Abstract
Projections to 2020 indicate that renewable energy sources (RES) could cover, from 20 to 30 percent of the world’s energy needs. To implement an effective e-governance in this direction, it is necessary to implement new methodologies to support decision-making in the local energy planning. The environmental impact is one of the main concern existing at different levels, in addition to the growing soil consumption in Europe. A significant problem for some types of plants, mainly solar and wind power, is the interaction of the devices with the surrounding environment, with possible negative effects in terms of visual impact and soil consumption. It is, therefore, very important to define which weight can have different impacts and to consider all possible scenarios.
This work proposes a methodology to investigate, through some specific indicators, these impacts and to support territorial planning processes for the best choice of supply from RES. The processing of geospatial data and environmental information, collected at different scales, has been conducted through the use of GIS tools, allowing the implementation of a criticality index, as an indicator related to weight of the impacts that the construction of RES plants can have on the surrounding environmental features.
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References
European Union: Directive 2009/28/EC of the European Parliament and of the Council of 23 April 2009 on the promotion of the use of energy from renewable sources and amending and subsequently repealing Directives 2001/77/EC and 2003/30/EC (2009)
Caiaffa, E., Marucci, A., Pollino, M.: Study of sustainability of renewable energy sources through GIS analysis techniques. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012, Part II. LNCS, vol. 7334, pp. 532–547. Springer, Heidelberg (2012)
Borfecchia, F., Caiaffa, E., Pollino, M., De Cecco, L., Martini, S., La Porta, L., Marucci, A.: Remote Sensing and GIS in planning photovoltaic potential of urban areas. European Journal of Remote Sensing 47, 195–216 (2014)
Fichera, C.R., Modica, G., Pollino, M.: Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing 45, 1–18 (2012)
Modica, G., Vizzari, M., Pollino, M., Fichera, C.R., Zoccali, P., Di Fazio, S.: Spatio-temporal analysis of the urban-rural gradient structure: an application in a Mediterranean mountainous landscape (Serra San Bruno, Italy). Earth System Dynamics 3, 263–279 (2012)
Corine Land Cover (2006), http://www.eea.europa.eu/publications/COR0-landcover
Meffe, G.K., Carroll, C.R.: Principles of conservation biology. Sinauer Associates Inc., Sunderland (1994)
Rastelli, F., Staffolani, L., Hruska, K.: Ecological study of the vegetal component in the terrestrial ecotones of central Italy. Journal of Mediterranean Ecology 4(2) (2003)
Odum, E.P.: Ecology: A bridge between science and society. Sinauer Associates Inc., Sunderland (1997)
GLCF - Global Land Cover Facility, Landsat Images, http://glcf.umd.edu/
NG, Italian National Geoportal, http://www.pcn.minambiente.it/GN/index.php?lan=en
Farina, A.: Principles and Methods in Landscape Ecology: Towards a Science of the Landscape. Springer, New York (2006)
Marucci, A.: Studio della sostenibilità delle fonti energeticamente rinnovabili attraverso tecniche di analisi GIS. Valutazione delle potenzialità territoriali tramite indicatori di sviluppo e sostenibilità. PhD Thesis, University of L’Aquila (Italy) (2012) (in Italian)
ESDP - European Spatial Development. Perspective Towards Balanced and Sustainable Development of the Territory of the European Union Agreed at the Informal Council of Ministers responsible for Spatial Planning in Potsdam (1999)
Council of Europe Committee of Ministers. Recommendation Rec, 1 of the Committee of Ministers to member states on the Guiding principles for sustainable spatial development of the European Continent (2002), https://wcd.coe.int/ViewDoc.jsp?id=257311
Bennett, A.F., Saunders, D.A.: Habitat fragmentation and landscape change. Oxford University Press (2010)
Clevenger, A.P., Wierzchowski, J., Chruszcz, B., Gunson, K.: GIS-generated expert based models for identifying wildlife habitat linkages and mitigation passage planning. Conservation Biology 16, 503–514 (2002)
Hanski, I.: Landscape fragmentation, biodiversity loss and the societal response. EMBO Reports 6(5) (2005)
Christensen, N.L.: Succession and natural disturbance: Paradigms, problems, and preservation of natural ecosystems. In: Agee, J.K., Johnson, D.R. (eds.) Ecosystem Management for Parks and Wilderness. University of Washington Press, Seattle (1988)
Pizzolotto, R., Brandmayr, P.: An index to evaluate landscape conservation state based on land-use pattern analysis and Geographic Information System techniques. Coenoses 1, 37–44 (1996)
Rutledge, D.: Landscape indices as measures of the effects of fragmentation: can pattern reflect process? DOC Science Internal Series 98. Department of Conservation, Wellington. 27 p. (2003)
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Caiaffa, E., Marucci, A., Borfecchia, F., Pollino, M. (2014). Geomatics to Support the Environmental Impact Assessment in Renewable Energy Plants Installation. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_34
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DOI: https://doi.org/10.1007/978-3-319-09147-1_34
Publisher Name: Springer, Cham
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