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Prospect of Integrate Monitoring: A Multidimensional Approach

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Computational Science and Its Applications – ICCSA 2012 (ICCSA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7334))

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Abstract

The paper shows as "Strategic Environmental Assessment (SEA)” can be considered as an essential “decision support system", supported by a systematic process for evaluating the environmental issues of plans and programs. It is shown how in coastal areas, with strong characters of mutability, the assessment procedure must be able to adapt environmental protection and local development and monitoring of feedbacks assumes critical importance. The issues of monitoring and modeling with spatial data infrastructure have been applied to the Coastal Plan of the Apulia Region: a possibility has been explored to implement the analysis of environmental sensitivity and propensity to Coastal erosion due to the level of human pressure on land. The system is based on assessing pressures due to different land uses; such assessment can be integrated without great difficulty with the analysis of criticality and sensitivity provided by the plan. Essential tools to aid the monitoring system are represented by an effective geographic information system for consulting and obtaining the necessary data and analysis from a methodological point of view by AHP. M. Selicato wrote the first paragraph, C. M. Torre wrote the second and the third paragraphs and G. La Trofa wrote the last paragraph.

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© 2012 Springer-Verlag Berlin Heidelberg

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Selicato, M., Torre, C.M., La Trofa, G. (2012). Prospect of Integrate Monitoring: A Multidimensional Approach. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2012. ICCSA 2012. Lecture Notes in Computer Science, vol 7334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31075-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-31075-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31074-4

  • Online ISBN: 978-3-642-31075-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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