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Environmental Impact Assessment (EIA) Using Geographical Information System (GIS): An Integrated Land Suitability Analysis of Filling Stations

Author

Listed:
  • Nadiatul Nazleen Ajman

    (Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja 86400, Malaysia)

  • Noor Yasmin Zainun

    (Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja 86400, Malaysia)

  • Noralfishah Sulaiman

    (Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja 86400, Malaysia)

  • Shabir Hussain Khahro

    (Department of Engineering Management, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Farid Ezanee Mohamed Ghazali

    (School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Malaysia)

  • Mohd Hilton Ahmad

    (Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja 86400, Malaysia)

Abstract

A stable methodology for conserving the natural environment has been a concern for developing countries. The fast-paced growth of urbanization generated significant demand for automobiles, leading to greater utilization of fuel. The consumption of fuel is fulfilled by the Filling Station (FS). An FS is undoubtedly an important facility, but it is reported that it has high potential for degradation of natural resources, pollution problems, environmental degradation, and hydrological, geological, and socio-economic hazards, and therefore the site selection of such facilities is an essential problem. The traditional approach utilizes EIA assessments and GIS separately and existing models lacks integration. Thus, this study provides an integrated GIS-based land suitability modeling using EIA assessments, and the Analytic Hierarchy Process (AHP) has been used as key land use feature prioritization for the appropriate selection of FS locations. A case study is also carried out to assess the precision of the suggested model. The findings indicate that more than 73% of the present FS are in the acceptable region, while 27% of the FS are not in the adequate region using the local code. Furthermore, 58% of the present FS are in the acceptable region, while 42% of current FS are not in the adequate region using the international code. The findings of the comparative code analysis show a difference in the codes. The international code looks safer compared to the local code because it has higher buffer distances. This model will assist decision-makers in making better decisions for such land suitability problems for filling stations, and this model can also be extended to other facilities by some modifications in the filters and data layers of the model.

Suggested Citation

  • Nadiatul Nazleen Ajman & Noor Yasmin Zainun & Noralfishah Sulaiman & Shabir Hussain Khahro & Farid Ezanee Mohamed Ghazali & Mohd Hilton Ahmad, 2021. "Environmental Impact Assessment (EIA) Using Geographical Information System (GIS): An Integrated Land Suitability Analysis of Filling Stations," Sustainability, MDPI, vol. 13(17), pages 1-14, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9859-:d:627764
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    References listed on IDEAS

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    1. de Siqueira Campos Boclin, Andre & de Mello, Renato, 2006. "A decision support method for environmental impact assessment using a fuzzy logic approach," Ecological Economics, Elsevier, vol. 58(1), pages 170-181, June.
    2. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    3. Arán Carrión, J. & Espín Estrella, A. & Aznar Dols, F. & Zamorano Toro, M. & Rodríguez, M. & Ramos Ridao, A., 2008. "Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2358-2380, December.
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    1. Katarína Mäkká & Katarína Kampová & Tomáš Loveček & Katarína Petrlová, 2021. "An Environmental Risk Assessment of Filling Stations Using the Principles of Security Management. A Case Study in the Slovak Republic," Sustainability, MDPI, vol. 13(22), pages 1-15, November.

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