Role of rainstorm intensity underestimated by data-derived flood models: Emerging global evidence from subsurface-dominated watersheds. (February 2017)
- Record Type:
- Journal Article
- Title:
- Role of rainstorm intensity underestimated by data-derived flood models: Emerging global evidence from subsurface-dominated watersheds. (February 2017)
- Main Title:
- Role of rainstorm intensity underestimated by data-derived flood models: Emerging global evidence from subsurface-dominated watersheds
- Authors:
- Chappell, Nick A.
Jones, Tim D.
Tych, Wlodek
Krishnaswamy, Jagdish - Abstract:
- Abstract: Intense rainstorms are a prevalent feature of current weather. Evidence is presented showing that simulation of flood hydrographs shown to be dominated by subsurface flow requires watershed model parameterisation to vary between periods of different rainstorm intensity, in addition to varying with antecedent basin storage. The data show an emerging global relation between flood response and the intensity of rainstorms. Flood responses are quantified as watershed residence times (strictly time constants of nonlinear transfer-function models) identified directly from information contained within 15-min rainfall and streamflow observations. The emerging monotonic, curvilinear relation indicates that (subsurface) watershed residence time decreases as mean intensity rises, and is seen over a wide range of synoptic conditions from temperate and tropical climates. Projected increases in rainstorm intensity would then result in a greater likelihood of river floods in subsurface-dominated watersheds than is currently simulated by systems models omitting this additional nonlinearity. Highlights: Hyetograph change gives nonlinear flood responses without overland flow activation. New storm intensity - hydrograph relationship apparent from diverse synoptic regimes. Implications for improved flood simulation under time-varying rainfall intensity regimes.
- Is Part Of:
- Environmental modelling & software. Volume 88(2017)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 88(2017)
- Issue Display:
- Volume 88, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 88
- Issue:
- 2017
- Issue Sort Value:
- 2017-0088-2017-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2017-02
- Subjects:
- Rainfall intensity -- Storm hydrograph -- Transfer function -- Flood -- Nonlinearity
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2016.10.009 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.522800
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