DOI: 10.5194/hess-20-2929-2016
Scopus记录号: 2-s2.0-84979209143
论文题名: Mapping dominant runoff processes: An evaluation of different approaches using similarity measures and synthetic runoff simulations
作者: Antonetti M ; , Buss R ; , Scherrer S ; , Margreth M ; , Zappa M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 7 起始页码: 2929
结束页码: 2945
语种: 英语
Scopus关键词: Catchments
; Digital storage
; Geographic information systems
; Mapping
; Application range
; Automatic approaches
; Data requirements
; Dominant runoff process
; Hydrological modeling
; Hydrological simulations
; Similarity measure
; Ungauged catchment
; Runoff
; automation
; catchment
; flood forecasting
; flow measurement
; geological mapping
; GIS
; hydrological modeling
; land classification
; runoff
; software
; uncertainty analysis
; Swiss Plateau
; Switzerland
英文摘要: The identification of landscapes with similar hydrological behaviour is useful for runoff and flood predictions in small ungauged catchments. An established method for landscape classification is based on the concept of dominant runoff process (DRP). The various DRP-mapping approaches differ with respect to the time and data required for mapping. Manual approaches based on expert knowledge are reliable but time-consuming, whereas automatic GIS-based approaches are easier to implement but rely on simplifications which restrict their application range. To what extent these simplifications are applicable in other catchments is unclear. More information is also needed on how the different complexities of automatic DRP-mapping approaches affect hydrological simulations. In this paper, three automatic approaches were used to map two catchments on the Swiss Plateau. The resulting maps were compared to reference maps obtained with manual mapping. Measures of agreement and association, a class comparison, and a deviation map were derived. The automatically derived DRP maps were used in synthetic runoff simulations with an adapted version of the PREVAH hydrological model, and simulation results compared with those from simulations using the reference maps. The DRP maps derived with the automatic approach with highest complexity and data requirement were the most similar to the reference maps, while those derived with simplified approaches without original soil information differed significantly in terms of both extent and distribution of the DRPs. The runoff simulations derived from the simpler DRP maps were more uncertain due to inaccuracies in the input data and their coarse resolution, but problems were also linked with the use of topography as a proxy for the storage capacity of soils. The perception of the intensity of the DRP classes also seems to vary among the different authors, and a standardised definition of DRPs is still lacking. Furthermore, we argue not to use expert knowledge for only model building and constraining, but also in the phase of landscape classification. © 2016 The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78784
Appears in Collections: 气候变化事实与影响
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作者单位: Swiss Federal Research Institute WSL, Birmensdorf, Switzerland; Department of Geography, University of Zurich, Zurich, Switzerland; Scherrer AG, Basel, Switzerland; SoilCom GmbH, Zurich, Switzerland
Recommended Citation:
Antonetti M,, Buss R,, Scherrer S,et al. Mapping dominant runoff processes: An evaluation of different approaches using similarity measures and synthetic runoff simulations[J]. Hydrology and Earth System Sciences,2016-01-01,20(7)