Inverse estimation of distributed roughness coefficients in vegetated flooded rivers

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper describes data assimilation for estimating bed roughness factor due to vegetation in natural rivers. An adjoint shallow-water model was developed for variational data assimilation. Optimal values for distributed bed roughness coefficients were determined using a quasi-Newtonian method with flow and adjoint variables. The data assimilation technique was applied to inverse estimation of the distributed coefficients in the lower reaches of the Asahi River in Japan during flooding in 2011. For practical use, the assimilated data comprised water levels measured along the river at regular time intervals. Results show that the magnitude of each coefficient distributed over targeted subregions was reasonably consistent with the vegetation species established in the corresponding subregion, considering characteristic values of vegetation related to the flow resistance.

Original languageEnglish
Pages (from-to)811-823
Number of pages13
JournalJournal of Hydraulic Research
Volume52
Issue number6
DOIs
Publication statusPublished - Nov 2 2014

Fingerprint

data assimilation
roughness
bed roughness
Surface roughness
Rivers
vegetation
river
Water levels
water level
shallow water
flooding
Water
method

Keywords

  • Data assimilation
  • flooding
  • flow resistance
  • Mannings roughness coefficient
  • vegetation

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering

Cite this

Inverse estimation of distributed roughness coefficients in vegetated flooded rivers. / Yoshida, Keisuke; Maeno, Shiro.

In: Journal of Hydraulic Research, Vol. 52, No. 6, 02.11.2014, p. 811-823.

Research output: Contribution to journalArticle

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