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Includes abstract.
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| Format: | Thesis |
| Language: | English |
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School of Architecture, Planning and Geomatics
2014
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| _version_ | 1867613309887315968 |
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| access_status_str | Open Access |
| author | Muvhali, Peter Sonndi |
| author2 | Smit, Julian |
| author_browse | Muvhali, Peter Sonndi Smit, Julian |
| author_facet | Smit, Julian Muvhali, Peter Sonndi |
| author_sort | Muvhali, Peter Sonndi |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5590 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:06.076Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| 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:11427/5590 Using sensor web technologies to help predict and monitor floods in urban areas Muvhali, Peter Sonndi Smit, Julian Mcfferen, Graeme Architecture, Planning and Geomatics Includes abstract. Includes bibliographical references. Since flooding is worldwide one of the most common natural disasters, a number of flood prediction and monitoring approaches have been used. A lot of research has been conducted on the prediction and monitoring of floods by using hydrological models. The problem is that current hydrological models do not offer Disaster Management officials or township residents with timely data and information. In South Africa, possible flood warnings are usually communicated by Disaster Management officials using traditional approaches such as loudspeakers, radio and Television (TV). Making calls to warn residents about the possible occurrence of floods by using such means are, however, neither sufficient nor effective. As the result of improved communication, sensor, software and computing capabilities, the use of sensor networks and sensor web for predicting and monitoring environment have been considered in recent years. In order for sensor data such as sensor measurements, sensor descriptions and alerts to be integrated, the Open Geospatial Consortium (OGC) introduced the Sensor Web enablement (SWE) standards and suggested different specifications with respect to the geospatial sensor web. The first implementation of the sensor web framework is available. In this research, the results of using the sensor web technologies for predicting and monitoring floods in the urban areas are presented. The aim of this research project is to illustrate how the sensor web technology can help in the prediction and monitoring of floods in the urban areas, particularly in the Alexandra Township (Greater Johannesburg) which has experienced floods each and every year. The focus of this research is on the incorporation of the sensor data into the sensor web technology. The data used as input to sensor web and the hydrological model was historical rainfall data from the South African Weather Service (SAWS). Shuttle Radar Topography Mission (SRTM) free data from the internet was also used in this research. 2014-07-31T11:37:49Z 2014-07-31T11:37:49Z 2013 Master Thesis Masters MSc http://hdl.handle.net/11427/5590 eng application/pdf School of Architecture, Planning and Geomatics Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Architecture, Planning and Geomatics Muvhali, Peter Sonndi Using sensor web technologies to help predict and monitor floods in urban areas |
| thesis_degree_str | Master's |
| title | Using sensor web technologies to help predict and monitor floods in urban areas |
| title_full | Using sensor web technologies to help predict and monitor floods in urban areas |
| title_fullStr | Using sensor web technologies to help predict and monitor floods in urban areas |
| title_full_unstemmed | Using sensor web technologies to help predict and monitor floods in urban areas |
| title_short | Using sensor web technologies to help predict and monitor floods in urban areas |
| title_sort | using sensor web technologies to help predict and monitor floods in urban areas |
| topic | Architecture, Planning and Geomatics |
| url | http://hdl.handle.net/11427/5590 |
| work_keys_str_mv | AT muvhalipetersonndi usingsensorwebtechnologiestohelppredictandmonitorfloodsinurbanareas |