TY - JOUR
T1 - Multi-scale flooding hazards evaluation using a nested flood simulation model
T2 - case study of Jamuna River, Bangladesh
AU - Hashimoto, Masakazu
AU - Kawaike, Kenji
AU - Deguchi, Tomonori
AU - Haque, Shammi
AU - Paul, Arpan
AU - Salehin, Mashfiqus
AU - Nakagawa, Hajime
N1 - Publisher Copyright:
© 2021 International Association for Hydro-Environment Engineering and Research.
PY - 2021
Y1 - 2021
N2 - We investigated the merits of performing multi-scale flood simulations with nested two-dimensional flood simulation models for flood risk management applications over an extended period with infiltration and evapotranspiration. For nested calculations, (1) inter-district, (2) district, and (3) regional scales were arranged as three levels in the nested model. Because the nested method can be useful for flat land, the Gaibandha District in Bangladesh was chosen for the study area. This area is a typical flood-prone area that is inundated frequently by flood flow from the Jamuna River. First, we performed a year-round flooding simulation for the year 2007 by focusing on a monsoon flood, and validated the results via satellite images. Second, we evaluated the differences of floods in the case of 2.33- and 100-year return periods by using discharge data produced by a flood frequency analysis. We successfully simulated the flooding in each nested level for 2007, and this enabled us to evaluate the flood risks at different scales. In addition, we delineated the flood extent for different return periods and clarified the relationship between the peak water level of the river and the flood extent. The nested method proved to be advantageous because its implementation is not computationally demanding.
AB - We investigated the merits of performing multi-scale flood simulations with nested two-dimensional flood simulation models for flood risk management applications over an extended period with infiltration and evapotranspiration. For nested calculations, (1) inter-district, (2) district, and (3) regional scales were arranged as three levels in the nested model. Because the nested method can be useful for flat land, the Gaibandha District in Bangladesh was chosen for the study area. This area is a typical flood-prone area that is inundated frequently by flood flow from the Jamuna River. First, we performed a year-round flooding simulation for the year 2007 by focusing on a monsoon flood, and validated the results via satellite images. Second, we evaluated the differences of floods in the case of 2.33- and 100-year return periods by using discharge data produced by a flood frequency analysis. We successfully simulated the flooding in each nested level for 2007, and this enabled us to evaluate the flood risks at different scales. In addition, we delineated the flood extent for different return periods and clarified the relationship between the peak water level of the river and the flood extent. The nested method proved to be advantageous because its implementation is not computationally demanding.
KW - frequency analysis
KW - Jamuna River
KW - Multi-scale flooding analysis
KW - nested model
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U2 - 10.1080/15715124.2021.1935977
DO - 10.1080/15715124.2021.1935977
M3 - Article
AN - SCOPUS:85108198600
JO - International Journal of River Basin Management
JF - International Journal of River Basin Management
SN - 1571-5124
ER -