2019
DOI: 10.2208/jscejhe.75.2_i_1321
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Inundation Forecasting on National Scale of Japan Using Rainfall-Runoff-Inundation Integral Analysis

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Cited by 6 publications
(3 citation statements)
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“…The default land use was classified into 12 types. However, to facilitate calibration of the parameters, we consolidated them into five types during the calculation as follows: rice paddy, farmland, mountain, urban, and water area (Konja et al, 2019). The computational period was 4 days, with 3 days allocated for HTM analysis and an additional day for spin-up computation to establish the initial presence of water within the river channel.…”
Section: Rainfall-runoff-inundation Modelmentioning
confidence: 99%
“…The default land use was classified into 12 types. However, to facilitate calibration of the parameters, we consolidated them into five types during the calculation as follows: rice paddy, farmland, mountain, urban, and water area (Konja et al, 2019). The computational period was 4 days, with 3 days allocated for HTM analysis and an additional day for spin-up computation to establish the initial presence of water within the river channel.…”
Section: Rainfall-runoff-inundation Modelmentioning
confidence: 99%
“…The default land use is classi ed into 12 types. However, in order to facilitate the calibration of the parameters, we consolidated them into the ve types during the calculation: rice paddy, farmland, mountain, urban, and water area (Konja et al 2019).…”
Section: Computational Con Guration For Rainfall-runoffmentioning
confidence: 99%
“…These studies used a combined model with a distributed runoff model, a 1-D unsteady flow model, and particle filters 6) . The Rainfall-Runoff-Inundation (RRI) model 7) has also been used to predict inundation over the whole of Japan 8) . The RRI and iRIC's Nays2DH models were used to reproduce flood inundation flows in the Kuma River basin 9) .…”
Section: Introductionmentioning
confidence: 99%