Abstract
The coastal region of Lisbon, Portugal, is potentially subject to tsunami hazard. Mapping and assessing tsunami risk requires giving adequate consideration to the population exposure. In the present work we model and map the spatio-temporal distribution of population in the daily cycle and analyze it with a tsunami hazard map to better assess tsunami risk in the Lisbon Metropolitan Area. New high-resolution daytime and nighttime population distribution surfaces are developed using `intelligent dasymetric mapping´ to combine best-available census data and statistics with land use and land cover data. Mobility statistics are considered for mapping daytime distribution. Finally, the population distribution maps are combined with the Tsunami Inundation Susceptibility map to assess potential human exposure to tsunami in daytime and nighttime periods. Results show that a significant amount of population is potentially at risk, and its numbers increase from nighttime to daytime, especially in the zones of high susceptibility.
Original language | English |
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Title of host publication | ISCRAM 2011, 8th International Conference on Information Systems for Crisis Response and Management |
Editors | Maria Santos, Luisa Sousa, Eliane Portela |
Number of pages | 5 |
Publication status | Published - 2011 |
Event | ISCRAM 2011, 8th International Conference on Information Systems for Crisis Response and Management - Duration: 8 May 2011 → 11 May 2011 |
Conference
Conference | ISCRAM 2011, 8th International Conference on Information Systems for Crisis Response and Management |
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Period | 8/05/11 → 11/05/11 |
Research Field
- Former Research Field - Energy
- Former Research Field - Innovation Systems and Policy
Keywords
- Tsunami
- population exposure
- dasymetric mapping
- Lisbon.