017).