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AGRIDE-c, a conceptual model for the estimation of flood damage to crops.

Autor: Ballio, Francesco, Molinari, Daniela, Scorzini, Anna Rita, Gallazzi, Alice, Galliani, Marta

Publikováno v: Geophysical Research Abstracts; 2019, Vol. 21, p1-1, 1p

Co-mapping labs: a participatory design of risk maps.

Autor: Molinari, Daniela, Minucci, Guido, Gemini, Giuliana, Pezzoli, Silvia, Galliani, Marta, Gallazzi, Alice, Ballio, Francesco

Publikováno v: Geophysical Research Abstracts; 2019, Vol. 21, p1-1, 1p

Are flood damage models converging to 'reality'? Lessons learnt from a blind test

Autor: Guilherme Samprogna Mohor, Annegret H. Thieken, Daniela Molinari, Heidi Kreibich, Frédéric Grelot, Patric Kellermann, Chiara Arrighi, Kai Schroeter, Marta Galliani, Alessio Domeneghetti, Markus Mosimann, Claire Richert, Francesco Ballio, Stephanie Natho, Fabio Castelli, Alice Gallazzi, Francesca Carisi, Anna Rita Scorzini, Andreas Paul Zischg

Publikováno v: Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences, Copernicus Publ. / European Geosciences Union, 2020, 20 (11), pp.2997-3017. ⟨10.5194/nhess-20-2997-2020⟩
Natural Hazards and Earth System Sciences, Vol 20, Pp 2997-3017 (2020)
Molinari, Daniela; Scorzini, Anna Rita; Arrighi, Chiara; Carisi, Francesca; Castelli, Fabio; Domeneghetti, Alessio; Gallazzi, Alice; Galliani, Marta; Grelot, Frédéric; Kellermann, Patric; Kreibich, Heidi; Mohor, Guilherme S.; Mosimann, Markus; Natho, Stephanie; Richert, Claire; Schroeter, Kai; Thieken, Annegret H.; Zischg, Andreas Paul; Ballio, Francesco (2020). Are flood damage models converging to “reality”? Lessons learnt from a blind test. Natural Hazards and Earth System Sciences, 20(11), pp. 2997-3017. Copernicus Publications 10.5194/nhess-20-2997-2020
Natural Hazards and Earth System Sciences (NHESS)
Natural Hazards and Earth System Sciences, 2020, 20 (11), pp.2997-3017. ⟨10.5194/nhess-20-2997-2020⟩

Effective flood risk management requires a realistic estimation of flood losses. However, available flood damage estimates are still characterised by significant levels of uncertainty, questioning the capacity of flood damage models to depict real da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c84ac1a6cc3cc79f056c3736898ff87
http://hdl.handle.net/11311/1151306