Abstract
Tsunamis are among the most destructive and lethal of coastal hazards. These are time-specific events, and despite directly affecting a narrow strip of coastline, a single occurrence can have devastating effects and cause massive loss of life, especially in urbanized coastal areas. In this work, in order to consider the time dependence of population exposure to tsunami threat, the variation of spatio-temporal population distribution in the daily cycle is mapped and analyzed in the Lisbon Metropolitan Area. High-resolution daytime and nighttime population distribution maps are developed using ‘intelligent dasymetric mapping,’ that is, applying areal interpolation to combine best-available census data and statistics with land use and land cover data. Workplace information and mobility statistics are considered for mapping daytime distribution. In combination with a tsunami hazard map, information on infrastructure, land use and terrain slope, the modeled population distribution is used to assess people’s evacuation speed, applying a geospatial evacuation modeling approach to the city of Lisbon. The detailed dynamic population exposure assessment allows producing both daytime and nighttime evacuation time maps, which provide valuable input for evacuation planning and management. Results show that a significant amount of population is at risk, and its numbers increase dramatically from nighttime to daytime, especially in the zones of high tsunami flooding susceptibility. Also, full evacuation can be problematic in the daytime period, even if initiated immediately after a major tsunami-triggering earthquake. The presented approach greatly improves tsunami risk assessment and can benefit all phases of the disaster management process.
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Aubrecht C, Köstl M, Steinnocher K (2010) Population exposure and impact assessment: benefits of modeling urban land use in very high spatial and thematic detail. In: Tavares JMRS, Natal Jorge RM (eds) Computational vision and medical image processing, recent trends. Computational methods in applied sciences 19. Springer, Berlin, pp 75–89
Aubrecht C, Özceylan D, Steinnocher K, Freire S (2012a) Multi-level geospatial modeling of human exposure patterns and vulnerability indicators. Nat Hazards, p 17. doi:10.1007/s11069-012-0389-9
Aubrecht C, Freire S, Neuhold C, Curtis A, Steinnocher K (2012b) Introducing a temporal component in spatial vulnerability analysis. Disaster Adv 5(2):48–53
Baptista MA, Miranda JM (2009) Revision of the Portuguese catalog of tsunamis. Nat Hazards Earth Syst Sci 9:25–42
Baptista MA, Heitor S, Miranda JM, Miranda P, Victor L (1998) The 1755 Lisbon tsunami: evaluation of the tsunami parameters. J Geodyn 25(2):143–157
Baptista MA, Miranda JM, Soares PM, Luís JF (2006) Tsunami propagation along Tagus estuary (Lisbon, Portugal). Preliminary results. Sci Tsunami Hazards 24(5):329–338
Bhaduri B, Bright E, Coleman P, Dobson J (2002) LandScan: locating people is what matters. Geoinformatics 5(2):34–37
CCDR-LVT (2010) PROTAML: Diagnóstico Sectorial—Riscos e Protecção Civil, Lisbon. Available at http://consulta-protaml.inescporto.pt/plano-regional. Accessed 3 January 2011
Chester DK (2001) The 1755 Lisbon earthquake. Prog Phys Geogr 25(3):363–383
Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA (2000) A global population database for estimating population at risk. Photogramm Eng Remote Sens 66(7):849–857
Freire S (2010) Modeling of spatiotemporal distribution of urban population at high resolution-value for risk assessment and emergency management. In: Konecny M, Zlatanova S, Bandrova TL (eds) Geographic information and cartography for risk and crisis management. Lecture notes in geoinformation and cartography. Springer, Berlin, pp 53–67
Freire S, Aubrecht C (2010) Towards improved risk assessment—mapping spatio-temporal distribution of human exposure to earthquake hazard in the Lisbon Metropolitan Area. In: Boccardo P et al. (eds) Remote sensing and geo-information for environmental emergencies. International Symposium on Geo-information for Disaster Management (Gi4DM), Torino, Italy
Freire S, Aubrecht C (2012) Integrating population dynamics into mapping human exposure to seismic hazard. Nat Hazards Earth Syst Sci 12(11):3533–3543
Freire S, Santos T, Tenedório JA (2009) Recent urbanization and land use/land cover change in Portugal—the influence of coastline and coastal urban centers. J Coast Res SI 56:1499–1503
Freire S, Aubrecht C, Wegscheider S (2011) Spatio-temporal population distribution and evacuation modeling for improving tsunami risk assessment in the Lisbon Metropolitan Area. In: Proceedings of international symposium on geo-information for disaster management (Gi4DM), Antalya, Turkey
INE (Instituto Nacional de Estatística) (2001) Recenseamento Geral da População e da Habitação. Lisbon, Portugal
INE (Instituto Nacional de Estatística) (2003) Movimentos Pendulares e Organização do Território Metropolitano: Área Metropolitana de Lisboa e Área Metropolitana do Porto 1991–2001. Lisbon, Portugal
IOC (Intergovernmental Oceanographic Commission) (2008) Tsunami Preparedness–Information Guide for Disaster Planners. IOC Manuals and Guides No. 49. UNESCO
Jelínek R, Krausmann E, González M, Álvarez-Gómez J, Birkmann J, Welle T (2012) Approaches for tsunami risk assessment and application to the city of Cádiz, Spain. Nat Hazards 60:273–293
Klüpfel HL (2005) Modelle für die Berechnung von Personenströmen. Evakuierungssimulationen
Lima VV, Miranda JM, Baptista MA, Catalão J, Gozalez M, Otero L, Olabarrieta M, Álvarez-Gómez JA, Carreño E (2010) Impact of a 1755-like tsunami in Huelva, Spain. Nat Hazards Earth Syst Sci 10:139–148
McPherson TN, Brown MJ (2004) Estimating daytime and nighttime population distributions in U.S. cities for emergency response activities. In: Proceedings of symposium on planning, nowcasting, and forecasting in the urban zone 84th AMS annual meeting, Seattle, WA, USA, 10 pp
Mennis J, Hultgren T (2006) Intelligent dasymetric mapping and its application to areal interpolation. Cartogr Geogr Inf Sci 33(3):179–194
Nirupama N (2009) Analysis of the global tsunami data for vulnerability and risk assessment. Nat Hazards 48:11–16
NRC (National Research Council) (2007) Tools and Methods for Estimating Populations at Risk from Natural Disasters and Complex Humanitarian Crises. Report by the National Academy of Sciences, National Academy Press, Washington, DC, 264 pp
NSTC (National Science and Technology Council) (2005) Tsunami risk reduction for the United States—a framework for action. NSTC, Washington
Peduzzi P (2004) Typology of hazards. In: Environment and poverty times no. 3. UN Environment Programme/GRID-Arendal, Arendal, Norway, p 67
Post J, Wegscheider S, Mück M, Zosseder K, Kiefl R, Steinmetz T, Strunz G (2009) Assessment of human immediate response capability related to tsunami threats in Indonesia at a sub-national scale. Nat Hazards Earth Syst Sci 9:1075–1086
Rogsch C (2005) Vergleichende Untersuchungen zur dynamischen Simulation von Personenströmen. Forschungszentrum, Zentralbibliothek
Strunz G, Post J, Zosseder K, Wegscheider S, Mück M, Riedlinger T, Mehl H, Dech S, Birkmann J, Gebert N, Harjono H, Anwar HZ, Sumaryono Khomarudin RM, Muhari A (2011) Tsunami risk assessment in Indonesia. Nat Hazards Earth Syst Sci 11:67–82
Sutton P, Elvidge C, Obremski T (2003) Building and evaluating models to estimate ambient population density. Photogramm Eng Remote Sens 69(5):545–553
Taubenböck H, Goseberg N, Setiadi N, Lammel G, Moder F, Oczipka M, Klupfel H, Wahl R, Schlurmann T, Strunz G, Birkmann J, Nagel K, Siegert F, Lehmann F, Dech S, Gress A, Klein R (2009) “Last-Mile” preparation for a potential disaster—interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia. Nat Hazards Earth Syst Sci 9:1509–1528
Villagrán de León JC (2008) Rapid assessment of potential impacts of a tsunami—lessons from the Port of Galle in Sri Lanka. SOURCE ‘Studies of the University: Research, Counsel, Education’—publication series of UNU-EHS, No. 9/2008. Bonn, Germany: UNU Institute for Environment and Human Security (UNU-EHS), 100 pp
Wegscheider S, Post J, Zosseder K, Mück M, Strunz G, Riedlinger T, Muhari A, Anwar HZ (2011) Generating tsunami risk knowledge at community level as a base for planning and implementation of risk reduction strategies. Nat Hazards Earth Syst Sci 11:249–258
Wood N (2007) Variations in city exposure and sensitivity to tsunami hazards in Oregon: Reston, Va., U.S. Geological Survey Scientific Investigations Report 2007-5283
Wright JK (1936) A method of mapping densities of population. Geogr Rev 26(1):103–110
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The authors thank Prof. J. L. Zêzere and the RISKam group (CEG-IGOT) for providing the tsunami inundation susceptibility map.
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Freire, S., Aubrecht, C. & Wegscheider, S. Advancing tsunami risk assessment by improving spatio-temporal population exposure and evacuation modeling. Nat Hazards 68, 1311–1324 (2013). https://doi.org/10.1007/s11069-013-0603-4
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DOI: https://doi.org/10.1007/s11069-013-0603-4