气候变化领域集成服务门户(CCPortal): Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment

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DOI	10.5194/hess-24-5453-2020
	Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment
	Hinrich Kaplan N.; Blume T.; Weiler M.
发表日期	2020
ISSN	1027-5606
起始页码	5453
结束页码	5472
卷号	24 期号:11
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.
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159257
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
推荐引用方式 GB/T 7714	Hinrich Kaplan N.,Blume T.,Weiler M.. Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment[J],2020,24(11).
APA	Hinrich Kaplan N.,Blume T.,&Weiler M..(2020).Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment.Hydrology and Earth System Sciences,24(11).
MLA	Hinrich Kaplan N.,et al."Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment".Hydrology and Earth System Sciences 24.11(2020).