Earth and Planetary Sciences (all); General Earth and Planetary Sciences; flood risk
Abstract :
[en] The spatial transfer of flood damage models among regions and countries is a challenging but unavoidable approach for performing flood risk assessments in data-and model-scarce regions. In these cases, similarities and differences between the contexts of application should be considered to obtain reliable damage estimations, and, in some cases, the adaptation of the original model to the new conditions is required. This study exemplifies a replicable procedure for the adaptation to the Belgian context of a multi-variable, synthetic flood damage model for the residential sector originally developed for Italy (INSYDE). The study illustrates necessary amendments in model assumptions, especially regarding default input values for the hazard and building parameters and damage functions describing the modeled damage mechanisms.
Research Center/Unit :
UEE - Urban and Environmental Engineering - ULiège
Disciplines :
Civil engineering
Author, co-author :
Scorzini, Anna Rita ; Université de Liège - ULiège > Département ArGEnCo > Hydraulics in Environmental and Civil Engineering ; Department of Civil, Environmental and Architectural Engineering, University of l'Aquila, L'Aquila, Italy
Dewals, Benjamin ; Université de Liège - ULiège > Urban and Environmental Engineering
Rodriguez Castro, Daniela ; Université de Liège - ULiège > Urban and Environmental Engineering ; Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy
Archambeau, Pierre ; Université de Liège - ULiège > Urban and Environmental Engineering
Molinari, Daniela ; Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy
Language :
English
Title :
INSYDE-BE: Adaptation of the INSYDE model to the Walloon region (Belgium)
Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: The case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661 678, https://doi.org/10.5194/nhess-19-661-2019, 2019.
Anfrie, M. N., Cassilde, S., Kryvobokov, M. and Pradella, S.: Enquête sur la Qualité de l Habitat en Wallonie-Résultats clés, Rapport Centre d Etudes en Habitat Durable, Charleroi, Belgium, 71 pp., https://cehd.be/media/1166/14_01_30_eqh_résultats_cles_final.pdf (last access: 17 May 2022), 2014.
Ballio, F., Molinari, D., Minucci, G., Mazuran, M., Arias Munoz, C., Menoni, S., Atun, F., Ardagna, D., Berni, N., and Pandolfo, C.: The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods, J. Flood Risk Manag., 11, S604 S615, https://doi.org/10.1111/jfr3.12216, 2018.
Bruwier, M., Erpicum, S., Pirotton, M., Archambeau, P., and Dewals, B. J.: Assessing the operation rules of a reservoir system based on a detailed modelling chain, Nat. Hazards Earth Syst. Sci., 15, 365 379, https://doi.org/10.5194/nhess-15-365-2015, 2015.
Cammerer, H., Thieken, A. H., and Lammel, J.: Adaptability and transferability of flood loss functions in residential areas, Nat. Hazards Earth Syst. Sci., 13, 3063 3081, https://doi.org/10.5194/nhess-13-3063-2013, 2013.
Carlier, P., Fontaine, S., and Monnier, B.: La qualité de l habitat wallon: synthèse des résultats de l enquête, Les Echos du logement, 4, 1 15, 2007.
Clausen, L. and Clark, P. B.: The development of criteria for predicting dam break flood damages using modelling of historical dam failures, in: International Conference on River Flood Hydraulics, edited by: White, W. R., Hydraulics Research Limited, John Wiley & Sons Ltd., Wallingford, UK, 369 380, ISBN 0471927139, 1990.
de Moel, H., van Alphen, J., and Aerts, J. C. J. H.: Flood maps in Europe methods, availability and use, Nat. Hazards Earth Syst. Sci., 9, 289 301, https://doi.org/10.5194/nhess-9-289-2009, 2009.
Detrembleur, S., Stilmant, F., Dewals, B., Erpicum, S., Archambeau, P., and Pirotton, M.: Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis, Nat. Hazards, 77, 1533 1549, https://doi.org/10.1007/s11069-015-1661-6, 2015.
Dewals, B., Erpicum, S., Pirotton, M., and Archambeau, P.: July 2021 extreme floods in the Belgian part of the Meuse basin, Hydrolink Magazine, 4, 104 107, 2021.
Doppagne, A. Dommages causés par les inondations en Région Wallonne (Belgique): Aléa, exposition et estimations par le Fonds des Calamités, Thesis report, Liège Université, 157 pp., https://matheo.uliege.be/handle/2268.2/11153 (last access: 17 May 2022), 2020.
Dottori, F., Figueiredo, R., Martina, M. L. V., Molinari, D., and Scorzini, A. R.: INSYDE: A synthetic, probabilistic flood damage model based on explicit cost analysis, Nat. Hazards Earth Syst. Sci., 16, 2577 2591, https://doi.org/10.5194/nhess-16-2577-2016, 2016.
Ernst, J., Dewals, B. J., Detrembleur, S., Archambeau, P., Erpicum, S., and Pirotton, M.: Micro-scale flood risk analysis based on detailed 2D hydraulic modelling and high resolution geographic data, Nat. Hazards, 55, 181 209, https://doi.org/10.1007/s11069-010-9520-y, 2010.
Erpicum, S., Dewals, B., Archambeau, P., Detrembleur, S., and Pirotton, M.: Detailed inundation modelling using high resolution DEMs, Eng. Appl. Comp. Fluid, 4, 196 208, https://doi.org/10.1080/19942060.2010.11015310, 2010.
Figueiredo, R., Schröter, K., Weiss-Motz, A., Martina, M. L. V., and Kreibich, H.: Multi-model ensembles for assessment of flood losses and associated uncertainty, Nat. Hazards Earth Syst. Sci., 18, 1297 1314, https://doi.org/10.5194/nhess-18-1297-2018, 2018.
Galliani, M., Molinari, D., and Ballio, F.: Brief Communication: Simple-INSYDE, development of a new tool for flood damage evaluation from an existing synthetic model, Nat. Hazards Earth Syst. Sci., 20, 2937 2941, https://doi.org/10.5194/nhess-20-2937-2020, 2020.
Gerl, T., Kreibich, H., Franco, G., Marechal, D., and Schröter, K.: A review of flood loss models as basis for harmonization and benchmarking, PloS One, 11, 1 22, https://doi.org/10.1371/journal.pone.0159791, 2016.
Hogge, P.: Modéliser les dommages dus aux inondations: potentiel et limitations, Thesis report, Liège Université, 80 pp., 2020.
Huizinga, H. J.: Flood damage functions for EU member states. Technical Report, HKV Consultants. Implemented in the framework of the contract #382441-F1SC awarded by the European Commission Joint Research Centre, 67 pp., 2007.
Huizinga, J., De Moel, H., and Szewczyk, W.: Global flood depth-damage functions: Methodology and the database with guidelines, EUR 28552 EN, Publications Office of the European Union, Luxembourg, ISBN 978-92-79-67781-6, https://doi.org/10.2760/16510, JRC105688, 2017.
Jongman, B., Kreibich, H., Apel, H., Barredo, J. I., Bates, P. D., Feyen, L., Gericke, A., Neal, J., Aerts, J. C. J. H., and Ward, P. J.: Comparative flood damage model assessment: Towards a European approach, Nat. Hazards Earth Syst. Sci., 12, 3733 3752, https://doi.org/10.5194/nhess-12-3733-2012, 2012.
Lödtke, S., Schröter, K., Steinhausen, M., Weise, L., Figueiredo, R., and Kreibich, H.: A consistent approach for probabilistic residential flood loss modeling in Europe, Water Resour. Res., 55, 10616 10635, https://doi.org/10.1029/2019WR026213, 2019.
Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article "Assessment of economic flood damage", Nat. Hazards Earth Syst. Sci., 10, 1697 1724, https://doi.org/10.5194/nhess-10-1697-2010, 2010.
Mohor, G. S., Hudson, P., and Thieken, A.H.: A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types, Water Resour. Res., 56, e2019WR025943, https://doi.org/10.1029/2019WR025943, 2020.
Molinari, D. and Scorzini, A. R.: On the influence of input data quality to flood damage estimation: The performance of the INSYDE model, Water, 9, 688, https://doi.org/10.3390/w9090688, 2017.
Molinari, D., Scorzini, A. R., Arrighi, C., Carisi, F., Castelli, F., Domeneghetti, A., Gallazzi, A., Galliani, M., Grelot, F., Kellermann, P., Kreibich, H., Mohor, G. S., Mosimann, M., Natho, S., Richert, C., Schroeter, K., Thieken, A. H., Zischg, A. P., and Ballio, F.: Are flood damage models converging to "reality"? Lessons learnt from a blind test, Nat. Hazards Earth Syst. Sci., 20, 2997 3017, https://doi.org/10.5194/nhess-20-2997-2020, 2020.
Mustafa, A., Bruwier, M., Archambeau, P., Erpicum, S., Pirotton, M., Dewals, B., and Teller, J.: Effects of spatial planning on future flood risks in urban environments, J. Environ. Manage., 225, 193 204, https://doi.org/10.1016/j.jenvman.2018.07.090, 2018.
Opdebeeck, M. and De Herde, A.: Guide de la rénovation énergétique et durable des logements en Wallonie, Département de l Énergie et du Bâtiment durable, 350 pp., https://energie.wallonie.be/fr/guidede-la-renovation-energetique-et-durable-des-logementsen-wallonie.html?IDC=8661&IDD=114342 (last access: 17 May 2022), 2014.
Paprotny, D., Kreibich, H., Morales-Nápoles, O., Wagenaar, D., Castellarin, A., Carisi, F., Bertin, X., Merz, B., and Schröter, K.: A probabilistic approach to estimating residential losses from different flood types, Nat. Hazards, 105, 2569 2601, https://doi.org/10.1007/s11069-020-04413-x, 2021.
Penning-Rowsell, E., Johnson, C., Tunstall, S., Morris, J., Chatterton, J., Green, C., Koussela, K., and Fernandez-Bilbao, A.: The Benefits of Flood and Coastal Risk Management: A Handbook of Assessment Techniques, Middlesex Univ. Press, Middlesex, Hydraulic Engineering Reports, ISBN 1904750516, 2005.
Petit, F., Donnay, F., Peeters, A., and Snijders, J. P.: Convention "Aide à l établissement d une cartographie des zones inondées du bassin de la Gueule, de l Amblève et des affluents de l Ourthe navigable", Final report of the Laboratoire d Hydrographie et de Géomorphologie Fluviatile Université de Liège, Division des Cours d Eau non Navigables Région Wallonne, 2005.
Poussard, C., Dewals, B., Archambeau, P., and Teller, J.: Environmental inequalities in flood exposure: A matter of scale, Frontiers in Water, 3, 1 14, https://doi.org/10.3389/frwa.2021.633046, 2021.
Saint-Geours, N., Bailly, J. S., Grelot, F., and Lavergne, C.: Multi-scale spatial sensitivity analysis of a model for economic appraisal of flood risk management policies, Environ. Modell. Softw., 60, 153 166, https://doi.org/10.1016/j.envsoft.2014.06.012, 2014.
Sairam, N., Schröter, K., Carisi, F., Wagenaar, D., Domeneghetti, A., Molinari, D., Brill, F., Priest, S., Viavattene, C., Merz, B., and Kreibich, H.: Bayesian Data-Driven approach enhances synthetic flood loss models, Environ. Modell. Softw., 132, 104798, https://doi.org/10.1016/j.envsoft.2020.104798, 2020.
Schröter, K., Kreibich, H., Vogel, K., Riggelsen, C., Scherbaum, F., and Merz, B.: How useful are complex flood damage models?, Water Resour. Res., 50, 3378 3395, https://doi.org/10.1002/2013WR014396, 2014.
Schröter, K., Lödtke, S., Redweik, R., Meier, J., Bochow, M., Ross, L., Nagel, C., and Kreibich, H.: Flood loss estimation using 3D city models and remote sensing data, Environ. Modell. Softw., 105, 118 131, https://doi.org/10.1016/j.envsoft.2018.03.032, 2018.
Scorzini, A. R. and Frank, E.: Flood damage curves: new insights from the 2010 flood in Veneto, Italy, J. Flood Risk Manag., 10, 381 392, https://doi.org/10.1111/jfr3.12163, 2017.
Scorzini, A. R., Di Bacco, M., and Manella, G.: Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy, Int. J. Disast. Risk Re., 53, 101999, https://doi.org/10.1016/j.ijdrr.2020.101999, 2021a.
Scorzini, A. R., Dewals, B., Rodriguez Castro, D., Archambeau, P., and Molinari, D.: INSYDE-Belgium, Mendeley Data [code] and [data set], V1, https://doi.org/10.17632/7ckzzz3xz5.1, 2021b.
Singh, M. K., Mahapatra, S., and Teller, J.: An analysis on energy efficiency initiatives in the building stock of Liege, Belgium, Energy Policy, 62, 729 741, https://doi.org/10.1016/j.enpol.2013.07.138, 2013.
Thieken, A. H., Möller, M., Kreibich, H., and Merz, B.: Flood damage and influencing factors: New insights from the August 2002 flood in Germany, Water Resour. Res., 41, 1 16, https://doi.org/10.1029/2005WR004177, 2005.
Thieken, A. H., Olschewski, A., Kreibich, H., Kobsch, S., and Merz, B.: Development and evaluation of FLEMOps a new Flood Loss Estimation MOdel for the private sector, WIT Trans. Ecol. Envir., 118, 315 324, 2008.
Vanneste, D., Thomas, I., Goossens, L., and De Decker, P.: Le logement en Belgique. Enquête socio-economique 2001. Monographies, SPF economie, PME, Classes moyennes et Energie, Direction générale Statistique et Information économique, 1000 Bruxelles, Belgium, 211 pp., https://statbel.fgov.be/sites/default/files/Over_Statbel_FR/ EnqueteSocEco2001-Monographie2LelogementenBelgique.pdf (last access: 17 May 2022), 2007.
Vanneste, D., Thomas, I., and Vanderstraeten, L.: The spatial structure( s) of the Belgian housing stock, J. Hous. Built Environ., 23, 173 198, https://doi.org/10.1007/s10901-008-9111-3, 2008.
Vanneuville, W., Maddens, R., Collard, C., Bogaert, P., de Maeyer, P., and Antrop, M.: Impact op mens en economie t.g.v. overstromingen bekeken in het licht van wijzigende hydraulische condities, omgevingsfactoren en klimatologische omstandigheden, Vakgroep Geografie, Universiteit Gent, Gent, Belgium, MIRA/2006/02, 120 pp., https://archief-Algemeen. omgeving.vlaanderen.be/xmlui/handle/acd/761881 (last access: 17 May 2022), 2006.
Wagenaar, D., Lödtke, S., Schröter, K., Bouwer, L. M., and Kreibich, H.: Regional and temporal transferability of multivariable flood damage models, Water Resour. Res., 54, 3688 3703, https://doi.org/10.1029/2017WR022233, 2018.
Wagenaar, D. J., de Bruijn, K. M., Bouwer, L. M., and de Moel, H.: Uncertainty in flood damage estimates and its potential effect on investment decisions, Nat. Hazards Earth Syst. Sci., 16, 1 14, https://doi.org/10.5194/nhess-16-1-2016, 2016.