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DOI | 10.5194/hess-24-5279-2020 |
Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks | |
Yu S.; Xuan Do H.; Van Dijk A.I.J.M.; Bond N.R.; Lin P.; Kennard M.J. | |
发表日期 | 2020 |
ISSN | 1027-5606 |
起始页码 | 5279 |
结束页码 | 5295 |
卷号 | 24期号:11 |
英文摘要 | There is a growing interest globally in the spatial distribution and temporal dynamics of intermittently flowing streams and rivers, and how this varies in relation to climatic and other environmental factors. However, biases in the distribution of stream gauges may give a misleading impression of spatialoral variations in streamflow intermittency within river networks. Here, we developed an approach to quantify catchment-wide streamflow intermittency over long time frames and in a spatially explicit manner, using readily accessible and spatially contiguous daily runoff data from a national-scale water balance model. We examined the ability of the water balance model to simulate streamflow in two hydro-climatically distinctive (subtropical and temperate) regions in Australia, with a particular focus on low-flow simulations. We also evaluated the effect of model time step (daily vs. monthly) on flow intermittency estimation to inform future model selection. The water balance model showed better performance in the temperate region characterised by steady baseflow than in the subtropical region with flashy hydrographs and frequent cease-to-flow periods. The model tended to overestimate low-flow magnitude mainly due to overestimation of gains (e.g. groundwater release to baseflow) during low-flow periods. Modelled patterns of flow intermittency revealed highly dynamic behaviour in space and time, with cease-to-flow events affecting between 29 and 80 % of the river network over the period of 1911-2016, using a daily streamflow model. The daily flow model did not perform better than the monthly flow model in quantifying flow intermittency at a monthly time step, and model selection should depend on the intended application of the model outputs. Our general approach to quantifying spatiooral patterns of flow intermittency is transferable to other parts of the world, and it can inform hydro-ecological understanding and management of intermittent streams where limited gauging data are available. © 2020 Author(s). |
语种 | 英语 |
scopus关键词 | Catchments; Data streams; Groundwater; Rivers; Stream flow; Tropics; Daily water balances; Dynamic behaviours; Environmental factors; Intermittent streams; Spatially explicit; Streamflow modeling; Subtropical regions; Water balance models; Climate models; hydrological modeling; spatial analysis; stream; throughfall; water budget |
来源期刊 | Hydrology and Earth System Sciences
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159266 |
作者单位 | Yu, S., Australian Rivers Institute, School of Environment and Science, Griffith University, Nathan, QLD, Australia; Xuan Do, H., School of Civil Environmental and Mining Engineering, University of Adelaide, Adelaide, Australia, Faculty of Environment and Natural Resources, Nong Lam University, Ho Chi Minh City, Viet Nam, School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, United States; Van Dijk, A.I.J.M., Fenner School of Environment and Society, Australian National University, Canberra, Australia, Australia; Bond, N.R., Centre for Freshwater Ecosystems, La Trobe University, Wodonga, VIC, Australia; Lin, P., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; Kennard, M.J., Australian Rivers Institute, School of Environment and Science, Griffith University, Nathan, QLD, Australia |
推荐引用方式 GB/T 7714 | Yu S.,Xuan Do H.,Van Dijk A.I.J.M.,et al. Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks[J],2020,24(11). |
APA | Yu S.,Xuan Do H.,Van Dijk A.I.J.M.,Bond N.R.,Lin P.,&Kennard M.J..(2020).Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks.Hydrology and Earth System Sciences,24(11). |
MLA | Yu S.,et al."Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks".Hydrology and Earth System Sciences 24.11(2020). |
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