TY - JOUR
T1 - Flood risk assessment in vegetated lower Asahi River of Okayama Prefecture in Japan using airborne topo-bathymetric LiDAR and depth-averaged flow model
AU - Yoshida, Keisuke
AU - Nagata, Kimihisa
AU - Maeno, Shiro
AU - Mano, Koji
AU - Nigo, Shinya
AU - Nishiyama, Satoshi
AU - Islam, Md Touhidul
N1 - Funding Information:
The authors thank both the Electric Technology Research Foundation of Chugoku and the Takahashi Industrial and Economic Research Foundation for providing support. This research was also supported in part by the Wesco Scientific Promotion Foundation and by JSPS KAKENHI Grant No. 18 K04370. The authors also appreciate the Chugoku Regional Development Bureau, Ministry of Land, Infrastructure, Transport and Tourism for offering materials related to river management tasks and all observation data along the Asahi River and Hyakken River. The authors are also grateful to the dedicated support of Mr. Ogawa to conduct numerical simulations and field observations for this work.
Funding Information:
The authors thank both the Electric Technology Research Foundation of Chugoku and the Takahashi Industrial and Economic Research Foundation for providing support. This research was also supported in part by the Wesco Scientific Promotion Foundation and by JSPS KAKENHI Grant No. 18 K04370. The authors also appreciate the Chugoku Regional Development Bureau, Ministry of Land, Infrastructure, Transport and Tourism for offering materials related to river management tasks and all observation data along the Asahi River and Hyakken River. The authors are also grateful to the dedicated support of Mr. Ogawa to conduct numerical simulations and field observations for this work.
Publisher Copyright:
© 2021 International Association for Hydro-environment Engineering and Research, Asia Pacific Division
PY - 2021/11
Y1 - 2021/11
N2 - This paper describes application of airborne LiDAR bathymetry (ALB) with near-infrared and green pulsed lasers for gathering distributed vegetation conditions and topo-bathymetric data for rivers. For the lower Asahi River of Okayama Prefecture in Japan, the ALB data validity was verified using field observation data. This study also examined the applicability of ALB data for numerical simulations of the lower Asahi River flooding in early July 2018 in Japan, comparing simulated and observed data. Results demonstrated that the methodology for this study works well for parameterization of distributed vegetation on a reach scale. This study also applied numerical tests to investigate the effects of vegetation establishment on flood control plans for the lower Asahi River using parameters validated for flood flow simulations. Results demonstrate that the predicted water level markedly exceeds the high water level because of thick vegetation presently established along few-kilometer-long upstream sections of the targeted river reach. Therefore, we conclude that the present findings can support cost-effective management tasks for vegetated rivers.
AB - This paper describes application of airborne LiDAR bathymetry (ALB) with near-infrared and green pulsed lasers for gathering distributed vegetation conditions and topo-bathymetric data for rivers. For the lower Asahi River of Okayama Prefecture in Japan, the ALB data validity was verified using field observation data. This study also examined the applicability of ALB data for numerical simulations of the lower Asahi River flooding in early July 2018 in Japan, comparing simulated and observed data. Results demonstrated that the methodology for this study works well for parameterization of distributed vegetation on a reach scale. This study also applied numerical tests to investigate the effects of vegetation establishment on flood control plans for the lower Asahi River using parameters validated for flood flow simulations. Results demonstrate that the predicted water level markedly exceeds the high water level because of thick vegetation presently established along few-kilometer-long upstream sections of the targeted river reach. Therefore, we conclude that the present findings can support cost-effective management tasks for vegetated rivers.
KW - Distributed flow resistance
KW - Flooding
KW - Topo-bathymetric LiDAR
KW - Vegetation
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U2 - 10.1016/j.jher.2021.06.005
DO - 10.1016/j.jher.2021.06.005
M3 - Article
AN - SCOPUS:85110445850
VL - 39
SP - 39
EP - 59
JO - Journal of Hydro-Environment Research
JF - Journal of Hydro-Environment Research
SN - 1570-6443
ER -