Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3381-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3381-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Oct 2024
Research article |
| 02 Oct 2024
| 02 Oct 2024
Preface: Advances in pluvial and fluvial flood forecasting and assessment and flood risk management
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Dhruvesh Patel
Pandit Deendayal Energy University (PDEU) – formerly PDPU, School of Technology, Civil Engineering Department, Gujarat, India
Dawei Han
Department of Civil Engineering, University of Bristol, Bristol, UK
Benjamin Dewals
Research unit Urban & Environmental Engineering (UEE), Hydraulics in Environmental & Civil Engineering (HECE), University of Liège, Liège, Belgium
Michaela Bray
School of Engineering, Cardiff University, Cardiff, UK
Daniela Molinari
Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy
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Manuscript not accepted for further review
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-396, https://doi.org/10.5194/hess-2017-396, 2017
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This study compared the hydrological model performance of different sub-annual calibration schemes, which take into account intra-annual variations of climate. Two methods recognizing climatic patterns were applied to partition sub-periods with hydroclimatic similarities. The effect of time scales on sub-annual calibration schemes was also studied. Results indicate when using sub-annual calibration schemes, the selection of partitioning method and time scale is important to model performances.
Daniela Molinari, Karin De Bruijn, Jessica Castillo, Giuseppe T. Aronica, and Laurens M. Bouwer
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-303, https://doi.org/10.5194/nhess-2017-303, 2017
Preprint retracted
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Lu Zhuo and Dawei Han
Hydrol. Earth Syst. Sci., 21, 3267–3285, https://doi.org/10.5194/hess-21-3267-2017, https://doi.org/10.5194/hess-21-3267-2017, 2017
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Jun Zhang, Dawei Han, Yang Song, and Qiang Dai
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-289, https://doi.org/10.5194/hess-2017-289, 2017
Preprint retracted
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We explore unit hydrograph (UH) affected by geomorphology that could be used in ungauged catchments. Virtual catchments approach (VCA) is used instead of gauged catchments in runoff modelling. Catchment shape is newly introduced and the agreement of the results with the hydrological principles verifies the reliability of VCA. With the robust VCA, a large amount of catchments can be created with desirable features to explore a more comprehensive equation that can be used in ungauged catchments.
Scira Menoni, Daniela Molinari, Francesco Ballio, Guido Minucci, Ouejdane Mejri, Funda Atun, Nicola Berni, and Claudia Pandolfo
Nat. Hazards Earth Syst. Sci., 16, 2783–2797, https://doi.org/10.5194/nhess-16-2783-2016, https://doi.org/10.5194/nhess-16-2783-2016, 2016
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This paper presents a model to develop multipurpose complete event scenarios, which address all the needs that arise after a disaster. In detail, such scenarios (i) are multisectoral, (ii) address the spatial scales relevant for the event at stake, (iii) consider the temporal evolution of damage and (iv) allow damage mechanisms to be understood. The model allows flood mitigation strategies to be optimized, as proved by its use in a case study.
Remko Nijzink, Christopher Hutton, Ilias Pechlivanidis, René Capell, Berit Arheimer, Jim Freer, Dawei Han, Thorsten Wagener, Kevin McGuire, Hubert Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 4775–4799, https://doi.org/10.5194/hess-20-4775-2016, https://doi.org/10.5194/hess-20-4775-2016, 2016
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Francesco Dottori, Rui Figueiredo, Mario L. V. Martina, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 16, 2577–2591, https://doi.org/10.5194/nhess-16-2577-2016, https://doi.org/10.5194/nhess-16-2577-2016, 2016
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INSYDE is a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts.
Jorge A. Ramirez, Umamaheshwaran Rajasekar, Dhruvesh P. Patel, Tom J. Coulthard, and Margreth Keiler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-544, https://doi.org/10.5194/hess-2016-544, 2016
Preprint retracted
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Surat, India has a population of 4.5 million and lies on the banks of the river Tapi and is located downstream from a dam that repeatedly floods the city. Floods in Surat may increase in occurrence due to urbanization and climate change. We have developed a model that floods 50 % of the city and exposes > 60 % of the population and critical infrastructure. We highlight how modeling has contributed to changes in flood risk management and resulted in actions that increase city resilience.
Kue Bum Kim, Hyun-Han Kwon, and Dawei Han
Hydrol. Earth Syst. Sci., 20, 2019–2034, https://doi.org/10.5194/hess-20-2019-2016, https://doi.org/10.5194/hess-20-2019-2016, 2016
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A primary advantage of using model ensembles for climate change impact studies is to represent the uncertainties associated with models through the ensemble spread. Currently, most of the conventional bias correction methods adjust all the ensemble members to one reference observation. As a result, the ensemble spread is degraded during bias correction. However the proposed method is able to correct the bias and conform to the ensemble spread so that the ensemble information can be better used.
S. Ceola, B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione, and T. Wagener
Hydrol. Earth Syst. Sci., 19, 2101–2117, https://doi.org/10.5194/hess-19-2101-2015, https://doi.org/10.5194/hess-19-2101-2015, 2015
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D. Molinari, S. Menoni, G. T. Aronica, F. Ballio, N. Berni, C. Pandolfo, M. Stelluti, and G. Minucci
Nat. Hazards Earth Syst. Sci., 14, 901–916, https://doi.org/10.5194/nhess-14-901-2014, https://doi.org/10.5194/nhess-14-901-2014, 2014
J. Liu and D. Han
Hydrol. Earth Syst. Sci., 17, 3639–3659, https://doi.org/10.5194/hess-17-3639-2013, https://doi.org/10.5194/hess-17-3639-2013, 2013
J. Liu, M. Bray, and D. Han
Hydrol. Earth Syst. Sci., 17, 3095–3110, https://doi.org/10.5194/hess-17-3095-2013, https://doi.org/10.5194/hess-17-3095-2013, 2013
C. Prieto Sierra, E. García Alonso, R. Mínguez Solana, and R. Medina Santamaría
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-9309-2013, https://doi.org/10.5194/hessd-10-9309-2013, 2013
Revised manuscript not accepted
Cited articles
Abebe, Y. A., Ghorbani, A., Nikolic, I., Vojinovic, Z. and Sanchez, A.: A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management, Environ. Model. Softw., 111, 483–492, https://doi.org/10.1016/j.envsoft.2018.10.015, 2019.
Arnal, L., Anspoks, L., Manson, S., Neumann, J., Norton, T., Stephens, E., Wolfenden, L., and Cloke, H. L.: “Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England, Geosci. Commun., 3, 203–232, https://doi.org/10.5194/gc-3-203-2020, 2020.
Bello, O., Bustamante, A., and Pizarro, P.: Planning for disaster risk reduction within the framework of the 2030 Agenda for Sustainable Development, Documentos de Proyectos 46639, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), https://repositorio.cepal.org/server/api/core/bitstreams/cb30a4de-7d87-4e79-8e7a-ad5279038718/content (last access: 15 September 2024), 2021.
Berghuijs, W. R., Aalbers, E. E., Larsen, J. R., Trancoso, R., and Woods, R. A.: Recent changes in extreme floods across multiple continents, Environ. Res. Lett., 12, 114035, https://doi.org/10.1088/1748-9326/aa8847, 2017.
Blöschl, G., Hall, J., Viglione, A., Perdigão, R. A. P., Parajka, J., Merz, B., Lun, D., Arheimer, B., Aronica, G. T., Bilibashi, A., Boháč, M., Bonacci, O., Borga, M., Čanjevac, I., Castellarin, A., Chirico, G. B., Claps, P., Frolova, N., Ganora, D., Gorbachova, L., Gül, A., Hannaford, J., Harrigan, S., Kireeva, M., Kiss, A., Kjeldsen, T. R., Kohnová, S., Koskela, J. J., Ledvinka, O., Macdonald, N., Mavrova-Guirguinova, M., Mediero, L., Merz, R., Molnar, P., Montanari, A., Murphy, C., Osuch, M., Ovcharuk, V., Radevski, I., Salinas, J. L., Sauquet, E., Šraj, M., Szolgay, J., Volpi, E., Wilson, D., Zaimi, K., Živković, N.: Changing climate both increases and decreases European river floods, Nature, 573, 108–111, 2019a.
Burgueno, E.: Number of deaths due to floods worldwide from 1960 to 2022, https://www.statista.com/statistics/1293207/global-number-of-deaths-due-to-flood/ (last access: 5 June 2024), 2023.
Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: A review, J. Hydrol., 375, 613–626, https://doi.org/10.1016/j.jhydrol.2009.06.005, 2009.
Costabile, P., Costanzo, C., and Macchione, F.: Performances and limitations of the diffusive approximation of the 2-d shallow water equations for flood simulation in urban and rural areas, Appl. Numer. Math., 116, 141–156, 2017.
De Almeida, G., Bates, P., and Ozdemir, H.: Modeling urban floods at submeter resolution: challenges or opportunities for flood risk management?, J. Flood Risk Manage., 11, S855–S865, https://doi.org/10.1111/jfr3.12276, 2016.
Dottori, F., Mentaschi, L., Bianchi, A., Alfieri, L., and Feyen, L.: Cost-effective adaptation strategies to rising river flood risk in Europe, Nat. Clim. Change, 13, 196–202, 2023.
Edmonds, D. A., Caldwell, R. L., Brondizio, E. S., and Siani, S. M. O.: Coastal flooding will disproportionately impact people on river deltas, Nat. Commun., 11, 4741, https://doi.org/10.1038/s41467-020-18531-4, 2020.
European Commission: Facing increasing river flood risk in Europe: adaptation measures can save lives and billions of euro, https://joint-research-centre.ec.europa.eu/jrc-news-and-updates/facing-increasing-river-flood-risk-europe-adaptation-measures, (last access: July 2024), 2023.
European Commission: Nature-based solutions, https://networknature.eu/ (last access: March 2024), 2024.
European Environmental Agency: Economic losses from weather- and climate-related extremes in Europe, https://www.eea.europa.eu/en/analysis/indicators/economic-losses-from-climate-related (last access: 15 September 2024), 2023.
European Parliament: Directive 2007/60/EC of the European Parliament and of the Council on the assessment and management of flood risks, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060 (last access: March 2024), 2017.
Faivre, N., Fritz, M., Freitas, T., de Boissezon, B., and Vandewoestijne, S.: Nature-Based Solutions in the EU: Innovating with nature to address social, economic and environmental challenges, Environ. Res., 159, 509–518, 2017.
Fernández-Nóvoa, D., Ramos, A. M., González-Cao, J., García-Feal, O., Catita, C., Gómez-Gesteira, M., and Trigo, R. M.: How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus, Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, 2024.
Guido, B. I., Popescu, I., Samadi, V., and Bhattacharya, B.: An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States, Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, 2023.
Guo, Z., Moosavi, V., and Leitão, J. P.: Data-driven rapid flood prediction mapping with catchment generalizability, J. Hydrol., 609, 127726, https://doi.org/10.1016/j.jhydrol.2022.127726, 2022.
Han, D.: Flood risk assessment and management, Bentham Science Publishers, ISBN 978-1-60805-555-5, ISBN 978-1-60805-047-5, https://doi.org/10.2174/97816080504751110101, 2011.
Hooker, H., Dance, S. L., Mason, D. C., Bevington, J., and Shelton, K.: Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations, Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023, 2023.
IPCC: Intergovernmental Panel on Climate Change (IPCC), Climate Change 2022 – Impacts, Adaptation and Vulnerability, in: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, ISBN 10 1009325833, ISBN 13 978-1009325837, 2022.
IPCC: Intergovernmental Panel on Climate Change (IPCC), Climate Change 2021 – The Physical Science Basis, in: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, ISBN 10:1009157884, ISBN 13:978-1009157889, 2023.
IUCN: Nature-based Solutions, International Union for Conservation of Nature, https://www.iucn.org/our-work/nature-based-solutions (last access: November 2022), 2022.
Kossin, J. P.: A global slowdown of tropical-cyclone translation speed, Nature, 558, 104–107, 2018.
Kratzert, F., Klotz, D., Herrnegger, M., Sampson, A. K., Hochreiter, S., and Nearing, G. S.: Toward improved predictions in ungauged basins: Exploiting the power of machine learning, Water Resour. Res., 55, 11344–11354, https://doi.org/10.1029/2019WR026065, 2019.
Mignot, E. and Dewals, B.: Hydraulic modelling of inland urban flooding: Recent advances, J. Hydrol., 609, 127763, https://doi.org/10.1016/j.jhydrol.2022.127763, 2022.
NOAA: NOAA National Centers for Environmental Information, US Billion-dollar Weather and Climate Disasters, 1980–present, NCEI Accession 0209268, edited by: Smith, A. B., NOAA National Centers for Environmental Information [data set], https://doi.org/10.25921/stkw-7w73, 2024.
Pelckmans, I., Belliard, J.-P., Dominguez-Granda, L. E., Slobbe, C., Temmerman, S., and Gourgue, O.: Mangrove ecosystem properties regulate high water levels in a river delta, Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, 2023.
Phillips, R. C., Samadi, S. Z., and Meadows, M. E.: How extreme was the October 2015 flood in the Carolinas? An assessment of flood frequency analysis and distribution tails, J. Hydrol., 562, 648–663, https://doi.org/10.1016/j.jhydrol.2018.05.035, 2018.
Prieto, C., Patel, D., and Han, D.: Preface: Advances in flood risk assessment and management, Nat. Hazards Earth Syst. Sci., 20, 1045–1048, https://doi.org/10.5194/nhess-20-1045-2020, 2020.
Prieto, C., Kavetski, D., Le Vine, N., Álvarez, C., and Medina, R.: Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models, Water Resour. Res., 57, e2020WR028338, https://doi.org/10.1029/2020WR028338, 2021.
Prieto, C., Le Vine, N., Kavetski, D., Fenicia, F., Scheidegger, A., and Vitolo, C.: An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments, Water Resour. Res. 58, e2021WR030705, https://doi.org/10.1029/2021WR030705, 2022.
Seleem, O., Ayzel, G., Bronstert, A., and Heistermann, M.: Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany, Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, 2023.
Skougaard Kaspersen, P., Høegh Ravn, N., Arnbjerg-Nielsen, K., Madsen, H., and Drews, M.: Comparison of the impacts of urban development and climate change on exposing European cities to pluvial flooding, Hydrol. Earth Syst. Sci., 21, 4131–4147, https://doi.org/10.5194/hess-21-4131-2017, 2017.
WMO: International Glossary of Hydrology, WMO/UNESCO, https://unterm.un.org/unterm2/en/view/f554b78c-8759-405b-b288-5ab3273dabbb (last access: 15 September 2024), 2011.
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