An alternative approach to estimate river cross-sections using LIDAR-based digital elevation model

Anees, Mohd Talha and Abu Bakar, Ahmad Farid and Khan, Mohammad Muqtada Ali and Syakir, Muhammad and Abdullah, K. and Nordin, Mohd Nawawi Mohd and Abdelrahman, Kamal and Eldosouky, Ahmed M. and Andras, Peter and Yahaya, Nasehir Khan Bin E. M. and Johar, Zubaidi and Omar, Fatehah Mohd and Kadir, Mohd Omar Abdul (2022) An alternative approach to estimate river cross-sections using LIDAR-based digital elevation model. Hydrological Sciences Journal, 67 (6). pp. 996-1010. ISSN 0262-6667, DOI https://doi.org/10.1080/02626667.2022.2053129.

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Abstract

Topographic LIDAR can be used to estimate elevation values for dry areas down to the river water level during the extraction of river cross-sections (XS). However, LIDAR cannot accurately predict the submerged topography, which causes uncertainty in river XS area estimation. This uncertainty affects the channel water level and flood inundation depth estimation in in situ sparse data. Therefore, an alternative approach is presented to estimate unknown submerged topography (UST) using topographic LIDAR. The one dimension/two dimension Hydrologic Engineering Center River Analysis System (1D/2D HEC-RAS) model is used to simulate the estimated river XS with the help of in situ river water level and flow data which is later validated using in situ data. The results show that the proposed approach accurately estimates water level (error >0.5 m), channel flow areas, and floodplain water depths. Notably, the extent of the estimated floodplain overflow by UST models was in 94% agreement with the real XS.

Item Type: Article
Funders: Institut Pengurusan dan Pemantauan Penyelidikan, Universiti Malaya (GPF017B-2018), King Saud University (RSP-2021/351), Universiti Sains Malaysia (1001/PTEKIND/8011021)
Uncontrolled Keywords: Cross-section shapes; Digital terrain model; River cross-sections; Cross-sectional river area; Water level; Hydrological modelling
Subjects: Q Science > QE Geology
Divisions: Faculty of Science > Department of Geology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 15 Sep 2023 08:15
Last Modified: 15 Sep 2023 08:15
URI: http://eprints.um.edu.my/id/eprint/42874

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