Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Riverine flooding using GIS and remote sensing
Floods are caused by extreme meteorological and hydrological changes that are influenced directly or indirectly by human activities within the environment. The flood trends show that floods will reoccur and shall continue to affect the livelihoods, property, agriculture and the surrounding environme...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
School of Architecture, Planning and Geomatics
2020
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613162664099840 |
|---|---|
| access_status_str | Open Access |
| author | Dambe, Natalia |
| author2 | Smit, Julian |
| author_browse | Dambe, Natalia Smit, Julian |
| author_facet | Smit, Julian Dambe, Natalia |
| author_sort | Dambe, Natalia |
| collection | Thesis |
| description | Floods are caused by extreme meteorological and hydrological changes that are influenced directly or indirectly by human activities within the environment. The flood trends show that floods will reoccur and shall continue to affect the livelihoods, property, agriculture and the surrounding environment. This research has analyzed the riverine flood by integrating remote sensing, Geographical Information Systems (GIS), and hydraulic and/or hydrological modeling, to develop informed flood mapping for flood risk management. The application of Hydrological Engineering Center River Analysis System (HEC RAS) and HEC HMS models, developed by the USA Hydrologic Engineering Center of the Army Corps of Engineers in a data-poor environment of a developing country were successful, as a flood modeling tools in early warning systems and land use planning. The methodology involved data collection, preparation, and model simulation using 30m Shuttle Radar Topographic Mission (SRTM) Digital Elevation Model (DEM) as a critical data input of HEC RAS model. The findings showed that modeling using HEC-RAS and HEC HMS models in a data-poor environment requires intensive data enhancements and adjustments; multiple utilization of open sources data; carrying out multiple model computation iterations and calibration; multiple field observation, which may be constrained with time and resources to get reasonable output. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/31738 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:45.395Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | School of Architecture, Planning and Geomatics |
| publisherStr | School of Architecture, Planning and Geomatics |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/31738 Riverine flooding using GIS and remote sensing Dambe, Natalia Smit, Julian Hydrological modeling hydraulic modeling flood mapping Geographical Information Systems Remote Sensing Floods are caused by extreme meteorological and hydrological changes that are influenced directly or indirectly by human activities within the environment. The flood trends show that floods will reoccur and shall continue to affect the livelihoods, property, agriculture and the surrounding environment. This research has analyzed the riverine flood by integrating remote sensing, Geographical Information Systems (GIS), and hydraulic and/or hydrological modeling, to develop informed flood mapping for flood risk management. The application of Hydrological Engineering Center River Analysis System (HEC RAS) and HEC HMS models, developed by the USA Hydrologic Engineering Center of the Army Corps of Engineers in a data-poor environment of a developing country were successful, as a flood modeling tools in early warning systems and land use planning. The methodology involved data collection, preparation, and model simulation using 30m Shuttle Radar Topographic Mission (SRTM) Digital Elevation Model (DEM) as a critical data input of HEC RAS model. The findings showed that modeling using HEC-RAS and HEC HMS models in a data-poor environment requires intensive data enhancements and adjustments; multiple utilization of open sources data; carrying out multiple model computation iterations and calibration; multiple field observation, which may be constrained with time and resources to get reasonable output. 2020-04-30T15:34:07Z 2020-04-30T15:34:07Z 2020 2020-04-30T13:59:58Z Master Thesis Masters MPhil https://hdl.handle.net/11427/31738 eng application/pdf School of Architecture, Planning and Geomatics Faculty of Engineering and the Built Environment |
| spellingShingle | Hydrological modeling hydraulic modeling flood mapping Geographical Information Systems Remote Sensing Dambe, Natalia Riverine flooding using GIS and remote sensing |
| thesis_degree_str | Master's |
| title | Riverine flooding using GIS and remote sensing |
| title_full | Riverine flooding using GIS and remote sensing |
| title_fullStr | Riverine flooding using GIS and remote sensing |
| title_full_unstemmed | Riverine flooding using GIS and remote sensing |
| title_short | Riverine flooding using GIS and remote sensing |
| title_sort | riverine flooding using gis and remote sensing |
| topic | Hydrological modeling hydraulic modeling flood mapping Geographical Information Systems Remote Sensing |
| url | https://hdl.handle.net/11427/31738 |
| work_keys_str_mv | AT dambenatalia riverinefloodingusinggisandremotesensing |