Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, 2022
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, 2022
Research article
19 Oct 2022
Research article | 19 Oct 2022

Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector

Pauline Brémond et al.

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Cited articles

Agenais, A.-L., Grelot, F., Brémond, P., and Erdlenbruch, K.: Dommages des inondations au secteur agricole. Guide méthodologique et fonctions nationales, Groupe de travail national acb inondation, IRSTEA, (last access: 13 October 2022), 2013. a, b
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a warmer world, Earth's Future, 5, 171–182,, 2017.  a, b
Brémond, P.: Caractérisation et évaluation économique de la vulnérabilité des exploitations agricoles aux inondations, Thèse de doctorat, spécialité sciences Économiques, Université de Montpellier 1, Montpellier, France, (last access: 13 October 2022), 2011. a, b
Brémond, P. and Grelot, F.: Comparison of a systemic modelling of farm vulnerability and classical methods to appraise flood damage on agricultural activities, in: 11th biennal conference of the International Society for Ecological Economics (ISEE) – Advancing sustainability in a time of crisis, p. 20, (last access: 13 October 2022), 2010. a
Brémond, P. and Grelot, F.: Taking into account recovery to assess vulnerability: application to farms exposed to flooding, in: International Congress on Environmental Modelling and Software – Managing Resources of a Limited Planet, edited by: Seppelt, R., Voinov, A. A., Lange, S., and Bankamp, D., IEMSs, p. 9, (last access: 13 October 2022), 2012. a, b
Short summary
It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. For this, we propose a methodological framework and apply it to the model we have developed to assess damage to agriculture. This improves the description, validation, transferability and updatability of models based on expert knowledge.
Final-revised paper