Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2251-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-2251-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2023
Research article |
| 21 Jun 2023
| 21 Jun 2023
Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Anaïs Couasnon
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Frederiek C. Sperna Weiland
Deltares, Delft, the Netherlands
Willem Ligtvoet
Department of Water, Agriculture and Food, PBL Netherlands Environmental Assessment Agency (PBL), The Hague, the Netherlands
Arno Bouwman
Department of Water, Agriculture and Food, PBL Netherlands Environmental Assessment Agency (PBL), The Hague, the Netherlands
Hessel C. Winsemius
Deltares, Delft, the Netherlands
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
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This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Mar J. Zander, Pety J. Viguurs, Frederiek C. Sperna Weiland, and Albrecht H. Weerts
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-207, https://doi.org/10.5194/hess-2022-207, 2022
Manuscript not accepted for further review
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We perform a modelling study to research potential future changes in flash flood occurrence in the European Alps. We use new high-resolution numerical climate simulations, which can simulate the type of local, intense rainstorms which trigger flash floods, combined with high-resolution hydrological modelling. We find that flash floods would become less frequent in summers in our future climate scenario, with little change in autumns. However, the maximal severity would increase in both seasons.
Weihua Zhu, Kai Liu, Ming Wang, Philip J. Ward, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 22, 1519–1540, https://doi.org/10.5194/nhess-22-1519-2022, https://doi.org/10.5194/nhess-22-1519-2022, 2022
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We present a simulation framework to analyse the system vulnerability and risk of the Chinese railway system to floods. To do so, we develop a method for generating flood events at both the national and river basin scale. Results show flood system vulnerability and risk of the railway system are spatially heterogeneous. The event-based approach shows how we can identify critical hotspots, taking the first steps in developing climate-resilient infrastructure.
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
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The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Hubert T. Samboko, Sten Schurer, Hubert H. G. Savenije, Hodson Makurira, Kawawa Banda, and Hessel Winsemius
Geosci. Instrum. Method. Data Syst., 11, 1–23, https://doi.org/10.5194/gi-11-1-2022, https://doi.org/10.5194/gi-11-1-2022, 2022
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The study was conducted along the Luangwa River in Zambia. It combines low-cost instruments such as UAVs and GPS kits to collect data for the purposes of water management. A novel technique which seamlessly merges the dry and wet bathymetry before application in a hydraulic model was applied. Successful implementation resulted in water authorities with small budgets being able to monitor flows safely and efficiently without significant compromise on accuracy.
Dirk Eilander, Willem van Verseveld, Dai Yamazaki, Albrecht Weerts, Hessel C. Winsemius, and Philip J. Ward
Hydrol. Earth Syst. Sci., 25, 5287–5313, https://doi.org/10.5194/hess-25-5287-2021, https://doi.org/10.5194/hess-25-5287-2021, 2021
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Digital elevation models and derived flow directions are crucial to distributed hydrological modeling. As the spatial resolution of models is typically coarser than these data, we need methods to upscale flow direction data while preserving the river structure. We propose the Iterative Hydrography Upscaling (IHU) method and show it outperforms other often-applied methods. We publish the multi-resolution MERIT Hydro IHU hydrography dataset and the algorithm as part of the pyflwdir Python package.
Marleen Carolijn de Ruiter, Anaïs Couasnon, and Philip James Ward
Geosci. Commun., 4, 383–397, https://doi.org/10.5194/gc-4-383-2021, https://doi.org/10.5194/gc-4-383-2021, 2021
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Many countries can get hit by different hazards, such as earthquakes and floods. Generally, measures and policies are aimed at decreasing the potential damages of one particular hazard type despite their potential of having unwanted effects on other hazard types. We designed a serious game that helps professionals to improve their understanding of these potential negative effects of measures and policies that reduce the impacts of disasters across many different hazard types.
Jerom P. M. Aerts, Steffi Uhlemann-Elmer, Dirk Eilander, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 20, 3245–3260, https://doi.org/10.5194/nhess-20-3245-2020, https://doi.org/10.5194/nhess-20-3245-2020, 2020
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We compare and analyse flood hazard maps from eight global flood models that represent the current state of the global flood modelling community. We apply our comparison to China as a case study, and for the first time, we include industry models, pluvial flooding, and flood protection standards. We find substantial variability between the flood hazard maps in the modelled inundated area and exposed gross domestic product (GDP) across multiple return periods and in expected annual exposed GDP.
Cited articles
Aas, K., Czado, C., Frigessi, A., and Bakken, H.: Pair-copula constructions of multiple dependence, Insur. Math. Econ., 44, 182–198, https://doi.org/10.1016/j.insmatheco.2007.02.001, 2009.
Allen, G. H. and Pavelsky, T. M.: Global extent of rivers and streams,
Science, 361, 585–588, https://doi.org/10.1126/science.aat0636, 2018.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial
formulation of the shallow water equations for efficient two-dimensional
flood inundation modelling, J. Hydrol., 387, 33–45,
https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010.
Bates, P. D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., Savage,
J., Olcese, G., Neal, J., Schumann, G., Giustarini, L., Coxon, G., Porter,
J. R., Amodeo, M. F., Chu, Z., Lewis-Gruss, S., Freeman, N. B., Houser, T.,
Delgado, M., Hamidi, A., Bolliger, I., McCusker, K., Emanuel, K., Ferreira,
C. M., Khalid, A., Haigh, I. D., Couasnon, A., Kopp, R., Hsiang, S., and
Krajewski, W. F.: Combined modeling of US fluvial, pluvial, and coastal
flood hazard under current and future climates, Water Resour. Res., 57,
e2020WR028673, https://doi.org/10.1029/2020wr028673, 2021.
Bevacqua, E., Maraun, D., Hobæk Haff, I., Widmann, M., and Vrac, M.: Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy), Hydrol. Earth Syst. Sci., 21, 2701–2723, https://doi.org/10.5194/hess-21-2701-2017, 2017.
Bevacqua, E., Maraun, D., Vousdoukas, M. I., Voukouvalas, E., Vrac, M.,
Mentaschi, L., and Widmann, M.: Higher probability of compound flooding from
precipitation and storm surge in Europe under anthropogenic climate change,
Science Advances, 5, eaaw5531, https://doi.org/10.1126/sciadv.aaw5531, 2019.
Bidlot, J.-R.: Present status of wave forecasting at ECMWF, in: Workshop on
ocean waves, ECMWF Workshop on Ocean Waves, Shinfield Park, Reading, RG2
9AX, UK, 25–27 June 2012, ECMWF, https://www.ecmwf.int/sites/default/files/elibrary/2012/8234-present-status-wave-forecasting-ecmwf.pdf (last access: 14 June 2023), 2012.
Bilskie, M. V. and Hagen, S. C.: Defining flood zone transitions in
low-gradient coastal regions, Geophys. Res. Lett., 45, 2761–2770,
https://doi.org/10.1002/2018gl077524, 2018.
Bloemendaal, N., Haigh, I. D., Moel, H. D., Muis, S., Haarsma, R. J., and
Aerts, J. C. J. H.: Generation of a global synthetic tropical cyclone hazard
dataset using STORM, Scientific Data, 7, 40,
https://doi.org/10.1038/s41597-020-0381-2, 2020.
Bondarenko, M., Kerr, D., Sorichetta, A., and Tatem, A.: Census/projection-disaggregated gridded population datasets, adjusted to match the corresponding UNPD 2020 estimates, for 51 countries across sub-Saharan Africa using building footprints, University of Southampton [data set], https://doi.org/10.5258/SOTON/WP00683, 2020.
Buchhorn, M., Smets, B., Bertels, L., De Roo, B., Lesiv, M., Tsendbazar,
N.-E., Herold, M., and Fritz, S.: Copernicus Global Land Service: Land Cover
100m: collection 3: epoch 2015: Globe, Zenodo [data set], https://doi.org/10.5281/zenodo.3939038, 2020.
Camus, P., Haigh, I. D., Nasr, A. A., Wahl, T., Darby, S. E., and Nicholls, R. J.: Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns, Nat. Hazards Earth Syst. Sci., 21, 2021–2040, https://doi.org/10.5194/nhess-21-2021-2021, 2021.
Couasnon, A., Eilander, D., Muis, S., Veldkamp, T. I. E., Haigh, I. D., Wahl, T., Winsemius, H. C., and Ward, P. J.: Measuring compound flood potential from river discharge and storm surge extremes at the global scale, Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, 2020.
Couasnon, A., Scussolini, P., Tran, T. V. T., Eilander, D., Muis, S., Wang,
H., Keesom, J., Dullaart, J., Xuan, Y., Nguyen, H. Q., Winsemius, H. C., and
Ward, P. J.: A flood risk framework capturing the seasonality of and
dependence between rainfall and sea levels – an application to Ho Chi Minh
City, Vietnam, Water Resour. Res., 58, e2021WR030002, https://doi.org/10.1029/2021wr030002, 2022.
Dullaart, J. C. M., Muis, S., Bloemendaal, N., Chertova, M. V., Couasnon,
A., and Aerts, J. C. J. H.: Accounting for tropical cyclones more than
doubles the global population exposed to low-probability coastal flooding,
Communications Earth & Environment, 2, 1–11,
https://doi.org/10.1038/s43247-021-00204-9, 2021.
Eilander, D.: DirkEilander/compound_floodrisk: v1 (Version v1), Zenodo [data set and code], https://doi.org/10.5281/zenodo.7896388, 2023.
Eilander, D., Couasnon, A., Leijnse, T., Ikeuchi, H., Yamazaki, D., Muis, S., Dullaart, J., Haag, A., Winsemius, H. C., and Ward, P. J.: A globally applicable framework for compound flood hazard modeling, Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, 2023a.
Eilander, D., Boisgontier, H., Bouaziz, L. J. E., Buitink, J., Couasnon, A.,
Dalmijn, B., Hegnauer, M., de Jong, T., Loos, S., Marth, I., and van
Verseveld, W.: HydroMT: Automated and reproducible model building and
analysis, J. Open Source Softw., 8, 4897, https://doi.org/10.21105/joss.04897, 2023b.
Emerton, R., Cloke, H., Ficchi, A., Hawker, L., de Wit, S., Speight, L.,
Prudhomme, C., Rundell, P., West, R., Neal, J., Cuna, J., Harrigan, S.,
Titley, H., Magnusson, L., Pappenberger, F., Klingaman, N., and Stephens,
E.: Emergency flood bulletins for Cyclones Idai and Kenneth: A critical
evaluation of the use of global flood forecasts for international
humanitarian preparedness and response, Int. J. Disast. Risk Re., 50, 101811, https://doi.org/10.1016/j.ijdrr.2020.101811, 2020.
Gericke, O. J. and Smithers, J. C.: Review of methods used to estimate
catchment response time for the purpose of peak discharge estimation,
Hydrol. Sci. J., 59, 1935–1971, https://doi.org/10.1080/02626667.2013.866712, 2014.
Gori, A., Lin, N., and Xi, D.: Tropical cyclone compound flood hazard
assessment: From investigating drivers to quantifying extreme water levels,
Earths Future, 8, e2020EF001660, https://doi.org/10.1029/2020ef001660, 2020.
Gori, A., Lin, N., Xi, D., and Emanuel, K.: Tropical cyclone climatology
change greatly exacerbates US extreme rainfall–surge hazard, Nat. Clim.
Chang., 12, 171–178, https://doi.org/10.1038/s41558-021-01272-7, 2022.
Harrison, L. M., Coulthard, T. J., Robins, P. E., and Lewis, M. J.:
Sensitivity of Estuaries to Compound Flooding, Estuaries Coasts, 45,
1250–1269, https://doi.org/10.1007/s12237-021-00996-1, 2022.
Hendry, A., Haigh, I. D., Nicholls, R. J., Winter, H., Neal, R., Wahl, T., Joly-Laugel, A., and Darby, S. E.: Assessing the characteristics and drivers of compound flooding events around the UK coast, Hydrol. Earth Syst. Sci., 23, 3117–3139, https://doi.org/10.5194/hess-23-3117-2019, 2019.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5
global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
Huizinga, J., De Moel, H., and Szewczyk, W.: Global flood depth-damage functions: Methodology and the database with guidelines, Joint Research Centre, Luxembourg (Luxembourg), 108 pp., https://doi.org/10.2760/16510, 2017.
Jaafar, H. H., Ahmad, F. A., and El Beyrouthy, N.: GCN250, new global
gridded curve numbers for hydrologic modeling and design, Sci. Data, 6, 145,
https://doi.org/10.1038/s41597-019-0155-x, 2019.
Kernkamp, H. W. J., Van Dam, A., Stelling, G. S., and de Goede, E. D.:
Efficient scheme for the shallow water equations on unstructured grids with
application to the Continental Shelf, Ocean Dynam., 61, 1175–1188,
https://doi.org/10.1007/s10236-011-0423-6, 2011.
Koks, E. E., Bočkarjova, M., de Moel, H., and Aerts, J. C. J. H.:
Integrated Direct and Indirect Flood Risk Modeling: Development and
Sensitivity Analysis, Risk Anal., 35, 882–900,
https://doi.org/10.1111/risa.12300, 2015.
Kupfer, S., Santamaria-Aguilar, S., van Niekerk, L., Lück-Vogel, M., and Vafeidis, A. T.: Investigating the interaction of waves and river discharge during compound flooding at Breede Estuary, South Africa, Nat. Hazards Earth Syst. Sci., 22, 187–205, https://doi.org/10.5194/nhess-22-187-2022, 2022.
Lamb, R., Keef, C., Tawn, J., Laeger, S., Meadowcroft, I., Surendran, S.,
Dunning, P., and Batstone, C.: A new method to assess the risk of local and
widespread flooding on rivers and coasts, J. Flood Risk Manag.,
3, 323–336, https://doi.org/10.1111/j.1753-318X.2010.01081.x, 2010.
Leijnse, T., van Ormondt, M., Nederhoff, K., and van Dongeren, A.: Modeling
compound flooding in coastal systems using a computationally efficient
reduced-physics solver: Including fluvial, pluvial, tidal, wind- and
wave-driven processes, Coast. Eng., 163, 103796,
https://doi.org/10.1016/j.coastaleng.2020.103796, 2021.
Lian, J. J., Xu, K., and Ma, C.: Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China, Hydrol. Earth Syst. Sci., 17, 679–689, https://doi.org/10.5194/hess-17-679-2013, 2013.
Lucey, J. T. D. and Gallien, T. W.: Characterizing multivariate coastal flooding events in a semi-arid region: the implications of copula choice, sampling, and infrastructure, Nat. Hazards Earth Syst. Sci., 22, 2145–2167, https://doi.org/10.5194/nhess-22-2145-2022, 2022.
Marcos, M., Rohmer, J., Vousdoukas, M. I., Mentaschi, L., Le Cozannet, G.,
and Amores, A.: Increased extreme coastal water levels due to the combined
action of storm surges and wind waves, Geophys. Res. Lett., 46, 4356–4364,
https://doi.org/10.1029/2019gl082599, 2019.
Moftakhari, H., Schubert, J. E., AghaKouchak, A., Matthew, R. A., and
Sanders, B. F.: Linking statistical and hydrodynamic modeling for compound
flood hazard assessment in tidal channels and estuaries, Adv. Water Resour.,
128, 28–38, https://doi.org/10.1016/j.advwatres.2019.04.009, 2019.
Muis, S., Apecechea, M. I., Dullaart, J., de Lima Rego, J., Madsen, K. S.,
Su, J., Yan, K., and Verlaan, M.: A high-resolution global dataset of
extreme sea levels, tides, and storm surges, including future projections,
Front. Mar. Sci., 7, 263, https://doi.org/10.3389/fmars.2020.00263, 2020.
Mutua, F. M.: The use of the Akaike Information Criterion in the
identification of an optimum flood frequency model, Hydrol. Sci. J., 39,
235–244, https://doi.org/10.1080/02626669409492740, 1994.
Nagler, T. and Vatter, T.: pyvinecopulib, Zenodo [code], https://doi.org/10.5281/zenodo.5097393, 2021.
Nasr, A. A., Wahl, T., Rashid, M. M., Camus, P., and Haigh, I. D.: Assessing the dependence structure between oceanographic, fluvial, and pluvial flooding drivers along the United States coastline, Hydrol. Earth Syst. Sci., 25, 6203–6222, https://doi.org/10.5194/hess-25-6203-2021, 2021.
Neal, J., Hawker, L., Savage, J., Durand, M., Bates, P., and Sampson, C.:
Estimating river channel bathymetry in large scale flood inundation models,
Water Resour. Res., 57, e2020WR028301, https://doi.org/10.1029/2020wr028301, 2021.
Neumann, B., Vafeidis, A. T., Zimmermann, J., and Nicholls, R. J.: Future
coastal population growth and exposure to sea-level rise and coastal
flooding – A global assessment, PLoS One, 10, e0118571, https://doi.org/10.1371/journal.pone.0118571, 2015.
Olbert, A. I., Comer, J., Nash, S., and Hartnett, M.: High-resolution
multi-scale modelling of coastal flooding due to tides, storm surges and
rivers inflows. A Cork City example, Coast. Eng., 121, 278–296,
https://doi.org/10.1016/j.coastaleng.2016.12.006, 2017.
Sadegh, M., Moftakhari, H., Gupta, H. V., Ragno, E., Mazdiyasni, O.,
Sanders, B., Matthew, R., and AghaKouchak, A.: Multihazard scenarios for
analysis of compound extreme events, Geophys. Res. Lett., 45, 5470–5480,
https://doi.org/10.1029/2018gl077317, 2018.
Scussolini, P., Aerts, J. C. J. H., Jongman, B., Bouwer, L. M., Winsemius, H. C., de Moel, H., and Ward, P. J.: FLOPROS: an evolving global database of flood protection standards, Nat. Hazards Earth Syst. Sci., 16, 1049–1061, https://doi.org/10.5194/nhess-16-1049-2016, 2016.
Sebastian, A., Bader, D. J., Nederhoff, C. M., Leijnse, T. W. B., Bricker,
J. D., and Aarninkhof, S. G. J.: Hindcast of pluvial, fluvial, and coastal
flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS,
Nat. Hazards, 109, 2343–2362, https://doi.org/10.1007/s11069-021-04922-3, 2021.
Serafin, K. A., Ruggiero, P., Parker, K., and Hill, D. F.: What's streamflow got to do with it? A probabilistic simulation of the competing oceanographic and fluvial processes driving extreme along-river water levels, Nat. Hazards Earth Syst. Sci., 19, 1415–1431, https://doi.org/10.5194/nhess-19-1415-2019, 2019.
Sirko, W., Kashubin, S., Ritter, M., Annkah, A., Bouchareb, Y. S. E.,
Dauphin, Y., Keysers, D., Neumann, M., Cisse, M., and Quinn, J.:
Continental-Scale Building Detection from High Resolution Satellite Imagery, arXiv [preprint], https://doi.org/10.48550/arXiv.2107.12283, 26 July 2021.
Slager, K., Burzel, A., Bos, E., de Bruijn, K., D., W., Winsemius H, Bouwer,
L., and van der Doef, M.: User Manual Delft-FIAT, Deltares, https://publicwiki.deltares.nl/display/DFIAT/Delft-FIAT+Home (last
access: 22 September 2019), 2016.
Te Chow, V., Maidment, D. R., and Mays, L. W.: Applied Hydrology,
McGraw-Hill, New York, 572 pp., ISBN 9780070108103, 1988.
Torres, J. M., Bass, B., Irza, N., Fang, Z., Proft, J., Dawson, C., Kiani,
M., and Bedient, P.: Characterizing the hydraulic interactions of hurricane
storm surge and rainfall–runoff for the Houston–Galveston region, Coast.
Eng., 106, 7–19, https://doi.org/10.1016/j.coastaleng.2015.09.004, 2015.
UNDRR: The Sendai Framework for Disaster Risk Reduction 2015–2030, United
Nations Office for Disaster Risk Reduction, 32 pp., https://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdf (last access: 14 June 2023), 2015.
UNDRR: Global Assessment Report on Disaster Risk Reduction 2019, United
Nations, 469 pp., ISBN 9789211320503, 2019.
UNDRR: Human Cost of Disasters: An Overview of the last 20 years
(2000–2019), 30 pp., https://www.undrr.org/publication/human-cost-disasters-overview-last-20-years-2000-2019 (last access: 14 June 2023), 2020.
UN OCHA: Daily Noon Briefing Highlights: Mozambique – Sudan, UN OCHA,
https://www.unocha.org/story/daily-noon-briefing-highlights-mozambique-sudan (last access: 14 June 2023), 25 January 2021.
UN OCHA: Cyclones Idai and Kenneth, UN OCHA,
https://reliefweb.int/report/mozambique/mozambique-tropical-cyclones-idai-and-kenneth-emergency-appeal-ndeg-mdrmz014-final-report (last access: 14 June 2023), 24 November 2022.
US Army Corps of Engineers: Coastal engineering manual, US Army Corps of
Engineers Washington, DC, 477 pp., 2002.
US SCS: National engineering handbook, section 4: hydrology, US Soil
Conservation Service, USDA, Washington, DC, https://directives.sc.egov.usda.gov/OpenNonWebContent.aspx?content=18393.wba (last access: 14 June 2023), 1965.
van Berchum, E. C., van Ledden, M., Timmermans, J. S., Kwakkel, J. H., and Jonkman, S. N.: Rapid flood risk screening model for compound flood events in Beira, Mozambique, Nat. Hazards Earth Syst. Sci., 20, 2633–2646, https://doi.org/10.5194/nhess-20-2633-2020, 2020.
Vousdoukas, M. I., Voukouvalas, E., Mentaschi, L., Dottori, F., Giardino, A., Bouziotas, D., Bianchi, A., Salamon, P., and Feyen, L.: Developments in large-scale coastal flood hazard mapping, Nat. Hazards Earth Syst. Sci., 16, 1841–1853, https://doi.org/10.5194/nhess-16-1841-2016, 2016.
Wagenaar, D. J., Dahm, R. J., Diermanse, F. L. M., Dias, W. P. S.,
Dissanayake, D. M. S. S., Vajja, H. P., Gehrels, J. C., and Bouwer, L. M.:
Evaluating adaptation measures for reducing flood risk: A case study in the
city of Colombo, Sri Lanka, Int. J. Disast. Risk Re., 37, 101162, https://doi.org/10.1016/j.ijdrr.2019.101162, 2019.
Wahl, T., Jain, S., Bender, J., Meyers, S. D., and Luther, M. E.: Increasing
risk of compound flooding from storm surge and rainfall for major US cities,
Nat. Clim. Chang., 5, 1–6, https://doi.org/10.1038/nclimate2736, 2015.
Ward, P. J., de Moel, H., and Aerts, J. C. J. H.: How are flood risk estimates affected by the choice of return-periods?, Nat. Hazards Earth Syst. Sci., 11, 3181–3195, https://doi.org/10.5194/nhess-11-3181-2011, 2011.
Ward, P. J., Jongman, B., Salamon, P., Simpson, A., Bates, P. D., De Groeve,
T., Muis, S., de Perez, E. C., Rudari, R., Trigg, M. A., and Winsemius, H.
C.: Usefulness and limitations of global flood risk models, Nat. Clim.
Chang., 5, 712–715, https://doi.org/10.1038/nclimate2742, 2015.
Ward, P. J., Jongman, B., Aerts, J. C. J. H., Bates, P. D., Botzen, W. J.
W., Diaz Loaiza, A., Hallegatte, S., Kind, J. M., Kwadijk, J., Scussolini,
P., and Winsemius, H. C.: A global framework for future costs and benefits
of river-flood protection in urban areas, Nat. Clim. Chang., 7, 642–646,
https://doi.org/10.1038/nclimate3350, 2017.
Ward, P. J., Couasnon, A., Eilander, D., Haigh, I. D., Hendry, A., Muis, S.,
Veldkamp, T. I. E., Winsemius, H. C., and Wahl, T.: Dependence between high
sea-level and high river discharge increases flood hazard in global deltas
and estuaries, Environ. Res. Lett., 13, 084012,
https://doi.org/10.1088/1748-9326/aad400, 2018.
Wing, O. E. J., Bates, P. D., Sampson, C. C., Smith, A. M., Johnson, K. A.,
and Erickson, T. A.: Validation of a 30 m resolution flood hazard model of
the conterminous United States, Water Resour. Res., 53, 7968–7986,
https://doi.org/10.1002/2017WR020917, 2017.
Winsemius, H. C., Aerts, J. C. J. H., van Beek, L. P. H., Bierkens, M. F.
P., Bouwman, A., Jongman, B., Kwadijk, J. C. J., Ligtvoet, W., Lucas, P. L.,
van Vuuren, D. P., and Ward, P. J.: Global drivers of future river flood
risk, Nat. Clim. Chang., 6, 381–385, https://doi.org/10.1038/nclimate2893, 2015.
Winter, B., Schneeberger, K., Förster, K., and Vorogushyn, S.: Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach, Nat. Hazards Earth Syst. Sci., 20, 1689–1703, https://doi.org/10.5194/nhess-20-1689-2020, 2020.
WMO: WMO Atlas of Mortality and Economic Losses from Weather, Climate and
Water Extremes (1970–2019), World Meteorological Organization, ISBN 9789263112675, 2021.
Wu, W., Westra, S., and Leonard, M.: Estimating the probability of compound floods in estuarine regions, Hydrol. Earth Syst. Sci., 25, 2821–2841, https://doi.org/10.5194/hess-25-2821-2021, 2021.
Yamazaki, D., Kanae, S., Kim, H., and Oki, T.: A physically based
description of floodplain inundation dynamics in a global river routing
model, Water Resour. Res., 47, 1–21, https://doi.org/10.1029/2010WR009726, 2011.
Yamazaki, D., Ikeshima, D., Sosa, J., Bates, P. D., Allen, G. H., and
Pavelsky, T. M.: MERIT hydro: A high-resolution global hydrography map based
on latest topography dataset, Water Resour. Res., 55, 5053–5073,
https://doi.org/10.1029/2019wr024873, 2019.
Zhao, F., Veldkamp, T. I. E., Frieler, K., Schewe, J., Ostberg, S., Willner,
S., Schauberger, B., Gosling, S. N., Schmied, H. M., Portmann, F. T., Leng,
G., Huang, M., Liu, X., Tang, Q., Hanasaki, N., Biemans, H., Gerten, D.,
Satoh, Y., Pokhrel, Y., Stacke, T., Ciais, P., Chang, J., Ducharne, A.,
Guimberteau, M., Wada, Y., Kim, H., and Yamazaki, D.: The critical role of
the routing scheme in simulating peak river discharge in global hydrological
models, Environ. Res. Lett., 12, 075003, https://doi.org/10.1088/1748-9326/aa7250, 2017.
Zheng, F., Westra, S., and Sisson, S. A.: Quantifying the dependence between
extreme rainfall and storm surge in the coastal zone, J. Hydrol., 505,
172–187, https://doi.org/10.1016/j.jhydrol.2013.09.054, 2013.
Zheng, F., Westra, S., Leonard, M., and Sisson, S. A.: Modeling dependence
between extreme rainfall and storm surge to estimate coastal flooding risk,
Water Resour. Res., 50, 2050–2071, https://doi.org/10.1002/2013WR014616, 2014.
Zscheischler, J., Martius, O., Westra, S., Bevacqua, E., Raymond, C.,
Horton, R. M., van den Hurk, B., AghaKouchak, A., Jézéquel, A.,
Mahecha, M. D., Maraun, D., Ramos, A. M., Ridder, N. N., Thiery, W., and
Vignotto, E.: A typology of compound weather and climate events, Nature
Reviews Earth & Environment, 1, 333–347,
https://doi.org/10.1038/s43017-020-0060-z, 2020.
Short summary
This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
This study presents a framework for assessing compound flood risk using hydrodynamic, impact,...
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