Methods for predicting vertical velocity distributions in open channel flows with submerged rigid vegetation

Xiaonan Tang*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

5 Citations (Scopus)

Abstract

This paper evaluates the four analytical models of Klopstra, Defina, Baptist, and Nepf model for predicting vertical velocity distributions of flow in an open channel with submerged rigid vegetation, in order to examine their sensibility to vegetation density and submergence ratios (H/h), where H is flow depth and h is vegetation height. Fourteen experimental datasets used cover the ratios of H/h =1.25 ∼ 3.33, and various vegetation density of a =1.1 ∼ 18.5 m-1 (a defined as the frontal areas of the vegetation per unit volume). For submerged vegetated flow, the vertical velocity distribution can often be described by two layers, the vegetation layer in the lower part and the non-vegetation layer in the upper part. The vegetation retards flow by exerting drag force on the flow, thus resulting in different velocities between the vegetation layer and the upper surface layer. Based on an eddy mixing-layer analogy, different analytical models have been proposed for predicting vertical velocity distribution in the two layers, and four models were chosen to examine their sensibility when tested against different independent datasets from those used in their original papers. Our studies show that the four models can predict reasonably well under a certain range of vegetation density and submergence, and that the prediction of all the models are less sensitive in the lower region. The studies also reveal that under the same submergence, the predictions of the four models in the upper layer are less sensitive to low vegetation density (e.g. ah <1) than to high vegetation density (ah >1), but that for the same vegetation density, all four models are much sensitive to the vegetation submergence ratio (H/h). It was also found that the Defina and Klopstra models are almost the same despite some simplification made in the Klopstra model, if the same mixing length scale of eddies (A,)is used. Finally, close examination on A, in the analytical models, and it was found that the predictions of the models (the Baptist, Defina and Klopstra models) are less sensitive to the vegetation density and submergence when A, is evaluated by 0.02√Hh.

Original languageEnglish
Title of host publicationProceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress
Subtitle of host publicationMulti-Perspective Water for Sustainable Development, IAHR-APD 2018
EditorsWarniyati Warniyati, Djoko Legono, Hendy Setiawan, Ani Hairani, Muhammad Ramdhan Olii, Johan Syafri Mahathir Ahmad, Karlina, Roby Hambali, Benazir
PublisherDepartment of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada
Pages567-576
Number of pages10
ISBN (Electronic)9786027176270
Publication statusPublished - 1 Sept 2018
Event21st Congress of International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018 - Yogyakarta, Indonesia
Duration: 2 Sept 20185 Sept 2018

Publication series

NameProceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018
Volume1

Conference

Conference21st Congress of International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018
Country/TerritoryIndonesia
CityYogyakarta
Period2/09/185/09/18

Keywords

  • Analytical model
  • Open channel flow
  • Rigid vegetation
  • Vegetated flow
  • Vertical velocity profile

Fingerprint

Dive into the research topics of 'Methods for predicting vertical velocity distributions in open channel flows with submerged rigid vegetation'. Together they form a unique fingerprint.

Cite this