LAND SUITABILITY SCENARIOS FOR ARID COASTAL PLAINS USING GIS MODELING: SOUTHWESTERN SINAI COASTAL PLAIN, EGYPT

Journal Of Urban And Environmental Engineering

Endereço:
UFPB/CT
João Pessoa / PB
Site: http://www.journal-uee.org
Telefone: (83)3216-7684
ISSN: 1982-3932
Editor Chefe: Celso Augusto Guimarães Santos
Início Publicação: 31/12/2006
Periodicidade: Semestral
Área de Estudo: Engenharia civil

LAND SUITABILITY SCENARIOS FOR ARID COASTAL PLAINS USING GIS MODELING: SOUTHWESTERN SINAI COASTAL PLAIN, EGYPT

Ano: 2009 | Volume: 3 | Número: 2
Autores: Ahmed Wahid, Marguerite Madden, Fikry Khalaf, Ibtehal Fathy
Autor Correspondente: Ahmed Wahid | awahid@lycos.com

Palavras-chave: gis, remote sensing, environment, egypt

Resumos Cadastrados

Resumo Inglês:

Site selection analysis was carried out to find the best suitable lands for development activities in an example of promising coastal plains, southwestern Sinai, Egypt. Two GIS models were developed to represent two scenarios of land use suitability in the study area using GIS Multi Criteria Analysis Modeling. The factors contributed in the analysis are the Topography, Land cover, Existing Land use, Flash flood index, Drainage lines and Water points. The first scenario was to classify the area according to various gradual ranges of suitability. According to this scenario, the area is classified into five classes of suitability. The percentage of suitability values are 51.16, 6.13, 22.32, 18.49 and 1.89% for unsuitable, least suitable, low suitable, suitable and high suitable, respectively. The second scenario is developed for a particular kind of land use planning; tourism and recreation projects. The suitability map of this scenario was classified into five values. Unsuitable areas represent 51.18% of the study area, least suitable 16.67%, low suitable 22.85%, suitable 8.61%, and high suitable 0.68%. The best area for locating development projects is the area surrounding El-Tor City and close to the coast. This area could be an urban extension of El-Tor City with more economical and environmental management.