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Improving Prediction Accuracy of Socio-Human Relationships in a Small-Scale Desalination Plant

Author

Listed:
  • Latifah Abdul Ghani

    (Faculty of Business, Economic and Social Development, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Ilyanni Syazira Nazaran

    (Faculty of Business, Economic and Social Development, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Nora’aini Ali

    (Faculty of Ocean Engineering, Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia
    Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia)

  • Marlia Mohd Hanafiah

    (Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
    Centre for Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi UKM 43600, Selangor, Malaysia)

Abstract

This study examines who are the social actors in coordinating the environmental hot spots along the process of desalination. The integrated model design of life cycle modeling and Social Network Analysis is evaluated holistically by the inventory of life cycle and actor engagement ratings. Instances of the first small-scale reverse osmosis desalination plant project in Kelantan, Malaysia were used to meet the demands of this study. Environmental performance is measured through the Eco-Indicator 99 method in the Life Cycle Assessment Principles. Meanwhile, the network analysis of the actors’ networks involves stakeholders visualized through the UCINET software. The results show three hotspot points of membrane and brine disposal, the use of electrical energy, and the use of chemicals. The results acknowledged that 87 percent of the actors’ involvement from the dominant stakeholder group has been in control of the management and of the aforementioned hotspot. Undoubtedly, the results of this study can provide a better understanding of the potential market of actors to work with a more accurate and polycentric information flow for the development of more established desalination systems. This intriguing research will require further exploration in future studies.

Suggested Citation

  • Latifah Abdul Ghani & Ilyanni Syazira Nazaran & Nora’aini Ali & Marlia Mohd Hanafiah, 2020. "Improving Prediction Accuracy of Socio-Human Relationships in a Small-Scale Desalination Plant," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6949-:d:404522
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    References listed on IDEAS

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    1. Raluy, Gemma & Serra, Luis & Uche, Javier, 2006. "Life cycle assessment of MSF, MED and RO desalination technologies," Energy, Elsevier, vol. 31(13), pages 2361-2372.
    2. Eakin, Hallie & Lerner, Amy M. & Manuel-Navarrete, David & Hernández Aguilar, Bertha & Martínez-Canedo, Alejandra & Tellman, Beth & Charli-Joseph, Lakshmi & Fernández Álvarez, Rafael & Bojórquez-Tapia, 2016. "Adapting to risk and perpetuating poverty: Household’s strategies for managing flood risk and water scarcity in Mexico City," Environmental Science & Policy, Elsevier, vol. 66(C), pages 324-333.
    3. Mohamad Monkiz Khasreen & Phillip F. G. Banfill & Gillian F. Menzies, 2009. "Life-Cycle Assessment and the Environmental Impact of Buildings: A Review," Sustainability, MDPI, vol. 1(3), pages 1-28, September.
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    Cited by:

    1. Latifah Abdul Ghani & Nora’aini Ali & Ilyanni Syazira Nazaran & Marlia M. Hanafiah & Norhafiza Ilyana Yatim, 2021. "Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response," Energies, MDPI, vol. 14(21), pages 1-12, November.

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