• Title of article

    Normalization and determining optimal levels of environmental indicators - case study: National Iranian Oil Companies (sustainable development approach)

  • Author/Authors

    Erfani ، Zaynab Department of Environmental Engineering - Faculty of Marine Science Technology - Islamic Azad University, North Tehran Branch , Sadatipour ، Mohammad Taghi Department of Coastal Approach with Sustainable Attitude - Faculty of Marine Science and Technology - Islamic Azad University, North Tehran Branch , Ghaforian ، Hossein Department of Environmental Engineering, - Faculty of Marine Science Technology - Islamic Azad University, North Tehran Branch , Alaei ، Ebrahim Department of Ecology - Faculty of Biology - University of Tehran

  • Pages
    14
  • From page
    655
  • To page
    668
  • Abstract
    Most of Oil companies’ pollutants have a cumulative nature and trustee agencies have not defined any standard levels in Iran. This paper deals with the determination of the extent of overlap between environmental indicators in the Iranian National Oil Companies with other similar major oil companies and organizations in the world and how sustainable development could be achieved. To achieve sustainable development it would be better to use the optimal level of these indicators that can be determined using normalization methods. For this purpose, three-year environmental performance data from 15 upstream companies and subsidiaries were considered. For calculations of optimal levels, oil-producing companies were selected and data were normalized at the production scale. Determining the overall levels provided the knowledge of achieving optimal marginal levels and critical points. Finally, the data were standardized through the maximum and minimum normalization method, based on the average of marginal overalls.
  • Keywords
    Environmental Indicators , National Iranian Oil Company (NIOC) , Sustainable Development , Overall levels , Optimal marginal levels
  • Journal title
    Research in Marine Sciences
  • Record number

    2494627