Resource-Based Zoning Map for Sustainable Industrial Development in North Sinai Using Remote Sensing and Multicriteria Evaluation

Resource-Based Zoning Map for Sustainable Industrial Development in North Sinai Using Remote Sensing and Multicriteria Evaluation

H.A. EFFAT

Division of Environmental Studies and Land Use, National Authority for Remote Sensing and Space Sciences, NARSS, Cairo, Egypt

Page: 
119–134
|
DOI: 
https://doi.org/10.2495/SDP-V9-N1-119–134
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

Due to rapid urbanization in Egypt, the need for job creation and redistribution of population became a top priority for the Egyptian government. Creating infrastructure and new industrial zones in Sinai Peninsula can participate in solving the problem. Geographic Information System (GIS) and Spatial Multicriteria Evaluation (SMCE) have been widely used to analyze the land utilization based on the land’s potentials and constraints. Using Shuttle Radar Topography Mission (SRTM) digital elevation model, meteorological data and various land use information, a holistic approach involving generation of thematic maps for two themes, natural resources theme and a least-cost theme, was adopted. Data such as accessibility, soil type, land cover, utilities and other ancillary information was employed to arrive at a locale-specific prescription for an industrial land use strategy. Analytical hierarchy process was conducted to investigate the resource-based suitability while minimizing cost of development using various spatial data. Expert knowledge was used to weigh factors within the natural resources theme based on three development objectives (scenarios). Running the weighted overlay model for each of the three objectives, three suitability index maps were produced. Potential sites for developing new industrial zones were identified based on the high suitability values for each scenario. Results highlight a good opportunity for developing the middle zones of Sinai (El Hassana and Nekhel divisions) in addition to the coastal belt.

Keywords: 

Egypt, GIS, multicriteria evaluation, natural resources, remote sensing, SRTM, zoning map

  References

[1] Steiner, F., McSherry, L. & Cohen, J., Land suitability analysis for the Upper Gila River Watershed. Landscape and Urban Planning, 50, pp. 199–214, 2000. doi: http://dx.doi. org/10.1016/S0169-2046(00)00093-1

[2] Jiang, H. & Eastman, R., Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographic Information Science, 14, pp. 173–184, 2000. doi: http:// dx.doi.org/10.1080/136588100240903

[3] Stoms, D., McDonald, J.M. & Davis, F.W., Fuzzy assessment of land suitability for scien-tific research reserves. Environmental Management, 29, pp. 545–558, 2002. doi: http://dx.doi. org/10.1007/s00267-001-0004-4

[4] Eastman, J.R., Jin, W., Kyem, P.A.K. & Toledano, J., Raster procedures for muli-criteria/multi-objective decisions. Photogrammetric Engineering & Remote Sensing, 61(5), pp. 539–547, 1995.

[5] Bailey, D.T., Development of an Optimal spatial decision-making using approximate reasoning, Doctor of Philosophy thesis submitted to Faculty of Built Environment and Engineering. Queensland University of Technology, 2005.

[6] Malczewski, J., GIS and Multicriteria Decision Analysis, John Wiley: New York, pp. 182–187, 1999.

[7] Svoray, T., Bar, P. & Bannet, T., Urban land-use allocation in a mediterranean ecotone; habitat heterogeneity model incorporated in a GIS using a multi-criteria mechanism. Land-scape and Urban Planning, 72, pp. 337–351, 2005. doi: http://dx.doi.org/10.1016/j.landurb-plan.2004.05.001

[8] Turner, R.K., Bergh, J.C.J.M., Soderqvist, T., Barendregt, A., Straaten, J., Maltby, E. & Ierland, E.C., Landscape and institutional perspectives, ecological-economic analysis of Wetlands: scientific integration for management and policy. Ecological Economics, 35, pp. 7–23, 2000. doi: http://dx.doi.org/10.1016/S0921-8009(00)00164-6

[9] Afgan, N.H., Pilavachib, P.A. & Carvalh, M.G., Multi-criteria evaluation of natural gas resources. Energy Policy, 35, pp. 704–713, 2007. doi: http://dx.doi.org/10.1016/j.enpol.2006.01.015

[10] Jiang, J., Analysis of the Suitable and Low-Cost Sites for Industrial Land Using Multi Criteria Evaluation: A Case of Panzhihua, China. Master’s of Science thesis in Geoinformatics TRITA-GIT EX 07-010. School of Architecture and the Built Environment Royal Institute of Technology (KTH) 100 44: Stockholm, Sweden, 2007.

[11] Eastman, J.R., Kyem, P.A.K. & Toledano, J., A procedure for multiobjective decision making in GIS under conditions of conflicting objectives. In Proceedings of European Conference on Geographical Information Systems, EGIS’93, EGIS Foundation, Utrecht, pp. 438–448, 1993.

[12] Saaty, T.L., The Analytic Hierarchy Process, McGraw-Hill: New York, pp. 20–25, 1980.

[13] Center of Housing and Building Researches, Ministry of Housing, Utilities and Urban Development, Egypt, Mines and quarry map of Egypt, 2007.

[14] Renewable Energy World.com: Renewable Energy News and Information on the Internet. Cited in 4 September 2012: http://www.renewableenergyworld.com/rea/news/article/2010/12/ quick-look-renewable-energy-d evelopment-in-egypt.

[15] Shutle Radar Topography Mission, United States Geological Survey (USGS), cited from: http://seamless.usgs.gov.

[16] French space agency CNES (Centre National d’ etudes Spatiales), SPOT-4, 1998.

[17] Food and Agriculture Organization of the United Nations (FAO). Africover Landcover Web maps accessed 2005.

[18] Military of Survey Department, The Topographic Map of Egypt, scale 1:1000,000, 1995.

[19] Egyptian General Petroleum Corporation, CONOCO-Coral, The geological map of Egypt, Scale 1:500,000, EGPC, Cairo, 1987.

[20] Research Institute for Groundwater (RIGW), National Water Research Center (NWRC). The hydro-geological map of Egypt, scale 1:200,000, 1999.

[21] Mortensen, N.G., Hansen, J.C., Badger, J., Jørgensen, B.H., Hasager, C.B., Georgy Youssef, L., Said Said, U., Abd El-Salam Moussa, A., Akmal Mahmoud, M., El Sayed Yousef, A., Mahmoud Awad, A., Abd-El Raheem Ahmed, M., Sayed, A.M., Hussein Korany, M. & Abd-El Baky Tarad, M., Wind Atlas for Egypt, Measurements and Modeling 1991–2005. New and Renewable Energy Authority, Egyptian Meteorological Authority and Risø National Laboratory. ISBN 87-550-3493-4. 258 pp, 2005.

[22] ESRI Using ArcGIS 9.2 Spatial Analyst. Environmental System Research Institute Inc., Redlands, California, 2006.

[23] ESRI Arc Map, version 9.2, User Manual, ESRI, Redlands, California, 2006.

[24] Suri, M. & Hofierka, J., A new GIS-based solar radiation model and its application to photovoltaic assessments. Transactions in GIS, 8, pp. 175–190, 2004. doi: http://dx.doi.org/ 10.1111/j.1467-9671.2004.00174.x

[25] Saaty, T.L., Scaling methods for priorities in hierarchal structures. Math Psychology, 15, pp. 234–281, 1977. doi: http://dx.doi.org/10.1016/0022-2496(77)90033-5

[26] Eastman, J.R., IDRISI Taiga. Guide to GIS and Image Processing. Clark University. Manual version 16.02, 2009.