Using rapid damage observations for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian using social media

Autor: Jens A. de Bruijn, James E. Daniell, Antonios Pomonis, Rashmin Gunasekera, Joshua Macabuag, Marleen C. de Ruiter, Siem Jan Koopman, Nadia Bloemendaal, Hans de Moel, Jeroen C.J.H. Aerts

Publikováno v: de Bruijn, J A, Daniell, J E, Pomonis, A, Gunasekera, R, Macabuag, J, de Ruiter, M C, Koopman, S J, Bloemendaal, N, de Moel, H & Aerts, J C J H 2022, ' Using rapid damage observations for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian using social media ', International Journal of Disaster Risk Reduction, vol. 72, 102839, pp. 1-16 . https://doi.org/10.1016/j.ijdrr.2022.102839
International Journal of Disaster Risk Reduction, 72, Art.-Nr.: 102839
International Journal of Disaster Risk Reduction, 72:102839, 1-16. Elsevier
de Bruijn, J A, Daniell, J E, Pomonis, A, Gunasekera, R, Macabuag, J, de Ruiter, M C, Koopman, S J, Bloemendaal, N, de Moel, H & Aerts, J C J H 2022, ' Using rapid damage observations for Bayesian updating of hurricane vulnerability functions : A case study of Hurricane Dorian using social media ', International Journal of Disaster Risk Reduction, vol. 72, 102839 . https://doi.org/10.1016/j.ijdrr.2022.102839

Rapid impact assessments immediately after disasters are crucial to enable rapid and effective mobilization of resources for response and recovery efforts. These assessments are often performed by analysing the three components of risk: hazard, expos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13f345e4eb56a615990222eabc141ef
https://hdl.handle.net/1871.1/8deefe95-2c33-4738-b790-935b4cd1b8a8

Disaster Risk Financing in the Caribbean Region - Framework and Assessments

Autor: Rashmin Gunasekera, Mary Elinor Boyer, Thibaut Humbert, Ivelisse Justiniano

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b53d7bbbebce890a6ea99bb4df6c92c
https://doi.org/10.1596/36413

Using rapid damage observations from social media for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian

Autor: Marleen de Ruiter, Joshua Macabuag, Nadia Bloemendaal, James Daniell, Hans de Moel, Rashmin Gunasekera, Antonios Pomonis, Jens de Bruijn, Siem Jan Koopman, Jeroen C. J. H. Aerts

Rapid impact assessments immediately after disasters are crucial to enable rapid and effective mobilization of resources for response and recovery efforts. These assessments are often performed by analysing the three components of risk: hazard, expos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5363fc2c02efd9cb251b43346a2a3fc0
https://doi.org/10.5194/nhess-2020-282

The 2018 Lombok and Palu, Indonesia, earthquakes: Loss data uncertainties, cascades and implications

Autor: Pomonis, Antonios, Daniell, James, Rashmin Gunasekera, Schaefer, Andreas, Jens-Udo Skapski

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a17687a5a9ebdb1aabb0aaa348e4cde6

Consistent Yet Adaptive Global Geospatial Identification of Urban–Rural Patterns : The iURBAN Model

Autor: Christoph Aubrecht, Oscar A. Ishizawa, Rashmin Gunasekera, Joachim Ungar

The main motivation of this paper is to shed new light on the problem of spatial identification of urban and rural areas globally, and to provide a compatible disaggregation framework for linking associated country-specific, non-spatial data compilat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a422c3267a50f59275654f903c6e5d
https://hdl.handle.net/10986/25370