Dr. Mariana M. de Brito

Contact

Dr. Mariana de Brito

Researcher

Thematic Area Environment and Society
Department of Urban and Environmental Sociology


Helmholtz Centre
for Environmental Research − UFZ
Permoserstr. 15
04318 Leipzig, Germany

Tel.: +49 0341 235 482149
mariana.brito@ufz.de

Mariana de Brito

Research interests

  • Participatory modelling
  • Natural hazards risk management
  • Vulnerability, coping capacity and risk assessment
  • Inter-and transdisciplinary research methods
  • Multi-criteria decision analysis

Education

2015-2018    Ph.D. in Geography - University of Bonn, Geography Institute, Germany (Magna cum Laude)

2012-2014    M.Sc. in Engineering with an emphasis in Environmental Sciences - Federal University of Rio Grande do Sul (UFRGS), Brazil

2007-2011    B.Sc. in Environmental Engineering - Lutheran University of Brazil, Brazi


Selected publications


de Brito, M.M., Almoradie, A., Evers, M. (2019) Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model. International Journal of Geographical Information Science, doi:10.1080/13658816.2019.1599125.

de Brito, M.M., Evers, M., Almoradie, A. (2018) Participatory flood vulnerability assessment: a multi-criteria approach. Hydrology and Earth System Sciences, 22, 373-390, doi:10.5194/hess-22-373-2018.

García-Santos, G., de Brito, M.M., Höllermann, B., Taft, L., Almoradie, A., Evers, M. (2018) Methodology to explore emergent behaviours of the interactions between water resources and ecosystem under a pluralistic approach. Proceedings of the Int. Association of Hydrological Sciences, 95, 1-5, doi:10.5194/piahs-95-1-2018.

Bormann, H., de Brito, M.M., Charchousi, D., Chatzistratis, D., David, A., Groser, P.F., Kebschull, J., Konis, A. Koutalakis, P., Koraki, A., Krauzig, N., Meier, J., Meliadou, V., Meinhardt, M., Munnelly, K., Stephan, C., de Vos, L.F., Dietrich, J., Tzoraki, O. (2018) Impact of hydrological modellers’ decisions and attitude on the performance of a calibrated conceptual catchment model: results from a ‘modelling contest’. Hydrology, 5, 64; doi:10.3390/hydrology5040064.

Ramos, P.A.R., Oliveira, G.G., de Brito, M.M., Silva, L.C.P. (2018) Methodological proposal for flood vulnerability mapping. Anuário do Instituto de Geociências, 41, 281-291, doi: 10.11137/2018_3_281_291.

de Brito, M.M., Evers, M., Höllermann, B. (2017) Prioritization of flood vulnerability, coping capacity and exposure indicators through the Delphi technique: A case study in Taquari-Antas basin, Brazil. International Journal of Disaster Risk Reduction, 24, 119-128, doi:10.1016/j.ijdrr.2017.05.027.

de Brito, M.M., Weber, E.J., Silva Filho, L.C.P. (2017) Multi-criteria analysis applied to landslide susceptibility mapping. Revista Brasileira de Geomorfologia, 17, 719-735, doi:10.20502/rbg.v18i4.1117.

de Brito, M.M., Weber, E.J., Krigger, V.S., Leitzke, F.P. (2017) Analysis of landslide conditioning factors in Porto Alegre municipality based on historical data. Brazilian Journal of Cartography, 68, 1853-1872.

de Brito, M.M., Weber, E.J., Passuello, A. (2017) Multicriteria analysis applied to landslide susceptibility mapping: a case study in Cascata District, Porto Alegre, RS. Revista Brasileira de Geografia Física, 10, 12-24, doi:10.5935/1984-2295.20170048.

de Brito, M.M., Evers, M. (2016) Multi-criteria decision making for flood risk management: a survey of the current state-of-the-art. Natural Hazards and Earth System Sciences, 16, 1019-1033, doi:10.5194/nhess-16-1019-2016.

de Brito, M.M. (2015) Identification of landslides scars in the Eastern Edge of the Paraná Basin based on Landsat 5-TM images. Revista Brasileira de Geografia Física, 8, 56-70.