Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods

Global-scale river models (GRMs) are core tools for providing consistent estimates of global flood hazard, especially in data-scarce regions. Due to former limitations in computational power and input datasets, most GRMs have been developed to use simplified representations of flow physics and r...

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Main Authors: C. M. R. Mateo, D. Yamazaki, H. Kim, A. Champathong, J. Vaze, T. Oki
Format: Article
Language:English
Published: Copernicus Publications 2017-10-01
Series:Hydrology and Earth System Sciences
Online Access:https://www.hydrol-earth-syst-sci.net/21/5143/2017/hess-21-5143-2017.pdf
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spelling doaj-1986a86bcbec457e85942c0e52ecf70b2020-11-24T22:41:38ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382017-10-01215143516310.5194/hess-21-5143-2017Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floodsC. M. R. Mateo0C. M. R. Mateo1D. Yamazaki2D. Yamazaki3H. Kim4A. Champathong5J. Vaze6T. Oki7T. Oki8CSIRO Land and Water, ACT, 2601, AustraliaInstitute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, JapanInstitute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, JapanDepartment of Integrated Climate Change Projection Research, Japan Agency for Marine-Earth Science and Technology, Yokohama, 236-0001, JapanInstitute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, JapanRoyal Irrigation Department, Bangkok, 10300, ThailandCSIRO Land and Water, ACT, 2601, AustraliaInstitute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, JapanUnited Nations University, 5 Chome-53-70 Jingumae, Shibuya, Tokyo, 150-8925, JapanGlobal-scale river models (GRMs) are core tools for providing consistent estimates of global flood hazard, especially in data-scarce regions. Due to former limitations in computational power and input datasets, most GRMs have been developed to use simplified representations of flow physics and run at coarse spatial resolutions. With increasing computational power and improved datasets, the application of GRMs to finer resolutions is becoming a reality. To support development in this direction, the suitability of GRMs for application to finer resolutions needs to be assessed. This study investigates the impacts of spatial resolution and flow connectivity representation on the predictive capability of a GRM, CaMa-Flood, in simulating the 2011 extreme flood in Thailand. Analyses show that when single downstream connectivity (SDC) is assumed, simulation results deteriorate with finer spatial resolution; Nash–Sutcliffe efficiency coefficients decreased by more than 50 % between simulation results at 10 km resolution and 1 km resolution. When multiple downstream connectivity (MDC) is represented, simulation results slightly improve with finer spatial resolution. The SDC simulations result in excessive backflows on very flat floodplains due to the restrictive flow directions at finer resolutions. MDC channels attenuated these effects by maintaining flow connectivity and flow capacity between floodplains in varying spatial resolutions. While a regional-scale flood was chosen as a test case, these findings should be universal and may have significant impacts on large- to global-scale simulations, especially in regions where mega deltas exist.These results demonstrate that a GRM can be used for higher resolution simulations of large-scale floods, provided that MDC in rivers and floodplains is adequately represented in the model structure.https://www.hydrol-earth-syst-sci.net/21/5143/2017/hess-21-5143-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. M. R. Mateo
C. M. R. Mateo
D. Yamazaki
D. Yamazaki
H. Kim
A. Champathong
J. Vaze
T. Oki
T. Oki
spellingShingle C. M. R. Mateo
C. M. R. Mateo
D. Yamazaki
D. Yamazaki
H. Kim
A. Champathong
J. Vaze
T. Oki
T. Oki
Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
Hydrology and Earth System Sciences
author_facet C. M. R. Mateo
C. M. R. Mateo
D. Yamazaki
D. Yamazaki
H. Kim
A. Champathong
J. Vaze
T. Oki
T. Oki
author_sort C. M. R. Mateo
title Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
title_short Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
title_full Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
title_fullStr Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
title_full_unstemmed Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
title_sort impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2017-10-01
description Global-scale river models (GRMs) are core tools for providing consistent estimates of global flood hazard, especially in data-scarce regions. Due to former limitations in computational power and input datasets, most GRMs have been developed to use simplified representations of flow physics and run at coarse spatial resolutions. With increasing computational power and improved datasets, the application of GRMs to finer resolutions is becoming a reality. To support development in this direction, the suitability of GRMs for application to finer resolutions needs to be assessed. This study investigates the impacts of spatial resolution and flow connectivity representation on the predictive capability of a GRM, CaMa-Flood, in simulating the 2011 extreme flood in Thailand. Analyses show that when single downstream connectivity (SDC) is assumed, simulation results deteriorate with finer spatial resolution; Nash–Sutcliffe efficiency coefficients decreased by more than 50 % between simulation results at 10 km resolution and 1 km resolution. When multiple downstream connectivity (MDC) is represented, simulation results slightly improve with finer spatial resolution. The SDC simulations result in excessive backflows on very flat floodplains due to the restrictive flow directions at finer resolutions. MDC channels attenuated these effects by maintaining flow connectivity and flow capacity between floodplains in varying spatial resolutions. While a regional-scale flood was chosen as a test case, these findings should be universal and may have significant impacts on large- to global-scale simulations, especially in regions where mega deltas exist.These results demonstrate that a GRM can be used for higher resolution simulations of large-scale floods, provided that MDC in rivers and floodplains is adequately represented in the model structure.
url https://www.hydrol-earth-syst-sci.net/21/5143/2017/hess-21-5143-2017.pdf
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