Selection of Impactful Environmental Parameters Using an Integrated Community Feedback System for Environmental Assessment

  • Abstract
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  • Abstract

    Environmental assessment (EA) of metropolitan areas is an appropriate method for evaluating civil and environmental engineering problems. Assessing and identifying the environmental pollution in metropolitan areas is of crucial interest, as these are used in decision making for minimizing environmental pollution. The objective of this study is to select most impactful environmental parameters using an integrated feedback to improve decision-making process and management in metropolitan areas for an environmental assessment process. The study started with 71 environmental parameters that were selected from literature study on the basis of the environmental effects on the metropolis. Subsequently, questionnaires were prepared to select the most important (controlling) environmental parameters that affect the metropolis. These questionnaires were distributed to 300 respondents of three groups. Feedback obtained was from 110 respondents (80 citizens, 11 managers, and 19 experts) in metropolitan Tehran, Iran. Statistical Package for Social Science (SPSS) software was then used to analyze the collected data. Twenty-three environmental parameters were selected based on their effects towards the metropolitan areas as a result of the SPSS analysis. These parameters comprised of 3 physical and biological (PB) parameters, 7 operational and technical (OT) parameters, 9 social and cultural (SC) parameters, and 4 economic and political (EP) parameters.



  • Keywords

    Community feedback; environmental assessment; environmental parameters; urban pollution

  • References

      [1] Bryant MM, (2006), Urban landscape conservation and the role of ecological greenways at local and metropolitan scales. Landscape and Urban Planning 76(1): 23-44.

      [2] Lynam T, De Jong W, Sheil D, Kusumanto T & Evans K, (2007). A review of tools for incorporating community knowledge, preferences, and values into decision making in natural resources management. Ecology and Society 12, 1-5.

      [3] Cho HS. & Choi MJ, (2014), Effects of compact urban development on air pollution: empirical evidence from Korea. Sustainability 6(9): 5968-5982.

      [4] Zhao X, (2012). Asian dust detection from the satellite observations of moderate resolution imaging spectroradiometer (Modis). Aerosol Air Qual. Res 12, 1073-1080.

      [5] Sehatkashani S, Kamali G, Vazifedoust M & Bidokhti AA, (2013). detection of day-time dust clouds over the west and southwestern lands of Iran using dust indices derived from modis images. 87 214.

      [6] Kumar C, (2013), Identification of parameters for urban and regional level infrastructure development. Available at SSRN 2370410.

      [7] Button CD (2013), Coastal vulnerability and climate change in Australia: public risk perceptions and adaptation to climate change in non-metropolitan coastal communities.

      [8] Okafor NA (2008), Evaluation of the effectiveness of the screening criteria developed by the institute of environmental management and assessment (IEMA) for review of environmental impact statements, submitted for Accreditation into IEMA Register of Impact Assessors. Tesis Citeseer.

      [9] Sovacool BK & Valentine SV (2012). The national politics of nuclear power: economics, security, and governance. Routledge, 5, 105-110.

      [10] Baumgardner D, Grutter M, Allan J, Ochoa C, Rappenglueck B, Russell, L. & Arnott, P. (2009), Physical and chemical properties of the regional mixed layer of mexico's megapolis. atmospheric chemistry and physics, 9(15), 5711-5727.

      [11] Liu KF & Lai JH, (2009), Decision-support for environmental impact assessment: a hybrid approach using fuzzy logic and fuzzy analytic network process. Expert Systems with Applications 36(3): 5119-5136.

      [12] Morón AB, Calvo-Flores MD, Ramos JM & Almohano, MP, (2009), AIEIA: software for fuzzy environmental impact assessment. Expert Systems with Applications 36(5): 9135-9149.

      [13] Peche R & Rodríguez E, (2011). Environmental impact assessment by means of a procedure based on fuzzy logic: a practical application. Environmental Impact Assessment Review 31(2): 87-96.

      [14] Erftemeijer PL. & Lewis RRR, (2006), Environmental impacts of dredging on seagrasses: A Review. Marine Pollution Bulletin 52(12): 1553-1572.

      [15] Naser HA, (2015), The role of environmental impact assessment in protecting coastal and marine environments in rapidly developing islands: the case of Bahrain, Arabian Gulf. Ocean & Coastal Management 104(159-169).




Article ID: 24878
DOI: 10.14419/ijet.v8i1.2.24878

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