DOI: 10.5194/hess-24-5453-2020
论文题名: Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment
作者: Hinrich Kaplan N. ; Blume T. ; Weiler M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 11 起始页码: 5453
结束页码: 5472
语种: 英语
Scopus关键词: Catchments
; Drought
; Forecasting
; Geology
; Large dataset
; Logistic regression
; Runoff
; Catchment information
; Geological properties
; Hydrological modelling
; Logistic regression models
; Mesoscale catchments
; Soil hydraulic conductivity
; Spatial informations
; Statistical modelling
; Stream flow
; bedrock
; catchment
; ephemeral stream
; extreme event
; flow pattern
; mesoscale motion
; permeability
; streamflow
; temperate environment
; Belgium
; Luxembourg [Belgium]
; Trachinotus falcatus
英文摘要: The fields of eco-hydrological modelling and extreme flow prediction and management demand detailed information of streamflow intermittency and its corresponding landscape controls. Innovative sensing technology for monitoring of streamflow intermittency in perennial rivers and intermittent reaches improves data availability, but reliable maps of streamflow intermittency are still rare. We used a large dataset of streamflow intermittency observations and a set of spatial predictors to create logistic regression models to predict the probability of streamflow intermittency for a full year as well as wet and dry periods for the entire 247km2 Attert catchment in Luxembourg. Similar climatic conditions across the catchment permit a direct comparison of the streamflow intermittency among different geological and pedological regions. We used 15 spatial predictors describing land cover, track (road) density, terrain metrics, soil and geological properties. Predictors were included as local-scale information, represented by the local value at the catchment outlet and as integral catchment information calculated as the mean catchment value over all pixels upslope of the catchment outlet. The terrain metrics catchment area and profile curvature were identified in all models as the most important predictors, and the model for the wet period was based solely on these two predictors. However, the model for the dry period additionally comprises soil hydraulic conductivity and bedrock permeability. The annual model with the most complex predictor set contains the predictors of the dry-period model plus the presence of tracks. Classifying the spatially distributed streamflow intermittency probabilities into ephemeral, intermittent and perennial reaches allows the estimation of stream network extent under various conditions. This approach, based on extensive monitoring and statistical modelling, is a first step to provide detailed spatial information for hydrological modelling as well as management practice. © 2020 IOS Press. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162547
Appears in Collections: 气候变化与战略
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作者单位: Hinrich Kaplan, N., Hydrology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, 79098, Germany; Blume, T., Hydrology, Helmholtz Centre Potsdam, German Research Centre for Geosciences, Potsdam, 14473, Germany; Weiler, M., Hydrology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, 79098, Germany
Recommended Citation:
Hinrich Kaplan N.,Blume T.,Weiler M.. Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment[J]. Hydrology and Earth System Sciences,2020-01-01,24(11)