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Decision Support to Build in Landslide-Prone Areas

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Improving Disaster Resilience and Mitigation - IT Means and Tools

Abstract

Soil mass movements are potential effects of insufficient soil shear strength (when construction development is to be decided). Landslides regarded as first-time or reactivated soil movements become disasters in relation to significant human and material losses. Landslide prone areas related to urban slopes are identified as such and characterized according to various criteria. The public perception related to construction decisions is first-hand provided by mapping the landslide potential, hazard and risk of each country/county/city zone. The paper presents a comparative analysis between methods to provide decision-making support for the local authorities to build on urban slopes with previous soil mass movements.

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References

  1. Adomniței CM (2010) Fundamentation of decisions for urban planning based on hazard landsliding maps. Doctoral thesis, Gheorghe Asachi, Technical University of Iasi

    Google Scholar 

  2. Bejan F (2010) Mapping the slope stability for an urban development in the N-W zone of the Iasi city. Dissertation, Gheorghe Asachi, Technical University of Iasi, Romania

    Google Scholar 

  3. Chang Y, Wilkinson S, Seville E, Potangaroa R (2010) Resourcing for a resilient post-disaster reconstruction environment. Int J Disaster Resilience Built Environ 1(1):65–83

    Article  Google Scholar 

  4. Copilau J (2008) Contributions regarding the inventory, monitoring and rehabilitation works of natural slopes. Doctoral thesis, Gheorghe Asachi, Technical University of Iasi, Romania

    Google Scholar 

  5. Copilau J, Stanciu A, Lungu I (2008) The use of landslide risk in the rehabilitation of terrestrial transportation infrastructure. In: Proceedings of the national conference of geotechnical and foundation engineering, Timișoara, pp 545–552

    Google Scholar 

  6. Covatariu G (2010) Applications of neural networks in civil engineering. Doctoral thesis, Gheorghe Asachi, Technical University of Iasi, Romania

    Google Scholar 

  7. Ermini L, Catani F, Casagli N (2005) Artificial neural networks applied to landslide susceptibility assessment. Geomorphol J 66:327–343

    Article  Google Scholar 

  8. GT 019–98 Elaboration Guide for landslide risk mapping of slopes to provide construction stability. Constructions Bulletin, vol 6, Bucharest, 2000

    Google Scholar 

  9. (HFA) Hyogo Framework for Action 2005–2015: Building the Resilience of Nations and Communities to Disasters http://www.unisdr.org/we/coordinate/hfa

  10. Lungu I, Stanciu A, Boti N (2012) Integrated geotechnical risk approach in urban decisions to increase the quality of life. Ann Acad Rom Sci 4(1):63–71

    Google Scholar 

  11. Manea S (1998) Evaluation of the slopes landslide risk. Conspress, Bucharest

    Google Scholar 

  12. Manea S, Stanciu C, Ungureanu DA (2008) Landslide of the left slope of the Buzau Valley, at thekm. 81 + 000 on DN 10 Buzău – Braşov. In: Proceedings of the national conference of geotechnical and foundation engineering, Timișoara, pp 774–784

    Google Scholar 

  13. Melchiorre C, Castellanos, Abella EA, van Westen CJ, Matteucci M (2011) Evaluation of predictibility capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantanamo, Cuba. Comput Geosci J 37:410–425

    Google Scholar 

  14. Ollet EJ (2008) Flash flood and landslide disasters in the Philippines: reducing vulnerability and improving community resilience. Dissertation, The University of Newcastle, Australia

    Google Scholar 

  15. Romanian Decision 447 (2003) Methodological norms regarding the content and procedure to elaborate the natural risk maps for landslides. The Romanian Official Monitor, part 1, no. 305/2003

    Google Scholar 

  16. Romanian Law no. 260/2008 regarding the mandatory insurance of dwellings against earthquakes, landslides or floods. The Romanian Official Monitor, part 1, no. 757/2008

    Google Scholar 

  17. Sakellariou MG, Ferentinou MD (2005) A study of slope stability prediction using neural networks. J Geotech Geol Eng 23:419–445

    Article  Google Scholar 

  18. Stanciu A, Lungu I (2006) Foundations I – physics and mechanics of soils. Technical Publishing House, Bucharest

    Google Scholar 

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Correspondence to Irina Lungu .

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Lungu, I., Stanciu, A., Covatariu, G., Teodoru, IB. (2014). Decision Support to Build in Landslide-Prone Areas. In: Teodorescu, HN., Kirschenbaum, A., Cojocaru, S., Bruderlein, C. (eds) Improving Disaster Resilience and Mitigation - IT Means and Tools. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9136-6_12

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  • DOI: https://doi.org/10.1007/978-94-017-9136-6_12

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9135-9

  • Online ISBN: 978-94-017-9136-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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