alexa Accra Flood Modelling through Application of Geographic Information Systems (GIS), Remote Sensing Techniques and Analytical Hierarchy Process
ISSN: 2469-4134

Journal of Remote Sensing & GIS
Open Access

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Research Article

Accra Flood Modelling through Application of Geographic Information Systems (GIS), Remote Sensing Techniques and Analytical Hierarchy Process

Clement Kwang1* and Edward Matthew Osei2

1Remote Sensing and GIS Department, Space and Earth Institute, Anadolu University, Eskisehir, Turkey

2Geomatic Department, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

*Corresponding Author:
Clement Kwang
Remote Sensing and GIS Department
Space and Earth Institute
Anadolu University, Eskisehir, Turkey
Tel: 905459160670
E-mail: [email protected]

Received date: February 08, 2017; Accepted date: February 23, 2017; Published date: February 25, 2017

Citation: Kwang C, Osei EM (2017) Accra Flood Modelling through Application of Geographic Information Systems (GIS), Remote Sensing Techniques and Analytical Hierarchy Process. J Remote Sensing & GIS 6:191. doi:10.4172/2469-4134.1000191

Copyright: © 2017 Kwang C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Urban Flooding is one of world’s problems in recent times because of its frequent occurrence which results in loss of lives and properties. The first step in flood management is the development of hazard maps. Flood hazard mapping forms the foundation of the decision-making process by providing information which is essential to the understanding of nature and characteristics of flooding to risk community or city. Flood modelling is a complex problem and therefore a lot of factors should be considered before the final map showing flood prone areas are produced. The degree at which each of these factors contributes to flooding must be weighted by using multi decision process before incorporating them in an integrating environment such as GIS to produce the final prediction map. In this study, this approach was employed by using GIS and Analytical Hierarchy Process (AHP). The layers that were used in the flooding included; Slope, Drainage basin, Rainfall, Soil, Land Use and Digital Terrain Model (DEM). The result obtained was more accurate as compared to the previous works done on Accra flooding. This is because more than one contributing factors were considered and at the same time, weights were assigned to these contributing factors before overlaying them to produce the final map. The previously occurred flood places were all found in the high possibilities flooding zones. The flood prone map indicates that almost the whole area of Accra and Greater Accra Region has a possibility of flooding. However, the riskiest areas are Accra Metropolitan, Ledzokuku Krowor, Ga West and Ga South.

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