globalchange  > 气候变化与战略
DOI: 10.5194/hess-23-787-2019
论文题名:
A simple topography-driven and calibration-free runoff generation module
作者: Gao H.; Birkel C.; Hrachowitz M.; Tetzlaff D.; Soulsby C.; Savenije H.H.G.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期:2
起始页码: 787
结束页码: 809
语种: 英语
Scopus关键词: Calibration ; Catchments ; Digital storage ; Parameterization ; Topography ; Calibration and validations ; Calibration free ; Correlation coefficient ; Geological characteristics ; Prediction in ungauged basins ; Rainfall-runoff modeling ; Runoff generation ; Topographic index ; Runoff ; calibration ; catchment ; index method ; rainfall-runoff modeling ; rhizosphere ; runoff ; Scotland ; United Kingdom ; United States ; Hepatitis B virus
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. © 2019 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163053
Appears in Collections:气候变化与战略

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作者单位: Gao, H., Key Laboratory of Geographic Information Science, Ministry of Education of China, East China Normal University, Shanghai, China, School of Geographical Sciences, East China Normal University, Shanghai, China, Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, PO Box 875402, Tempe, AZ 85287-5402, United States, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; Birkel, C., Department of Geography, University of Costa Rica, San José, Costa Rica, Costa Rica, Northern Rivers Institute, School of Geosciences, University of Aberdeen, Aberdeen, United Kingdom; Hrachowitz, M., Water Resources Section, Delft University of Technology, Delft, Netherlands; Tetzlaff, D., Northern Rivers Institute, School of Geosciences, University of Aberdeen, Aberdeen, United Kingdom, IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany, Humboldt University Berlin, Berlin, Germany; Soulsby, C., Northern Rivers Institute, School of Geosciences, University of Aberdeen, Aberdeen, United Kingdom; Savenije, H.H.G., Water Resources Section, Delft University of Technology, Delft, Netherlands

Recommended Citation:
Gao H.,Birkel C.,Hrachowitz M.,et al. A simple topography-driven and calibration-free runoff generation module[J]. Hydrology and Earth System Sciences,2019-01-01,23(2)
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