Improving river stage forecast by bed reconstruction in sinuous bends

Yan Ting Lin, Jen Yu Han, Wei Bo Chen, Yuan Fong Su, Jiun-Huei Jang

Research output: Contribution to journalArticle

Abstract

Bed topography in river bends is highly non-uniform as a result of the spiral motion of fluid and sediment transports related to channel curvature. To grasp a full understanding of geomorphology and hydrology in natural river bends, detailed bed topography data are necessary, but are usually not of high enough quality and so require further interpolation for sophisticated studies. In this paper, an algorithm is proposed that is particularly suited to bathymetry interpolation in rivers with apparent bends. The thalweg and the two banks are used as geographical features to ensure that a concave cross-sectional bed-form can be found in bend geometry, while linear interpolations are conducted in the in accordance with secondary and main stream currents, respectively. In comparison with conventional spatial interpolation methods, the proposed algorithm is validated to ensure better performance in generating smooth and accurate bed topography in channel bends, which results in better predictions of river stage by 2D hydrodynamic simulation in practical field tests.

Original languageEnglish
Pages (from-to)960-974
Number of pages15
JournalJournal of Hydroinformatics
Volume20
Issue number4
DOIs
Publication statusPublished - 2018 Jul 1

Fingerprint

interpolation
Interpolation
Rivers
Topography
topography
river
Geomorphology
thalweg
Bathymetry
Hydrology
Sediment transport
bedform
bathymetry
geomorphology
curvature
sediment transport
hydrology
Hydrodynamics
hydrodynamics
geometry

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology
  • Geotechnical Engineering and Engineering Geology
  • Atmospheric Science

Cite this

Lin, Yan Ting ; Han, Jen Yu ; Chen, Wei Bo ; Su, Yuan Fong ; Jang, Jiun-Huei. / Improving river stage forecast by bed reconstruction in sinuous bends. In: Journal of Hydroinformatics. 2018 ; Vol. 20, No. 4. pp. 960-974.
@article{ac809ec8845e41aa96135ca90d9d04b3,
title = "Improving river stage forecast by bed reconstruction in sinuous bends",
abstract = "Bed topography in river bends is highly non-uniform as a result of the spiral motion of fluid and sediment transports related to channel curvature. To grasp a full understanding of geomorphology and hydrology in natural river bends, detailed bed topography data are necessary, but are usually not of high enough quality and so require further interpolation for sophisticated studies. In this paper, an algorithm is proposed that is particularly suited to bathymetry interpolation in rivers with apparent bends. The thalweg and the two banks are used as geographical features to ensure that a concave cross-sectional bed-form can be found in bend geometry, while linear interpolations are conducted in the in accordance with secondary and main stream currents, respectively. In comparison with conventional spatial interpolation methods, the proposed algorithm is validated to ensure better performance in generating smooth and accurate bed topography in channel bends, which results in better predictions of river stage by 2D hydrodynamic simulation in practical field tests.",
author = "Lin, {Yan Ting} and Han, {Jen Yu} and Chen, {Wei Bo} and Su, {Yuan Fong} and Jiun-Huei Jang",
year = "2018",
month = "7",
day = "1",
doi = "10.2166/hydro.2018.119",
language = "English",
volume = "20",
pages = "960--974",
journal = "Journal of Hydroinformatics",
issn = "1464-7141",
publisher = "IWA Publishing",
number = "4",

}

Improving river stage forecast by bed reconstruction in sinuous bends. / Lin, Yan Ting; Han, Jen Yu; Chen, Wei Bo; Su, Yuan Fong; Jang, Jiun-Huei.

In: Journal of Hydroinformatics, Vol. 20, No. 4, 01.07.2018, p. 960-974.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Improving river stage forecast by bed reconstruction in sinuous bends

AU - Lin, Yan Ting

AU - Han, Jen Yu

AU - Chen, Wei Bo

AU - Su, Yuan Fong

AU - Jang, Jiun-Huei

PY - 2018/7/1

Y1 - 2018/7/1

N2 - Bed topography in river bends is highly non-uniform as a result of the spiral motion of fluid and sediment transports related to channel curvature. To grasp a full understanding of geomorphology and hydrology in natural river bends, detailed bed topography data are necessary, but are usually not of high enough quality and so require further interpolation for sophisticated studies. In this paper, an algorithm is proposed that is particularly suited to bathymetry interpolation in rivers with apparent bends. The thalweg and the two banks are used as geographical features to ensure that a concave cross-sectional bed-form can be found in bend geometry, while linear interpolations are conducted in the in accordance with secondary and main stream currents, respectively. In comparison with conventional spatial interpolation methods, the proposed algorithm is validated to ensure better performance in generating smooth and accurate bed topography in channel bends, which results in better predictions of river stage by 2D hydrodynamic simulation in practical field tests.

AB - Bed topography in river bends is highly non-uniform as a result of the spiral motion of fluid and sediment transports related to channel curvature. To grasp a full understanding of geomorphology and hydrology in natural river bends, detailed bed topography data are necessary, but are usually not of high enough quality and so require further interpolation for sophisticated studies. In this paper, an algorithm is proposed that is particularly suited to bathymetry interpolation in rivers with apparent bends. The thalweg and the two banks are used as geographical features to ensure that a concave cross-sectional bed-form can be found in bend geometry, while linear interpolations are conducted in the in accordance with secondary and main stream currents, respectively. In comparison with conventional spatial interpolation methods, the proposed algorithm is validated to ensure better performance in generating smooth and accurate bed topography in channel bends, which results in better predictions of river stage by 2D hydrodynamic simulation in practical field tests.

UR - http://www.scopus.com/inward/record.url?scp=85054421951&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054421951&partnerID=8YFLogxK

U2 - 10.2166/hydro.2018.119

DO - 10.2166/hydro.2018.119

M3 - Article

VL - 20

SP - 960

EP - 974

JO - Journal of Hydroinformatics

JF - Journal of Hydroinformatics

SN - 1464-7141

IS - 4

ER -