Estimation of distributed flow resistance in vegetated rivers using airborne topo-bathymetric LiDAR and its application to risk management tasks for Asahi River flooding

Keisuke Yoshida, Shiro Maeno, Shuhei Ogawa, Koji Mano, Shinya Nigo

Research output: Contribution to journalArticle

Abstract

This report describes a method of extracting vegetation conditions and topo-bathymetric data of rivers using airborne LiDAR with near-infrared and green pulsed lasers. Parameters related to flow resistance attributable to vegetation in rivers were found using point cloud data of LiDAR with support from supervised classification. Comparison of data obtained from simulations and observations was used to assess the applicability of the proposed method for examination of lower Asahi River flooding that occurred in Japan in September 2011. Results demonstrated that the methodology used herein can estimate flow resistance parameterisation of vegetation distributed on a reach scale. This study also used numerical tests to elucidate effects of established vegetation for flood control at the lower Asahi River bifurcation point using a historically important fixed weir. Results of these numerical tests demonstrated that the method can elucidate effective means of managing vegetation removal around the bifurcation point.

Original languageEnglish
Article numbere12584
JournalJournal of Flood Risk Management
DOIs
Publication statusAccepted/In press - Jan 1 2019

Fingerprint

Risk management
risk management
flooding
Rivers
river
vegetation
bifurcation
Flood control
weir
flood control
image classification
natural disaster
Parameterization
Pulsed lasers
Japan
parameterization
near infrared
examination
laser
simulation

Keywords

  • flooding
  • flow resistance
  • topo-bathymetric LiDAR
  • vegetation

ASJC Scopus subject areas

  • Environmental Engineering
  • Geography, Planning and Development
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology

Cite this

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title = "Estimation of distributed flow resistance in vegetated rivers using airborne topo-bathymetric LiDAR and its application to risk management tasks for Asahi River flooding",
abstract = "This report describes a method of extracting vegetation conditions and topo-bathymetric data of rivers using airborne LiDAR with near-infrared and green pulsed lasers. Parameters related to flow resistance attributable to vegetation in rivers were found using point cloud data of LiDAR with support from supervised classification. Comparison of data obtained from simulations and observations was used to assess the applicability of the proposed method for examination of lower Asahi River flooding that occurred in Japan in September 2011. Results demonstrated that the methodology used herein can estimate flow resistance parameterisation of vegetation distributed on a reach scale. This study also used numerical tests to elucidate effects of established vegetation for flood control at the lower Asahi River bifurcation point using a historically important fixed weir. Results of these numerical tests demonstrated that the method can elucidate effective means of managing vegetation removal around the bifurcation point.",
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author = "Keisuke Yoshida and Shiro Maeno and Shuhei Ogawa and Koji Mano and Shinya Nigo",
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AU - Yoshida, Keisuke

AU - Maeno, Shiro

AU - Ogawa, Shuhei

AU - Mano, Koji

AU - Nigo, Shinya

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This report describes a method of extracting vegetation conditions and topo-bathymetric data of rivers using airborne LiDAR with near-infrared and green pulsed lasers. Parameters related to flow resistance attributable to vegetation in rivers were found using point cloud data of LiDAR with support from supervised classification. Comparison of data obtained from simulations and observations was used to assess the applicability of the proposed method for examination of lower Asahi River flooding that occurred in Japan in September 2011. Results demonstrated that the methodology used herein can estimate flow resistance parameterisation of vegetation distributed on a reach scale. This study also used numerical tests to elucidate effects of established vegetation for flood control at the lower Asahi River bifurcation point using a historically important fixed weir. Results of these numerical tests demonstrated that the method can elucidate effective means of managing vegetation removal around the bifurcation point.

AB - This report describes a method of extracting vegetation conditions and topo-bathymetric data of rivers using airborne LiDAR with near-infrared and green pulsed lasers. Parameters related to flow resistance attributable to vegetation in rivers were found using point cloud data of LiDAR with support from supervised classification. Comparison of data obtained from simulations and observations was used to assess the applicability of the proposed method for examination of lower Asahi River flooding that occurred in Japan in September 2011. Results demonstrated that the methodology used herein can estimate flow resistance parameterisation of vegetation distributed on a reach scale. This study also used numerical tests to elucidate effects of established vegetation for flood control at the lower Asahi River bifurcation point using a historically important fixed weir. Results of these numerical tests demonstrated that the method can elucidate effective means of managing vegetation removal around the bifurcation point.

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