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Australasian Journal of Water Resources Volume 27, 2023 - Issue 1: Shared risks to water in the Murray-Darling Basin
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A Scaled Physical Model Study of Culvert Blockage Exploring Complex Relationships Between Influential Factors

Umair Iqbala SMART Infrastructure Facility, University of Wollongong, Wollongong, AustraliaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0894-0489View further author information
ORCID Icon,
Johan Barthelemya SMART Infrastructure Facility, University of Wollongong, Wollongong, AustraliaORCID Iconhttps://orcid.org/0000-0002-7800-5309View further author information
ORCID Icon,
Pascal Pereza SMART Infrastructure Facility, University of Wollongong, Wollongong, AustraliaORCID Iconhttps://orcid.org/0000-0001-6151-6228View further author information
ORCID Icon,
Jason Cooperb Wollongong City Council (WCC), Wollongong, AustraliaView further author information
&
Wanqing Lic School of Computing and Information Technology, University of Wollongong, Wollongong, AustraliaORCID Iconhttps://orcid.org/0000-0002-4427-2687View further author information
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Pages 191-204 | Received 27 Oct 2020, Accepted 01 Aug 2021, Published online: 14 Nov 2021

Citations (6)

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Read on this site (3)

Azam Miranzadeh, Alireza Keshavarzi & Hossein Hamidifar. (2023) Blockage of box-shaped and circular culverts under flood event conditions: a laboratory investigation. International Journal of River Basin Management 21:4, pages 607-616.
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Umair Iqbal, Muhammad Zain Bin Riaz, Johan Barthelemy & Pascal Perez. (2023) Quantification of visual blockage at culverts using deep learning based computer vision models. Urban Water Journal 20:1, pages 26-38.
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Umair Iqbal, Muhammad Zain Bin Riaz, Johan Barthelemy & Pascal Perez. (2022) Prediction of Hydraulic Blockage at Culverts using Lab Scale Simulated Hydraulic Data. Urban Water Journal 19:7, pages 686-699.
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Articles from other publishers (3)

Umair Iqbal, Johan Barthelemy & Pascal Perez. (2022) Prediction of hydraulic blockage at culverts from a single image using deep learning. Neural Computing and Applications 34:23, pages 21101-21117.
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Umair Iqbal, Muhammad Zain Bin Riaz, Johan Barthelemy, Nathanael Hutchison & Pascal Perez. (2022) Floodborne Objects Type Recognition Using Computer Vision to Mitigate Blockage Originated Floods. Water 14:17, pages 2605.
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Zhengli Yang, Xinyue Yuan, Chao Liu, Ruihua Nie, Tiegang Liu, Xiaoai Dai, Lei Ma, Min Tang, Yina Xu & Heng Lu. (2022) Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods. Remote Sensing 14:14, pages 3313.
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