气候变化领域集成服务门户(CCPortal): A simple topography-driven and calibration-free runoff generation module

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DOI	10.5194/hess-23-787-2019
	A simple topography-driven and calibration-free runoff generation module
	Gao H.; Birkel C.; Hrachowitz M.; Tetzlaff D.; Soulsby C.; Savenije H.H.G.
发表日期	2019
ISSN	1027-5606
起始页码	787
结束页码	809
卷号	23 期号:2
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).
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
来源期刊	Hydrology and Earth System Sciences
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159763
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 In...
推荐引用方式 GB/T 7714	Gao H.,Birkel C.,Hrachowitz M.,et al. A simple topography-driven and calibration-free runoff generation module[J]. 中国科学院西北生态环境资源研究院,2019,23(2).
APA	Gao H.,Birkel C.,Hrachowitz M.,Tetzlaff D.,Soulsby C.,&Savenije H.H.G..(2019).A simple topography-driven and calibration-free runoff generation module.Hydrology and Earth System Sciences,23(2).
MLA	Gao H.,et al."A simple topography-driven and calibration-free runoff generation module".Hydrology and Earth System Sciences 23.2(2019).