The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments

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cg.contributor.affiliationGroundTruth, Hilton, South Africa
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeDigital Innovation
cg.coverage.regionSouthern Africa
cg.coverage.subregionOlifants River
cg.identifier.iwmilibraryH053126
cg.identifier.projectIWMI-C-0016
cg.placeColombo, Sri Lanka
dc.contributor.authorMaharaj, U.
dc.contributor.authorHarvey, T. A.
dc.contributor.authorPike, T.
dc.contributor.authorSingh, K. R.
dc.date.accessioned2024-09-30T14:40:16Zen
dc.date.available2024-09-30T14:40:16Zen
dc.identifier.urihttps://hdl.handle.net/10568/152492
dc.titleThe use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessmentsen
dcterms.abstractEnvironmental flows (E-flows) are crucial for maintaining healthy river ecosystems as an essential part of water resources management, but traditional E-flow assessments that include modelling of hydraulic habitats, often rely on limited, single cross-section data. This study presents a novel approach integrating Sound Navigation and Ranging (SoNAR) and Light Detection and Ranging (LiDAR) data collected using an Unmanned Aerial Vehicle (UAV) to create a high-resolution Digital Terrain Model (DTM) and was carried out for a section of the Olifants River in Southern Africa. The integrated DTM enabled detailed 2-Dimensional (2D) hydraulic modelling using Hydraulic Engineering Centre River Analysis System (HEC-RAS), with the resulting depth and velocity outputs used to visualise the HABitat FLOw (HABFLO) fish and invertebrate habitat classes across the entire reach that was modelled. Additionally, a habitat distribution calculator was developed to determine habitat distributions based on river flows. The longitudinal analysis of habitat distributions for a section of the river revealed variations in habitat class distributions that a single cross-section-based analysis would not highlight, thus providing a more comprehensive understanding of habitat dynamics under varying flow conditions. The successful merging of SoNAR and LiDAR data demonstrates the power of combining UAV-derived remote sensing techniques for characterisation of riverine features. This workflow has the potential to further enhance E-flow assessments, aiding in the development of ecologically sound water management strategies. However, future work should include in-field validation of modelled habitat distributions and the expansion of the methodology to larger areas.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationMaharaj, U.; Harvey, T. A.; Pike, T.; Singh, K. R. 2024. The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 24p.en
dcterms.extent24p.
dcterms.issued2024-09-26
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Water Management Institute
dcterms.publisherCGIAR Initiative on Digital Innovation
dcterms.subjectenvironmental flowsen
dcterms.subjectassessmenten
dcterms.subjecthydraulic modelsen
dcterms.subjectmodellingen
dcterms.subjectriversen
dcterms.subjecthabitatsen
dcterms.subjectunmanned aerial vehiclesen
dcterms.subjectgeographical information systemsen
dcterms.subjectmonitoringen
dcterms.subjectdigital innovationen
dcterms.typeReport

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