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A simple topography-driven and calibration-free runoff generation module
Gao, Hongkai1,2,3,4; Birkel, Christian5,6; Hrachowitz, Markus7; Tetzlaff, Doerthe6,8,9; Soulsby, Chris6; Savenije, Hubert H. G.7
刊名HYDROLOGY AND EARTH SYSTEM SCIENCES
2019-02-13
卷号23期号:2页码:787-809
ISSN号1027-5606
DOI10.5194/hess-23-787-2019
通讯作者Gao, Hongkai(hkgao@geo.ecnu.edu.cn)
英文摘要Reading landscapes and developing calibration-free runoff generation models that adequately reflect land surface heterogeneities remains the focus of much hydrological research. In this study, we report a novel and simple topography-driven runoff generation parameterization - the HAND-based Storage Capacity curve (HSC), which uses a topographic index (HAND, Height Above the Nearest Drainage) to identify hydrological similarity and the extent of saturated areas in catchments. The HSC can be used as a module in any conceptual rainfall-runoff model. Further, coupling the HSC parameterization with the mass curve technique (MCT) to estimate root zone storage capacity (S-uMax), we developed a calibration-free runoff generation module, HSC-MCT. The runoff generation modules of HBV and TOPMODEL were used for comparison purposes. The performance of these two modules (HSC and HSC-MCT) was first checked against the data-rich Bruntland Burn (BB) catchment in Scotland, which has a long time series of field-mapped saturation area extent. We found that HSC, HBV and TOPMODEL all perform well to reproduce the hydrograph, but the HSC module performs better in reproducing saturated area variation, in terms of correlation coefficient and spatial pattern. The HSC and HSC-MCT modules were subsequently tested for 323 MOPEX catchments in the US, with diverse climate, soil, vegetation and geological characteristics. In comparison with HBV and TOPMODEL, the HSC performs better in both calibration and validation, particularly in the catchments with gentle topography, less forest cover, and arid climate. Despite having no calibrated parameters, the HSC-MCT module performed comparably well with calibrated modules, highlighting the robustness of the HSC parameterization to describe the spatial distribution of the root zone storage capacity and the efficiency of the MCT method to estimate S-uMax. This novel and calibration-free runoff generation module helps to improve the prediction in ungauged basins and has great potential to be generalized at the global scale.
收录类别SCI
WOS关键词ZONE STORAGE CAPACITY ; HESS-OPINIONS ; HYDROLOGICAL PROCESSES ; SPATIAL-DISTRIBUTION ; MODEL PERFORMANCE ; GROUNDWATER-FLOW ; CURVE NUMBER ; CATCHMENT ; SCALE ; RESOLUTION
WOS研究方向Geology ; Water Resources
WOS类目Geosciences, Multidisciplinary ; Water Resources
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000458517700001
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2558168
专题寒区旱区环境与工程研究所
通讯作者Gao, Hongkai
作者单位1.East China Normal Univ, Minist Educ China, Key Lab Geog Informat Sci, Shanghai, Peoples R China
2.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China
3.Arizona State Univ, Julie Ann Wrigley Global Inst Sustainabil, POB 875402, Tempe, AZ 85287 USA
4.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Gansu, Peoples R China
5.Univ Costa Rica, Dept Geog, San Jose, Costa Rica
6.Univ Aberdeen, Sch Geosci, Northern Rivers Inst, Aberdeen, Scotland
7.Delft Univ Technol, Water Resources Sect, Delft, Netherlands
8.IGB Leibniz Inst Freshwater Ecol & Inland Fisheri, Berlin, Germany
9.Humboldt Univ, Berlin, Germany
推荐引用方式
GB/T 7714
Gao, Hongkai,Birkel, Christian,Hrachowitz, Markus,et al. A simple topography-driven and calibration-free runoff generation module[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,2019,23(2):787-809.
APA Gao, Hongkai,Birkel, Christian,Hrachowitz, Markus,Tetzlaff, Doerthe,Soulsby, Chris,&Savenije, Hubert H. G..(2019).A simple topography-driven and calibration-free runoff generation module.HYDROLOGY AND EARTH SYSTEM SCIENCES,23(2),787-809.
MLA Gao, Hongkai,et al."A simple topography-driven and calibration-free runoff generation module".HYDROLOGY AND EARTH SYSTEM SCIENCES 23.2(2019):787-809.
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