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Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works

Author

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  • G.-Fivos Sargentis

    (School of Civil Engineering, Laboratory of Hydrology and Water Resources Development, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 157 80, Greece)

  • Panayiotis Dimitriadis

    (School of Civil Engineering, Laboratory of Hydrology and Water Resources Development, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 157 80, Greece)

  • Romanos Ioannidis

    (School of Civil Engineering, Laboratory of Hydrology and Water Resources Development, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 157 80, Greece)

  • Theano Iliopoulou

    (School of Civil Engineering, Laboratory of Hydrology and Water Resources Development, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 157 80, Greece)

  • Demetris Koutsoyiannis

    (School of Civil Engineering, Laboratory of Hydrology and Water Resources Development, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 157 80, Greece)

Abstract

Renewable energy (RE) installations and civil works are beneficial in terms of sustainability, but a considerable amount of space in the landscape is required in order to harness this energy. In contemporary environmental theory the landscape is considered an environmental parameter and the transformation of the landscape by RE works has received increasing attention by the scientific community and affected societies. This research develops a novel computational stochastic tool the 2D Climacogram (2D-C) that allows the analysis and comparison of images of landscapes, both original and transformed by RE works. This is achieved by a variability characterization of the grayscale intensity of 2D images. A benchmark analysis is performed for art paintings in order to evaluate the properties of the 2D-C for image analysis, and the change in variability among images. Extensive applications are performed for landscapes transformed by RE works. Results show that the 2D-C is able to quantify the changes in variability of the image features, which may prove useful in the landscape impact assessment of large-scale engineering works.

Suggested Citation

  • G.-Fivos Sargentis & Panayiotis Dimitriadis & Romanos Ioannidis & Theano Iliopoulou & Demetris Koutsoyiannis, 2019. "Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works," Energies, MDPI, vol. 12(14), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2817-:d:250566
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    References listed on IDEAS

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    1. Hayek, F. A., 2012. "Hayek on Hayek," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226321202 edited by Kresge, Stephen & Wenar, Leif, August.
    2. Hurtado, Juan Pablo & Fernández, Joaquín & Parrondo, Jorge L. & Blanco, Eduardo, 2004. "Spanish method of visual impact evaluation in wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(5), pages 483-491, October.
    3. Wolsink, Maarten, 2007. "Planning of renewables schemes: Deliberative and fair decision-making on landscape issues instead of reproachful accusations of non-cooperation," Energy Policy, Elsevier, vol. 35(5), pages 2692-2704, May.
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    Cited by:

    1. G.-Fivos Sargentis & Nikos D. Lagaros & Giuseppe Leonardo Cascella & Demetris Koutsoyiannis, 2022. "Threats in Water–Energy–Food–Land Nexus by the 2022 Military and Economic Conflict," Land, MDPI, vol. 11(9), pages 1-19, September.
    2. Ioannidis, Romanos & Koutsoyiannis, Demetris, 2020. "A review of land use, visibility and public perception of renewable energy in the context of landscape impact," Applied Energy, Elsevier, vol. 276(C).
    3. G.-Fivos Sargentis & Theano Iliopoulou & Stavroula Sigourou & Panayiotis Dimitriadis & Demetris Koutsoyiannis, 2020. "Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures," Sustainability, MDPI, vol. 12(19), pages 1-22, September.
    4. Xinhui Fei & Yanqin Zhang & Deyi Kong & Qitang Huang & Minhua Wang & Jianwen Dong, 2023. "Quantitative Model Study of the Psychological Recovery Benefit of Landscape Environment Based on Eye Movement Tracking Technology," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    5. G.-Fivos Sargentis & Demetris Koutsoyiannis & Andreas Angelakis & John Christy & Anastasios A. Tsonis, 2022. "Environmental Determinism vs. Social Dynamics: Prehistorical and Historical Examples," World, MDPI, vol. 3(2), pages 1-32, June.
    6. G.-Fivos Sargentis & Paraskevi Siamparina & Georgia-Konstantina Sakki & Andreas Efstratiadis & Michalis Chiotinis & Demetris Koutsoyiannis, 2021. "Agricultural Land or Photovoltaic Parks? The Water–Energy–Food Nexus and Land Development Perspectives in the Thessaly Plain, Greece," Sustainability, MDPI, vol. 13(16), pages 1-19, August.

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