Nuclear power plant locating by WLC & GIS (case study: Iran, hormozgan province)

  • Authors

    • Hamidreza Jafari professor of Tehran university
    • Saeed Karimi university of tehran
    • Mehrdad Nahavandchi University of Tehran
    • Jahanbakhsh Balist university of tehran
    2015-02-09
    https://doi.org/10.14419/ijbas.v4i1.3733
  • GIS, Nuclear Power Plant, Site Selection, WLC Method, Hormozgan Province.
  • Abstract

    Nuclear Power, in this current world, is one of the principle sources of energy world-wide. Electricity demand has to be met and nuclear power has the capacity needed for heat production in order to run the large turbines that generate electricity. Though this kind of power generation produces maximum power, it is a non-renewable source of energy and its effect on the environment is not predictable. Actual impact on the environment is very less, if the locating is carefully done. Also, nuclear power plant locating is an important action in environmental protection. Difference criteria should be paid attention in site selection, so using of special methods are necessary to assimilate the criteria. In this research, GIS software and Analytical Hierarchy Process were used. Weighted Linear Combination (WLC) is a relatively new MCDA which has presented more flexible and reliable results for site selection. In this paper, first of all, maps were built in considering to environmental factors, in next step, each layer, was graded. Low grade showed non-coordination or less coordination and high grade showed more coordination. Assimilate of graded map in WLC process, separates area into unsuitable, relative unsuitable, moderately suitable and suitable parts. Suitable parts can have high priority in decision making and also moderately suitable parts can have high priority for development projects in future. This paper reviews the application of WLC method in a GIS environment to select the optimum sites for nuclear power plants using case study in Hormozgan Province.

  • References

    1. [1] Abdel-latif., Ahmed, Comparing Different Spatial Decision Making Models Performance in Siting a Nuclear Power Plant, KSA, 2008

      [2] Carver S J 1991 Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information Systems 5: 321±339

      [3] Eastman J R, Kyem P A K, Toledano J, and Jin W 1993 GIS and Decision Making. Geneva, UNITAR

      [4] Guideline for site selection for Nuclear Plant, Atomic Energy Licencing Boar

      [5] Heywood I, Oliver J and Tomlinson S 1995 Building an exploratory multi-criteria modelling environment for spatial decision support. In Fisher P (ed) Innovations in GIS 2. London, Taylor and Francis: 127±36

      [6] Hopkins L 1977 Methods for generating land suitability maps: a comparative evaluation. Journal for American Institute of Planners 34: 19±29

      [7] IAEA,(2007), Considerations to launch a nuclear power programme, IAEA, Vienna.

      [8] Iranian Census Center, National Population and Housing Census, 2011.

      [9] Malczewski J, 2006, Ordered weighted averaging with fuzzy quantifiers: GIS-based multi criteria evaluation for land-use suitability analysis. International Journal of Applied Earth Observation and Geoinformation 8, 270-277.

      [10] Malczewski J 1999 GIS and Multicriteria Decision Analysis. New York, John Wiley and Sons Massam B H 1988 Multi-criteria decision making (MCDM) techniques in planning. Progress in Planning 30: 1±84

      [11] Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98.

      [12] Tomlin C D 1990 Geographical Information Systems and Cartographic Modeling. Englewood Cliffs, NJ, Prentice-Hall.

      [13] http://www.world-nuclear.org/info/Country-Profiles/Countries-G-N/Iran/.

  • Downloads

  • How to Cite

    Jafari, H., Karimi, S., Nahavandchi, M., & Balist, J. (2015). Nuclear power plant locating by WLC & GIS (case study: Iran, hormozgan province). International Journal of Basic and Applied Sciences, 4(1), 132-139. https://doi.org/10.14419/ijbas.v4i1.3733

    Received date: 2014-10-17

    Accepted date: 2014-11-09

    Published date: 2015-02-09