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Author |
Sérgio Freire; Christoph Aubrecht |
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Title |
Assessing spatio-temporal population exposure to tsunami hazard in the Lisbon Metropolitan Area |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Keywords |
Hazards; Information systems; Mapping; Population distribution; Population statistics; Land use and land cover; Lisbon; Metropolitan area; Population exposure; Spatio-temporal; Spatiotemporal distributions; Tsunami hazards; Tsunami inundation; Tsunamis |
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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. |
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Address |
New University of Lisbon, E-GEO, Geography and Regional Planning Research Center, Portugal; AIT Austrian Institute of Technology, Foresight and Policy Development Department, Austria |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Geographic Information Science |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
511 |
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Author |
Sérgio Freire; Christoph Aubrecht; Stephanie Wegscheider |
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Title |
When the tsunami comes to town – Improving evacuation modeling by integrating high-resolution population exposure |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Volume |
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Pages |
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Keywords |
Floods; Information systems; Risk assessment; 3D analysis; Accurate modeling; Evacuation modeling; Horizontal and vertical displacement; Lisbon; Mitigation measures; Population exposure; Spatial modeling; Tsunamis |
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Abstract |
Tsunamis are a major risk for Lisbon (Portugal) coastal areas whose impacts can be extremely high, as confirmed by the past occurrence of major events. For correct risk assessment and awareness and for implementing mitigation measures, detailed simulation of exposure and evacuation is essential. This work uses a spatial modeling approach for estimating residential population distribution and exposure to tsunami flooding by individual building, and for simulating their evacuation travel time considering horizontal and vertical displacement. Results include finer evaluation of exposure to, and evacuation from, a potential tsunami, considering the specific inundation depth and building's height. This more detailed and accurate modeling of exposure to and evacuation from a potential tsunami can benefit risk assessment and contribute to more efficient Crisis Response and Management. © 2012 ISCRAM. |
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Address |
FCSH, Research Centre for Geography and Regional Planning, Nova University of Lisbon, Portugal; AIT Austrian Institute of Technology, Foresight and Policy Development Department, Austria; German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Germany |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Geographic Information Science and Technology |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
110 |
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Author |
Ana Rosa Trancoso; José Delgado Domingos; Maria João Telhado; João Corte-Real |
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Title |
Early warning system for meteorological risk in Lisbon municipality: Description and quality evaluation |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Volume |
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Issue |
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Pages |
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Keywords |
Alarm systems; Forecasting; Information systems; Integration; Weather forecasting; Weathering; Automated warnings; Early warning; Early Warning System; False alarm ratio; Lisbon; Meteorological risks; Multiple source; Quality evaluation; Quality control |
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Abstract |
The current work describes and evaluates an early warning system for meteorological risk in Lisbon that has been functioning in SMPC since February 2008. The system aims to integrate multiple sources of information and facilitate cross checking observations, forecasts and warnings, allowing for an efficient and timely evaluation of the alert level to issue. Currently, it comprises hourly weather and tide level forecasts and automated warnings for Lisbon city, given by MM5 and WRF models running at IST. Results show MM5 performing better than WRF except for warm weather. The overall skill of the warning system is 40% with some false alarm ratios, mainly for forecasts with more than 3 days in advance. This is a reasonable characteristic for early warning since a potentially problematic situation can be anticipated and checked avoiding unnecessary economic expenditures if the warnings do not persist. |
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Address |
Instituto Superior Técnico, Portugal; Serviço Municipal de Protecção Civil de Lisboa, Portugal; Universidade de Évora, Portugal |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Early Warning and Alert Systems |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1015 |
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