Vegetative roughness estimation for hydraulic modelling: a review

The application of hydrodynamic models for simulating the overbank flow patterns and predicting flood water levels in rivers and floodplains have improved significantly over recent years. However, roughness remains a huge uncertainty which cannot be directly measured. This is especially the case for...

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Main Authors: Zahidi, Izni, Yusuf, Badronnisa, Cope, Mike
Format: Article
Published: 2014
Online Access:http://psasir.upm.edu.my/id/eprint/35981/
http://jrcee.com/archive/all/archive_list.php?issue=1&vol=2
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Institution: Universiti Putra Malaysia
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spelling my.upm.eprints.359812016-02-18T00:48:53Z http://psasir.upm.edu.my/id/eprint/35981/ Vegetative roughness estimation for hydraulic modelling: a review Zahidi, Izni Yusuf, Badronnisa Cope, Mike The application of hydrodynamic models for simulating the overbank flow patterns and predicting flood water levels in rivers and floodplains have improved significantly over recent years. However, roughness remains a huge uncertainty which cannot be directly measured. This is especially the case for vegetation growth in watercourses and on floodplains which significantly influence the behaviour of a fluvial system through the reduction of flow conveyance. Therefore, it is crucial to understand how the vegetation element can be represented better in the hydrodynamic model. This paper follows the development of vegetative roughness estimation for hydraulic modeling through laboratory experiments and remote sensing. The study concludes that there is a prospect of utilizing data fusion of remote sensing data to accurately estimate the main vegetation properties such as height and density as a parameter to input to calculations of surface roughness for practical applications. 2014 Article PeerReviewed Zahidi, Izni and Yusuf, Badronnisa and Cope, Mike (2014) Vegetative roughness estimation for hydraulic modelling: a review. Research in Civil and Environmental Engineering, 2 (1). pp. 1-10. ISSN 2345-3109 http://jrcee.com/archive/all/archive_list.php?issue=1&vol=2
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The application of hydrodynamic models for simulating the overbank flow patterns and predicting flood water levels in rivers and floodplains have improved significantly over recent years. However, roughness remains a huge uncertainty which cannot be directly measured. This is especially the case for vegetation growth in watercourses and on floodplains which significantly influence the behaviour of a fluvial system through the reduction of flow conveyance. Therefore, it is crucial to understand how the vegetation element can be represented better in the hydrodynamic model. This paper follows the development of vegetative roughness estimation for hydraulic modeling through laboratory experiments and remote sensing. The study concludes that there is a prospect of utilizing data fusion of remote sensing data to accurately estimate the main vegetation properties such as height and density as a parameter to input to calculations of surface roughness for practical applications.
format Article
author Zahidi, Izni
Yusuf, Badronnisa
Cope, Mike
spellingShingle Zahidi, Izni
Yusuf, Badronnisa
Cope, Mike
Vegetative roughness estimation for hydraulic modelling: a review
author_facet Zahidi, Izni
Yusuf, Badronnisa
Cope, Mike
author_sort Zahidi, Izni
title Vegetative roughness estimation for hydraulic modelling: a review
title_short Vegetative roughness estimation for hydraulic modelling: a review
title_full Vegetative roughness estimation for hydraulic modelling: a review
title_fullStr Vegetative roughness estimation for hydraulic modelling: a review
title_full_unstemmed Vegetative roughness estimation for hydraulic modelling: a review
title_sort vegetative roughness estimation for hydraulic modelling: a review
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/35981/
http://jrcee.com/archive/all/archive_list.php?issue=1&vol=2
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