globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-18-649-2014
Scopus记录号: 2-s2.0-84897624589
论文题名:
Advancing catchment hydrology to deal with predictions under change
作者: Ehret U; , Gupta H; V; , Sivapalan M; , Weijs S; V; , Schymanski S; J; , Blöschl G; , Gelfan A; N; , Harman C; , Kleidon A; , Bogaard T; A; , Wang D; , Wagener T; , Scherer U; , Zehe E; , Bierkens M; F; P; , Di Baldassarre G; , Parajka J; , Van Beek L; P; H; , Van Griensven A; , Westhoff M; C; , Winsemius H; C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期:2
起始页码: 649
结束页码: 671
语种: 英语
Scopus关键词: Comparative hydrologies ; Complex dynamical systems ; Engineering disciplines ; Historical development ; Self-organizing systems ; Synergistic combinations ; System configurations ; Thermodynamic systems ; Forecasting ; Runoff ; Catchments ; boundary condition ; catchment ; flood ; flow velocity ; global change ; hydrology ; morphology ; paradigm shift ; prediction ; thermodynamics ; timescale ; topography
英文摘要: Throughout its historical development, hydrology as an earth science, but especially as a problem-centred engineering discipline has largely relied (quite successfully) on the assumption of stationarity. This includes assuming time invariance of boundary conditions such as climate, system configurations such as land use, topography and morphology, and dynamics such as flow regimes and flood recurrence at different spatiooral aggregation scales. The justification for this assumption was often that when compared with the temporal, spatial, or topical extent of the questions posed to hydrology, such conditions could indeed be considered stationary, and therefore the neglect of certain long-term non-stationarities or feedback effects (even if they were known) would not introduce a large error. However, over time two closely related phenomena emerged that have increasingly reduced the general applicability of the stationarity concept: the first is the rapid and extensive global changes in many parts of the hydrological cycle, changing formerly stationary systems to transient ones. The second is that the questions posed to hydrology have become increasingly more complex, requiring the joint consideration of increasingly more (sub-) systems and their interactions across more and longer timescales, which limits the applicability of stationarity assumptions. Therefore, the applicability of hydrological concepts based on stationarity has diminished at the same rate as the complexity of the hydrological problems we are confronted with and the transient nature of the hydrological systems we are dealing with has increased. The aim of this paper is to present and discuss potentially helpful paradigms and theories that should be considered as we seek to better understand complex hydrological systems under change. For the sake of brevity we focus on catchment hydrology. We begin with a discussion of the general nature of explanation in hydrology and briefly review the history of catchment hydrology. We then propose and discuss several perspectives on catchments: as complex dynamical systems, self-organizing systems, co-evolving systems and open dissipative thermodynamic systems. We discuss the benefits of comparative hydrology and of taking an informationtheoretic view of catchments, including the flow of information from data to models to predictions. In summary, we suggest that these perspectives deserve closer attention and that their synergistic combination can advance catchment hydrology to address questions of change.©Author(s) 2014. CC Attribution 3.0 License.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78318
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作者单位: Institute of Water Resources and River Basin Management, Karlsruhe Institute of Technology Andndash; KIT, Karlsruhe, Germany; Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ, United States; Department of Civil and Environmental Engineering, Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States; School of Architecture Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne Andndash; EPFL Lausanne, Lausanne, Switzerland; ETH Zürich, Inst Terr Ecosyst, Soil and Terr Environm Phys STEP, Zurich, Switzerland; Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria; Water Problem Institute of the Russian Academy of Sciences, Moscow, Russian Federation; Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD, United States; Max-Planck Institute for Biogeochemistry, Jena, Germany; Department of Water Management, Delft University of Technology, Delft, Netherlands; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, United States; Department of Civil Engineering, Queen's School of Engineering, University of Bristol, Bristol, United Kingdom; Department of Physical Geography, Utrecht University, Utrecht, Netherlands; Department of Hydroinformatics and Knowledge Management, UNESCO-IHE Institute for Water Education, Delft, Netherlands; Department of Water Science and Engineering, UNESCO-IHE Institute for Water Education, Delft, Netherlands; Deltares, Utrecht, Netherlands

Recommended Citation:
Ehret U,, Gupta H,V,et al. Advancing catchment hydrology to deal with predictions under change[J]. Hydrology and Earth System Sciences,2014-01-01,18(2)
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