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Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania)

Author

Listed:
  • Laurenţiu-Andrei Ilie

    (Geomorphology-Pedology Department, Faculty of Geography, University of Bucharest, 050663 Bucharest, Romania)

  • Laura Comănescu

    (Geomorphology-Pedology Department, Faculty of Geography, University of Bucharest, 050663 Bucharest, Romania)

  • Robert Dobre

    (Geomorphology-Pedology Department, Faculty of Geography, University of Bucharest, 050663 Bucharest, Romania)

  • Alexandru Nedelea

    (Geomorphology-Pedology Department, Faculty of Geography, University of Bucharest, 050663 Bucharest, Romania)

  • Ionuț Săvulescu

    (Geomorphology-Pedology Department, Faculty of Geography, University of Bucharest, 050663 Bucharest, Romania)

  • Ioana-Alexandra Bradea

    (Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies, 010374 Bucharest, Romania)

  • Marcel Ioan Boloș

    (Faculty of Economic Sciences-Finance Accounting Department, University of Oradea, 410087 Oradea, Romania)

Abstract

This paper focuses on the environmental conflicts induced by insufficient continuous snow cover on the ski areas in Romania. The case study aims envisions the area of Southern Carpathians, Latoriței Mountains, belonging to the group of Parâng Mountains. The area chosen to develop and improve the artificial snow system was conducted for in the proposed ski area, Obârşia Lotrului. This fulfilled a necessary condition (geomorphological and climatic) for the development of the ski domain. The methodology focuses on two main stages phases. In the first stage phase, based on the GIS, the areas that have shown problems in terms of continuity of the snow layer and its thickness were identified, while the second phase, there is a supposed optimization based on Fuzzy logic for the installation of artificial snow. The corresponding thickness of snow for a longer period of time can lead to a higher socio-economic efficiency, as well as the increase of the use duration of the respective ski area, and also a prevention mechanism to environmental conflicts that may arise. The proposed study supports civil society by optimizing artificial snow machines through a positive impact on water resources allocated to a ski area in order to maintain a continuous snow cover.

Suggested Citation

  • Laurenţiu-Andrei Ilie & Laura Comănescu & Robert Dobre & Alexandru Nedelea & Ionuț Săvulescu & Ioana-Alexandra Bradea & Marcel Ioan Boloș, 2020. "Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania)," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:632-:d:308926
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    References listed on IDEAS

    as
    1. Marián Halás & Pavel Klapka & Martin Erlebach, 2019. "Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regions," Regional Studies, Taylor & Francis Journals, vol. 53(7), pages 1029-1041, July.
    2. Theo van der Sluis & Bas Arts & Kasper Kok & Marion Bogers & Anne Gravsholt Busck & Kalev Sepp & Isabel Loupa-Ramos & Vangelis Pavlis & Nicoleta Geamana & Emilie Crouzat, 2019. "Drivers of European landscape change: stakeholders’ perspectives through Fuzzy Cognitive Mapping," Landscape Research, Taylor & Francis Journals, vol. 44(4), pages 458-476, May.
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    Cited by:

    1. Klara Ramm, 2022. "Considerations Related to the Application of the EU Water Reuse Regulation to the Production of Snow from Reclaimed Water," Circular Economy and Sustainability, Springer, vol. 2(2), pages 569-587, June.

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