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Implementing drone as flood inundation laboratory measurement tool

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Main Authors: Muhammad Azraie, Abdul Kadir, Ismail, Abustan, Mohd Firdaus, Abdul Razak, Noorul Hudai, Abdullah, Pingping, Luo
Other Authors: mazraie@uthm.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Drone image
Flood inundation
Hydraulic model
Laboratory experiment
Sungai Bertam
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73477
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spelling my.unimap-734772022-01-18T07:32:30Z Implementing drone as flood inundation laboratory measurement tool Muhammad Azraie, Abdul Kadir Ismail, Abustan Mohd Firdaus, Abdul Razak Noorul Hudai, Abdullah Pingping, Luo mazraie@uthm.edu.my Drone image Flood inundation Hydraulic model Laboratory experiment Sungai Bertam Link to publisher's homepage at http://ijneam.unimap.edu.my Interest in flood inundation study keep increasing due to the increment in the flood hazard around the world. Although the main interest is numerical approach, hydraulic model experiment is still needed. This is because the numerical approach has limitation while the hydraulic model has the capability to replicate the actual condition of flood. To increase the accuracy between hydraulic model and actual site, a large-scale hydraulic model is one of the solutions. However, using a large-scale hydraulic model has drawback, where the measurement of the flood inundation processes is more difficult due its size and duration. Therefore, a fast and accurate measurement approach is required to collect the flood inundation data, especially in terms of flood extent. This study proposed a drone image method to measure the flood extent in a large-scale hydraulic model experiment of flood inundation. A total size of 23 m × 11.5 m hydraulic model were built in a laboratory to replicate the Sungai Bertam with scale 1/25. The ground measurement and drone image were used to measure the flood inundation to determine the capabilities of the drone image. The results demonstrate the efficacy of the proposed approach. 2022-01-18T07:32:30Z 2022-01-18T07:32:30Z 2021-08 Article International Journal of Nanoelectronics and Materials, vol.14(Special Issue), 2021, pages 21-28 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73477 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Drone image
Flood inundation
Hydraulic model
Laboratory experiment
Sungai Bertam
spellingShingle Drone image
Flood inundation
Hydraulic model
Laboratory experiment
Sungai Bertam
Muhammad Azraie, Abdul Kadir
Ismail, Abustan
Mohd Firdaus, Abdul Razak
Noorul Hudai, Abdullah
Pingping, Luo
Implementing drone as flood inundation laboratory measurement tool
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 mazraie@uthm.edu.my
author_facet mazraie@uthm.edu.my
Muhammad Azraie, Abdul Kadir
Ismail, Abustan
Mohd Firdaus, Abdul Razak
Noorul Hudai, Abdullah
Pingping, Luo
format Article
author Muhammad Azraie, Abdul Kadir
Ismail, Abustan
Mohd Firdaus, Abdul Razak
Noorul Hudai, Abdullah
Pingping, Luo
author_sort Muhammad Azraie, Abdul Kadir
title Implementing drone as flood inundation laboratory measurement tool
title_short Implementing drone as flood inundation laboratory measurement tool
title_full Implementing drone as flood inundation laboratory measurement tool
title_fullStr Implementing drone as flood inundation laboratory measurement tool
title_full_unstemmed Implementing drone as flood inundation laboratory measurement tool
title_sort implementing drone as flood inundation laboratory measurement tool
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73477
_version_ 1729704639015682048
score 13.219503

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