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Susana Pereira      
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Susana Pereira published an article in December 2018.
Top co-authors See all
Ricardo Trigo

201 shared publications

Instituto Geofísico do Infante D. Luiz (IGIDL), Universidade de Lisboa, Ed C8, Piso 6, 1749-016, Rua da Escola Politécnica nº 58, 1250-102 Lisboa, Lisbon, PORTUGAL

Alexandre Ramos

56 shared publications

Instituto Dom Luiz, Universidade de Lisboa, 1749-016 Lisboa, Portugal

Alexandre Tavares

50 shared publications

Centre for Social Studies, Universidade de Coimbra, Colégio de S. Jerónimo, Apartado 3087, 3000-995 Coimbra, Portugal

José Manuel Mendes

21 shared publications

Faculty of Economics and Centre for Social Studies, University of Coimbra, Coimbra, Portugal

Eusébio Reis

18 shared publications

Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa. Edif. IGOT, Rua Branca Edmée Marques, 1600-276 Lisbon, Portugal

Publication Record
Distribution of Articles published per year 
(2007 - 2018)
Total number of journals
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Article 1 Read 0 Citations A centennial catalogue of hydro-geomorphological events and their atmospheric forcing Pereira S., Ramos A.M., Rebelo L., Trigo R.M., Zêzere J.L., ... Published: 01 December 2018
Advances in Water Resources, doi: 10.1016/j.advwatres.2018.10.001
DOI See at publisher website
Article 1 Read 0 Citations Decennial comparison of changes in social vulnerability: A municipal analysis in support of risk management A.O. Tavares, J.L. Barros, J.M. Mendes, P.P. Santos, S. Pere... Published: 01 October 2018
International Journal of Disaster Risk Reduction, doi: 10.1016/j.ijdrr.2018.07.009
DOI See at publisher website
Article 0 Reads 1 Citation Meteorological Driving Mechanisms and Human Impacts of the February 1979 Extreme Hydro-Geomorphological Event in Western... Luis Rebelo, Alexandre Ramos, Susana Pereira, Ricardo Trigo Published: 10 April 2018
Water, doi: 10.3390/w10040454
DOI See at publisher website ABS Show/hide abstract
The large number of floods and landslides that occurred on 5–16 February 1979 in Portugal was a major hydro-geomorphologic extreme event according to the DISASTER database in terms of number of displaced people. The February 1979 event is the top ranked episode in terms of the total number of evacuated people (4244), displaced people (14,322) and also on the number of days of event duration (12 days) for the period 1865–2015. In this event, 62 damaging floods and five damaging landslides causing eight fatalities were recorded in Portugal. This event was driven by an unusually intense atmospheric forcing mechanism acting at different time scales. Despite the intense magnitude and the widespread impact on the population, this event has not been studied in detail. In this study, we show that the precipitation period of February 1979 had produced several multi-day accumulated precipitation events over the Portuguese continental territory, ranking among the top 10 events observed between 1950–2008. Additionally, most of the precipitation from this event occured in days in which atmospheric circulation was dominated by “wet” circulation weather types (CWTs), namely, cyclonic (C), west (W) or southwest (SW) types.
Article 0 Reads 3 Citations Regional rainfall thresholds for landslide occurrence using a centenary database Teresa Vaz, José Luís Zêzere, Susana Pereira, Sérgio Cruz Ol... Published: 04 April 2018
Natural Hazards and Earth System Sciences, doi: 10.5194/nhess-18-1037-2018
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This work proposes a comprehensive method to assess rainfall thresholds for landslide initiation using a centenary landslide database associated with a single centenary daily rainfall data set. The method is applied to the Lisbon region and includes the rainfall return period analysis that was used to identify the critical rainfall combination (cumulated rainfall duration) related to each landslide event. The spatial representativeness of the reference rain gauge is evaluated and the rainfall thresholds are assessed and calibrated using the receiver operating characteristic (ROC) metrics. Results show that landslide events located up to 10km from the rain gauge can be used to calculate the rainfall thresholds in the study area; however, these thresholds may be used with acceptable confidence up to 50km from the rain gauge. The rainfall thresholds obtained using linear and potential regression perform well in ROC metrics. However, the intermediate thresholds based on the probability of landslide events established in the zone between the lower-limit threshold and the upper-limit threshold are much more informative as they indicate the probability of landslide event occurrence given rainfall exceeding the threshold. This information can be easily included in landslide early warning systems, especially when combined with the probability of rainfall above each threshold.
Article 0 Reads 0 Citations Different types of flooding lead to different human and material damages: the case of the Lisbon Metropolitan Area Miguel Leal, Catarina Ramos, Susana Pereira Published: 27 December 2017
Natural Hazards, doi: 10.1007/s11069-017-3153-3
DOI See at publisher website
Article 0 Reads 0 Citations A comparison between bivariate and multivariate methods to assess susceptibility to liquefaction-related coseismic surfa... C. Lanfredi Sofia, S. C. Oliveira, S. Pereira, J. L. Zêzere,... Published: 22 December 2017
Geomatics, Natural Hazards and Risk, doi: 10.1080/19475705.2017.1411401
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The two main events occurred during the 2012 seismic sequence on the Po Plain in Northern Italy (May 20 Mw 5.9 and May 29 Mw 5.8) induced widespread coseismic surface effects (CSEs), mostly liquefaction phenomena, which caused severe damages. To prevent risks related to CSE, an important non-structural measure is to assess locations susceptible to liquefaction, which is usually done at site scale by means of deterministic approaches in micro-zonation studies. This paper brings a novel methodological contribution in the field of CSE susceptibility mapping at regional scale, by testing and comparing bivariate (Weights of Evidence) and multivariate (Logistic Regression) methods that, so far, have not yet been used for such purpose. In a study area of 1480 km², the computation used an inventory of CSE as supporting evidence and a set of maps with geologic, geomorphic, hydrogeological and topographic factors as causal variables. Both methods provided susceptibility maps with a significant predictive capability and a fairly good spatial agreement between each other. In conclusion, this application of data-driven spatial modelling approaches indicates that such methods can be effectively used for liquefaction susceptibility zonation at regional scale, which can be of significant support for spatial planning over large areas.