Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka

Capturing inundation extent by floods is indispensable for decision making for mitigating hazard. Satellite images have commonly been used for flood mapping, but there are limitations such as unavailability due to satellite’s orbital period or cloud cover. Additionally, it would also be beneficial f...

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Autores principales: Yoshimoto, Shuhei, Amarnath, Giriraj
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2018
Materias:
Acceso en línea:https://hdl.handle.net/10568/91304
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author Yoshimoto, Shuhei
Amarnath, Giriraj
author_browse Amarnath, Giriraj
Yoshimoto, Shuhei
author_facet Yoshimoto, Shuhei
Amarnath, Giriraj
author_sort Yoshimoto, Shuhei
collection Repository of Agricultural Research Outputs (CGSpace)
description Capturing inundation extent by floods is indispensable for decision making for mitigating hazard. Satellite images have commonly been used for flood mapping, but there are limitations such as unavailability due to satellite’s orbital period or cloud cover. Additionally, it would also be beneficial for policy makers to figure out the impact of water management measures such as water storage options on flood mitigation and irrigation water strengthening. Utilization of flood inundation models would support providing information for these demands. In this study, the rainfall–runoff inundation (RRI) model was applied in a flood-prone basin in eastern Sri Lanka, and its applicability was discussed. The RRI model was capable of simulating discharge and inundation extent during flood events, although it should be noted that the model had been calibrated targeting only the flooding period. Satellite-observed rainfall data corrected with a scale factor were able to be used as the model input to simulate long-term trends in runoff just as well as when gauged rainfall data were applied. The calibrated model was also capable of evaluating flood mitigation effects of existing and proposed water storage options by simulating discharge with and without flood capture operations. By reproducing long-term inflow to the storage facilities using satellite rainfall data, it was possible to determine that water would reach the maximum level of the proposed storage facilities even during low-rainfall years.
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spelling CGSpace913042025-03-11T09:50:20Z Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka Yoshimoto, Shuhei Amarnath, Giriraj flood control rainfall-runoff relationships models calibration performance evaluation river basins discharges reservoirs water management water storage estimation hydrography satellite observation disaster risk reduction Capturing inundation extent by floods is indispensable for decision making for mitigating hazard. Satellite images have commonly been used for flood mapping, but there are limitations such as unavailability due to satellite’s orbital period or cloud cover. Additionally, it would also be beneficial for policy makers to figure out the impact of water management measures such as water storage options on flood mitigation and irrigation water strengthening. Utilization of flood inundation models would support providing information for these demands. In this study, the rainfall–runoff inundation (RRI) model was applied in a flood-prone basin in eastern Sri Lanka, and its applicability was discussed. The RRI model was capable of simulating discharge and inundation extent during flood events, although it should be noted that the model had been calibrated targeting only the flooding period. Satellite-observed rainfall data corrected with a scale factor were able to be used as the model input to simulate long-term trends in runoff just as well as when gauged rainfall data were applied. The calibrated model was also capable of evaluating flood mitigation effects of existing and proposed water storage options by simulating discharge with and without flood capture operations. By reproducing long-term inflow to the storage facilities using satellite rainfall data, it was possible to determine that water would reach the maximum level of the proposed storage facilities even during low-rainfall years. 2018-03 2018-03-07T10:16:33Z 2018-03-07T10:16:33Z Journal Article https://hdl.handle.net/10568/91304 en Open Access Springer Yoshimoto, Shuhei; Amarnath, Giriraj. 2017. Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka. Natural Hazards. 25p. (Online first).. . 10.1007/s11069-017-3143-5
spellingShingle flood control
rainfall-runoff relationships
models
calibration
performance evaluation
river basins
discharges
reservoirs
water management
water storage
estimation
hydrography
satellite observation
disaster risk reduction
Yoshimoto, Shuhei
Amarnath, Giriraj
Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
title Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
title_full Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
title_fullStr Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
title_full_unstemmed Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
title_short Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
title_sort application of a flood inundation model to analyze the potential impacts of a flood control plan in mundeni aru river basin sri lanka
topic flood control
rainfall-runoff relationships
models
calibration
performance evaluation
river basins
discharges
reservoirs
water management
water storage
estimation
hydrography
satellite observation
disaster risk reduction
url https://hdl.handle.net/10568/91304
work_keys_str_mv AT yoshimotoshuhei applicationofafloodinundationmodeltoanalyzethepotentialimpactsofafloodcontrolplaninmundeniaruriverbasinsrilanka
AT amarnathgiriraj applicationofafloodinundationmodeltoanalyzethepotentialimpactsofafloodcontrolplaninmundeniaruriverbasinsrilanka