The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments
Environmental 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 approa...
| Autores principales: | , , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
International Water Management Institute
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/152492 |
| _version_ | 1855534967641079808 |
|---|---|
| author | Maharaj, U. Harvey, T. A. Pike, T. Singh, K. R. |
| author_browse | Harvey, T. A. Maharaj, U. Pike, T. Singh, K. R. |
| author_facet | Maharaj, U. Harvey, T. A. Pike, T. Singh, K. R. |
| author_sort | Maharaj, U. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Environmental 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. |
| format | Informe técnico |
| id | CGSpace152492 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1524922025-11-24T07:42:35Z The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments Maharaj, U. Harvey, T. A. Pike, T. Singh, K. R. environmental flows assessment hydraulic models modelling rivers habitats unmanned aerial vehicles geographical information systems monitoring digital innovation Environmental 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. 2024-09-26 2024-09-30T14:40:16Z 2024-09-30T14:40:16Z Report https://hdl.handle.net/10568/152492 en Open Access application/pdf International Water Management Institute CGIAR Initiative on Digital Innovation Maharaj, 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. |
| spellingShingle | environmental flows assessment hydraulic models modelling rivers habitats unmanned aerial vehicles geographical information systems monitoring digital innovation Maharaj, U. Harvey, T. A. Pike, T. Singh, K. R. The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments |
| title | The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments |
| title_full | The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments |
| title_fullStr | The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments |
| title_full_unstemmed | The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments |
| title_short | The use of UAV-derived bathymetric data for hydraulic modelling to inform e-flow assessments |
| title_sort | use of uav derived bathymetric data for hydraulic modelling to inform e flow assessments |
| topic | environmental flows assessment hydraulic models modelling rivers habitats unmanned aerial vehicles geographical information systems monitoring digital innovation |
| url | https://hdl.handle.net/10568/152492 |
| work_keys_str_mv | AT maharaju theuseofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT harveyta theuseofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT piket theuseofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT singhkr theuseofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT maharaju useofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT harveyta useofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT piket useofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments AT singhkr useofuavderivedbathymetricdataforhydraulicmodellingtoinformeflowassessments |