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Using sensor web technologies to help predict and monitor floods in urban areas

Includes abstract.

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Bibliographic Details
Main Author: Muvhali, Peter Sonndi
Other Authors: Smit, Julian
Format: Thesis
Language:English
Published: School of Architecture, Planning and Geomatics 2014
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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