Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2313-2023
© 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-23-2313-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jun 2023
Research article |
| 26 Jun 2023
| 26 Jun 2023
The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index
Leon Scheiber
CORRESPONDING AUTHOR
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Mazen Hoballah Jalloul
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Christian Jordan
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Jan Visscher
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Hong Quan Nguyen
Institute for Circular Economy Development, Vietnam National
University Ho Chi Minh City, 700000 Ho Chi Minh City, Vietnam
Institute for Environment and Resources, Vietnam National University Ho Chi Minh City, 700000 Ho Chi Minh City, Vietnam
Torsten Schlurmann
Ludwig-Franzius-Institute of Hydraulic, Estuarine and Coastal
Engineering, Leibniz University Hannover, 30167 Hanover, Germany
Related authors
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
Short summary
Short summary
Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
Tim Hans Martin van Emmerik, Tim Willem Janssen, Tianlong Jia, Thank-Khiet L. Bui, Riccardo Taormina, Hong-Q. Nguyen, and Louise Jeanne Schreyers
EGUsphere, https://doi.org/10.5194/egusphere-2024-2270, https://doi.org/10.5194/egusphere-2024-2270, 2024
Short summary
Short summary
Plastic pollution has negative effects on the environment. Tropical rivers around the world suffer from both plastic pollution and invasive water hyacinths. Water hyacinths grow rapidly and form dense floating mats. Using drones, cameras and AI, we show that along the Saigon river, Vietnam, the majority of floating plastic pollution is carried by water hyacinths. Better understanding water hyacinth-plastic trapping supports improving pollution monitoring and management strategies.
Robert Lepper, Leon Jänicke, Ingo Hache, Christian Jordan, and Frank Kösters
Ocean Sci., 20, 711–723, https://doi.org/10.5194/os-20-711-2024, https://doi.org/10.5194/os-20-711-2024, 2024
Short summary
Short summary
Most coastal environments are sheltered by tidal flats and salt marshes. These habitats are threatened from drowning under sea level rise. Contrary to expectation, recent analyses in the Wadden Sea showed that tidal flats can accrete faster than sea level rise. We found that this phenomenon was facilitated by the nonlinear link between tidal characteristics and coastal bathymetry evolution. This link caused local and regional tidal adaptation with sharp increase–decrease edges at the coast.
Louise J. Schreyers, Tim H. M. van Emmerik, Thanh-Khiet L. Bui, Khoa L. van Thi, Bart Vermeulen, Hong-Q. Nguyen, Nicholas Wallerstein, Remko Uijlenhoet, and Martine van der Ploeg
Hydrol. Earth Syst. Sci., 28, 589–610, https://doi.org/10.5194/hess-28-589-2024, https://doi.org/10.5194/hess-28-589-2024, 2024
Short summary
Short summary
River plastic emissions into the ocean are of global concern, but the transfer dynamics between fresh water and the marine environment remain poorly understood. We developed a simple Eulerian approach to estimate the net and total plastic transport in tidal rivers. Applied to the Saigon River, Vietnam, we found that net plastic transport amounted to less than one-third of total transport, highlighting the need to better integrate tidal dynamics in plastic transport and emission models.
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
Short summary
Short summary
Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
Short summary
Short summary
As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Related subject area
Hydrological Hazards
A multivariate statistical framework for mixed storm types in compound flood analysis
Invited perspectives: safeguarding the usability and credibility of flood hazard and risk assessments
Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai
Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress
The effect of wildfires on flood risk: a multi-hazard flood risk approach for the Ebro River basin, Spain
Modelling hazards impacting the flow regime in the Hranice Karst due to the proposed Skalička Dam
Spatiotemporal variability of flash floods and their human impacts in the Czech Republic during the 2001–2023 period
Risk of compound flooding substantially increases in the future Mekong River delta
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Floods in the Pyrenees: a global view through a regional database
Algorithmically detected rain-on-snow flood events in different climate datasets: a case study of the Susquehanna River basin
Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems
Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China
Multi-scale hydraulic graph neural networks for flood modelling
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products
Flood occurrence and impact models for socioeconomic applications over Canada and the United States
Model-based assessment of climate change impact on inland flood risk at the German North Sea coast caused by compounding storm tide and precipitation events
Brief Communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem
Hydrometeorological controls of and social response to the 22 October 2019 catastrophic flash flood in Catalonia, north-eastern Spain
A downward-counterfactual analysis of flash floods in Germany
Hyper-resolution flood hazard mapping at the national scale
Compound droughts under climate change in Switzerland
Brief communication: SWM – stochastic weather model for precipitation-related hazard assessments using ERA5-Land data
Tangible and intangible ex-post assessment of flood-induced damages to cultural heritage
Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany
The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
The role of antecedent conditions in translating precipitation events into extreme floods at catchment scale and in a large basin context
Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods?
Added value of seasonal hindcasts to create UK hydrological drought storylines
Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica
Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
Current and future rainfall-driven flood risk from hurricanes in Puerto Rico under 1.5 and 2 °C climate change
Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)
Integrating multi-hazard susceptibility and building exposure: A case study for Quang Nam province, Vietnam
Impact-based flood forecasting in the Greater Horn of Africa
Brief communication: A first hydrological investigation of extreme August 2023 floods in Slovenia, Europe
Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin
Review article: Towards improved drought prediction in the Mediterranean region – modeling approaches and future directions
Mind the Gap: Misalignment Between Drought Monitoring and Community Realities
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
Short summary
Short summary
When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
Short summary
Short summary
Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
Nat. Hazards Earth Syst. Sci., 24, 3977–3990, https://doi.org/10.5194/nhess-24-3977-2024, https://doi.org/10.5194/nhess-24-3977-2024, 2024
Short summary
Short summary
This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influences of building collapse on rainfall-driven and river-driven floods are different because these two types of floods have different origination and propagation mechanisms.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
Short summary
Short summary
Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
Short summary
Short summary
A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
Short summary
Short summary
The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
Short summary
Short summary
Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
Short summary
Short summary
We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
Short summary
Short summary
Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
Short summary
Short summary
This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
Short summary
Short summary
We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
Short summary
Short summary
Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
Short summary
Short summary
Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
EGUsphere, https://doi.org/10.5194/egusphere-2024-2621, https://doi.org/10.5194/egusphere-2024-2621, 2024
Short summary
Short summary
Deep learning methods are increasingly used as surrogates for spatio-temporal flood models but struggle with generalization and speed. Here, we propose a multi-resolution approach using graph neural networks that predicts dike breach floods across different meshes, topographies, and boundary conditions with high accuracy and up to 1000x speedups. The model also generalizes to larger, more complex case studies with just one additional simulation for fine-tuning.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
Short summary
Short summary
Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
Short summary
Short summary
Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
Short summary
Short summary
Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
Short summary
Short summary
Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
Short summary
Short summary
The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
Short summary
Short summary
This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
Short summary
Short summary
Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
Short summary
Short summary
Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-119, https://doi.org/10.5194/nhess-2024-119, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
Floods have caused significant damage in the past. To prepare for such events, we rely on historical data, but face issues due to rare rainfall events, lack of data, and climate change. Counterfactuals, or "what if" scenarios, simulate historical rainfall in different locations to estimate flood levels. Our new study refines this by deriving more plausible local scenarios, using the June 2024 Bavaria flood as a case study. This method could improve future flood preparation.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
Short summary
Short summary
We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
Short summary
Short summary
Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
Short summary
Short summary
On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
Short summary
Short summary
To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
Short summary
Short summary
A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
Short summary
Short summary
The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
Short summary
Short summary
Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-104, https://doi.org/10.5194/nhess-2024-104, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
The work describes the flood damages to cultural heritage (CH) occurred in the event of September 2022 in Central Italy. Datasets related to flood impacts to cultural heritage are rare and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of the flood, i.e., water depth and flow velocity. The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
Short summary
Short summary
We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
Short summary
Short summary
INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
Short summary
Short summary
Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
EGUsphere, https://doi.org/10.5194/egusphere-2024-909, https://doi.org/10.5194/egusphere-2024-909, 2024
Short summary
Short summary
Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
Short summary
Short summary
High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
Short summary
Short summary
The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
Short summary
Short summary
The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
Short summary
Short summary
This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
Short summary
Short summary
The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
Short summary
Short summary
We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
Short summary
Short summary
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
Short summary
Short summary
We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
Short summary
Short summary
Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-57, https://doi.org/10.5194/egusphere-2024-57, 2024
Short summary
Short summary
The study produced a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explored multi-hazards assessment and risk through a machine learning modelling approach. The process includes (1) collecting a database of topography, climate, geology, environment, and building data, (2) developing models for multi-hazards assessment and coding in Google Earth Engine, and (3) producing credible multi-hazard susceptibility and building exposure maps.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
Short summary
Short summary
This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
Short summary
Short summary
Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
Short summary
Short summary
This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
Short summary
Short summary
In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Sarra Kchouk, Louise Cavalcante, Lieke A. Melsen, David W. Walker, Germano Ribeiro Neto, Rubens Gondim, Wouter J. Smolenaars, and Pieter R. van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2023-2726, https://doi.org/10.5194/egusphere-2023-2726, 2023
Short summary
Short summary
Droughts impact water and people, yet monitoring often overlooks impacts on people. In Northeast Brazil, we assess official data against local experiences, finding data mismatches and blindspots. Mismatches occur due to the data's broad scope missing finer details. Blindspots arise from ignoring diverse community responses and vulnerabilities to droughts. We suggest enhanced monitoring by technical extension officers for both severe and mild droughts.
Cited articles
ADB: Ho Chi Minh City – Adaptation to Climate Change: Summary Report, Asian
Development Bank, Manila, the Philippines, 1–36 pp., ISBN 978-971-561-893-9, 2010.
Ahmad, K., Sohail, A., Conci, N., and de Natale, F.: A Comparative Study of
Global and Deep Features for the Analysis of User-Generated Natural Disaster
Related Images, in: 2018 IEEE 13th Image, Video, and Multidimensional Signal
Processing Workshop (IVMSP), Aristi Village, Zagorochoria, Greece, 6 October–6 December 2018, 1–5, https://doi.org/10.1109/IVMSPW.2018.8448670, 2018.
ALOS: OpenTopography: ALOS World 3D – 30 m [data set], https://doi.org/10.5069/G94M92HB, 2016.
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.
Andimuthu, R., Kandasamy, P., Mudgal, B. V., Jeganathan, A., Balu, A., and
Sankar, G.: Performance of urban storm drainage network under changing
climate scenarios: Flood mitigation in Indian coastal city, Sci.
Rep., 9, 7783, https://doi.org/10.1038/s41598-019-43859-3, 2019.
Andreadis, K. M., Schumann, G. J.-P., and Pavelsky, T.: A simple global
river bankfull width and depth database, Water Resour. Res., 49, 7164–7168,
https://doi.org/10.1002/wrcr.20440, 2013.
Ansari, R. A. and Buddhiraju, K. M.: Noise Filtering in High-Resolution
Satellite Images Using Composite Multiresolution Transforms, PFG, 86,
249–261, https://doi.org/10.1007/s41064-019-00061-4, 2018.
ASTER: ASTER Global Digital Elevation Model V003, NASA Earth Data [data set],
https://doi.org/10.5067/ASTER/ASTGTM.003, 2019.
Balbastre-Soldevila, R., García-Bartual, R., and Andrés-Doménech, I.: A
Comparison of Design Storms for Urban Drainage System Applications, Water,
11, 757, https://doi.org/10.3390/w11040757, 2019.
Barragán, J. M. and de Andrés, M.: Analysis and trends of the
world's coastal cities and agglomerations, Ocean Coast. Manage.,
114, 11–20, https://doi.org/10.1016/j.ocecoaman.2015.06.004, 2015.
Becek, K.: Assessing Global Digital Elevation Models Using the Runway
Method: The Advanced Spaceborne Thermal Emission and Reflection Radiometer
Versus the Shuttle Radar Topography Mission Case, IEEE Trans. Geosci. Remote
Sensing, 52, 4823–4831, https://doi.org/10.1109/TGRS.2013.2285187, 2014.
Ben Nhge Port Company Ltd.: Overview, Geographic Location, Ben Nghe Port
Company Ltd., http://www.benngheport.com/about-us/overview.html (last access: 22 July
2022), 2014.
Beretta, R., Ravazzani, G., Maiorano, C., and Mancini, M.: Simulating the
Influence of Buildings on Flood Inundation in Urban Areas, Geosciences, 8,
77, https://doi.org/10.3390/geosciences8020077, 2018.
Beven, K. J.: Rainfall-Runoff Modelling: The Primer, John Wiley & Sons,
https://doi.org/10.1002/9781119951001, 2011.
Bright, E., Coleman, P., Rose, A., and Urban, M.: Landscan 2010, https://landscan.ornl.gov (last access: 10 June 2023), 2011.
Brown, S., Nicholls, R. J., Lowe, J. A., and Hinkel, J.: Spatial variations
of sea-level rise and impacts: An application of DIVA, Clim. Change, 134,
403–416, https://doi.org/10.1007/s10584-013-0925-y, 2016.
Caldwell, P., Merrifield, M., and Thompson, P.: Sea level measured by tide
gauges from global oceans – the Joint Archive for Sea Level holdings (NCEI
Accession 0019568), Version 5.5, NOAA National Centers for Environmental
Information [data set], https://doi.org/10.7289/v5v40s7w, 2015.
Camenen, B., Gratiot, N., Cohard, J.-A., Gard, F., Tran, V. Q., Nguyen,
A.-T., Dramais, G., van Emmerik, T., and Némery, J.: Monitoring
discharge in a tidal river using water level observations: Application to
the Saigon River, Vietnam, The Sci. Total Environ., 761,
143195, https://doi.org/10.1016/j.scitotenv.2020.143195, 2021.
Chaudhary, P., D'Aronco, S., Leitão, J. P., Schindler, K., and Wegner,
J. D.: Water level prediction from social media images with a multi-task
ranking approach, ISPRS J. Photogramm., 167,
252–262, https://doi.org/10.1016/j.isprsjprs.2020.07.003, 2020.
Chen, A. S., Evans, B., Djordjević, S., and Savić, D. A.: A
coarse-grid approach to representing building blockage effects in 2D urban
flood modelling, J. Hydrol., 426–427, 1–16,
https://doi.org/10.1016/j.jhydrol.2012.01.007, 2012.
Chu, T. and Lindenschmidt, K.-E.: Comparison and Validation of Digital
Elevation Models Derived from InSAR for a Flat Inland Delta in the High
Latitudes of Northern Canada, Can. J. Remote Sens., 43,
109–123, https://doi.org/10.1080/07038992.2017.1286936, 2017.
CoastalDEM: CoastalDEM®: New v2.1 release provides even better elevation data for flood risk assessment [data set], https://go.climatecentral.org/coastaldem/, last access: 20 June 2023.
ESA: Copernicus DEM – Global and European Digital Elevation Model (COP-DEM), Version 1, European Space Agency (ESA),
https://doi.org/10.5270/ESA-c5d3d65, 2019.
Crameri, F.: Scientific colour maps, Zenodo, https://doi.org/10.5281/zenodo.5501399, 2021.
Dasallas, L., An, H., and Lee, S.: Developing an integrated multiscale
rainfall-runoff and inundation model: Application to an extreme rainfall
event in Marikina-Pasig River Basin, Philippines, J. Hydrol.-Reg. Stud., 39, 100995, https://doi.org/10.1016/j.ejrh.2022.100995,
2022.
Debusscher, B., Landuyt, L., and van Coillie, F.: A Visualization Tool for
Flood Dynamics Monitoring Using a Graph-Based Approach, Remote Sens., 12,
2118, https://doi.org/10.3390/rs12132118, 2020.
DECIDER project: Decisions for the Design of Adaptation Pathways and the Integrative Development, Evaluation and Governance of Flood
Risk Mitigation Strategies in Changing Urban-rural Systems (DECIDER) [data set], https://www.decider-project.org (last access: 20 June 2023), 2023.
Di Baldassarre, G. and Uhlenbrook, S.: Is the current flood of data enough?
A treatise on research needs for the improvement of flood modelling, Hydrol.
Process., 26, 153–158, https://doi.org/10.1002/hyp.8226, 2012.
Doocy, S., Daniels, A., Murray, S., and Kirsch, T. D.: The human impact of
floods: a historical review of events 1980–2009 and systematic literature
review, PLoS Curr., 5, PubMed-ID: 23857425, 1–27 pp., 2013.
Duffy, C. E., Braun, A., and Hochschild, V.: Surface Subsidence in Urbanized
Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City, Remote
Sens., 12, 4130, https://doi.org/10.3390/rs12244130, 2020.
Dyck, S.: Angewandte Hydrologie, Teil 2: Der Wasserhaushalt der Fußgebiete, 2nd printing, Verlag für Bauwesen, Berlin, 1980.
Ekeu-wei, I. T. and Blackburn, G. A.: Catchment-Scale Flood Modelling in
Data-Sparse Regions Using Open-Access Geospatial Technology, IJGI, 9, 512,
https://doi.org/10.3390/ijgi9090512, 2020.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S.,
Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S.,
Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf,
D.: The Shuttle Radar Topography Mission, Rev. Geophys., 45, RG2004/2007,
https://doi.org/10.1029/2005RG000183, 2007.
Feng, Y., Brubaker, K. L., and McCuen, R. H.: New View of Flood Frequency
Incorporating Duration, J. Hydrol. Eng., 22, 4017051,
https://doi.org/10.1061/(ASCE)HE.1943-5584.0001573, 2017.
Feng, Y., Brenner, C., and Sester, M.: Flood severity mapping from
Volunteered Geographic Information by interpreting water level from images
containing people: A case study of Hurricane Harvey, ISPRS J.
Photogramm., 169, 301–319,
https://doi.org/10.1016/j.isprsjprs.2020.09.011, 2020.
FIM: Ho Chi Minh City Flood and Inundation Management, Final report, volume
2: IFRM strategy annex 1: Analysis of flood and inundation hazards, Ho Chi
Minh City, Vietnam, Internal Report, 2013.
Gallien, T. W., Schubert, J. E., and Sanders, B. F.: Predicting tidal
flooding of urbanized embayments: A modeling framework and data
requirements, Coast. Eng., 58, 567–577,
https://doi.org/10.1016/j.coastaleng.2011.01.011, 2011.
GO FAIR: Fair Principles, https://www.go-fair.org/fair-principles/ (last
access: 15 September 2022), 2016.
Guan, M., Guo, K., Yan, H., and Wright, N.: Bottom-up multilevel flood
hazard mapping by integrated inundation modelling in data scarce cities,
J. Hydrol., 617, 129114,
https://doi.org/10.1016/j.jhydrol.2023.129114, 2023.
Gugliotta, M., Saito, Y., Ta, T. K. O., van Nguyen, L., Uehara, K., Tamura,
T., Nakashima, R., and Lieu, K. P.: Sediment distribution along the fluvial
to marine transition zone of the Dong Nai River System, southern Vietnam,
Mar. Geol., 429, 106314, https://doi.org/10.1016/j.margeo.2020.106314,
2020.
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.: Future
flood losses in major coastal cities, Nat. Clim. Change, 3, 802–806,
https://doi.org/10.1038/nclimate1979, 2013.
Hamel, P. and Tan, L.: Blue-Green Infrastructure for Flood and Water Quality
Management in Southeast Asia: Evidence and Knowledge Gaps, Environ.
Manage., 1–20, https://doi.org/10.1007/s00267-021-01467-w, 2021.
Hansen, A.: The Three Extreme Value Distributions: An Introductory Review,
Front. Phys., 8, 604053, https://doi.org/10.3389/fphy.2020.604053, 2020.
Hanson, S., Nicholls, R., Ranger, N., Hallegatte, S., Corfee-Morlot, J.,
Herweijer, C., and Chateau, J.: A global ranking of port cities with high
exposure to climate extremes, Clim. Change, 104, 89–111,
https://doi.org/10.1007/s10584-010-9977-4, 2011.
Hawker, L., Bates, P., Neal, J., and Rougier, J.: Perspectives on Digital
Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a
High-Accuracy Open Access Global DEM, Front. Earth Sci., 6,
https://doi.org/10.3389/feart.2018.00233, 2018.
Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., and Neal,
J.: A 30 m global map of elevation with forests and buildings removed,
Environ. Res. Lett., 17, 24016, https://doi.org/10.1088/1748-9326/ac4d4f,
2022.
Hejl, L.: A Method for adjusting values of Manning's Roughness Coefficient
for flooded urban areas, J. Res. U.S. Geol. Survey, 5, 541–545,
1977.
Hong, H., Tsangaratos, P., Ilia, I., Liu, J., Zhu, A.-X., and Chen, W.:
Application of fuzzy weight of evidence and data mining techniques in
construction of flood susceptibility map of Poyang County, China, The
Sci. Total Environ., 625, 575–588,
https://doi.org/10.1016/j.scitotenv.2017.12.256, 2018.
Ho Tong Minh, D., Ngo, Y.-N., Lê, T. T., Le, T. C., Bui, H. S., Vuong,
Q. V., and Le Toan, T.: Quantifying Horizontal and Vertical Movements in Ho
Chi Minh City by Sentinel-1 Radar Interferometry,
https://www.preprints.org/manuscript/202012.0382/v2 (last access: 11 June 2023), Preprint, 2020.
Hu, Z., Peng, J., Hou, Y., and Shan, J.: Evaluation of Recently Released
Open Global Digital Elevation Models of Hubei, China, Remote Sens., 9,
262, https://doi.org/10.3390/rs9030262, 2017.
Huong, H. T. L. and Pathirana, A.: Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam, Hydrol. Earth Syst. Sci., 17, 379–394, https://doi.org/10.5194/hess-17-379-2013, 2013.
IGES: Sustainable Groundwater Management in Asian Cities: A final report of
Research on Sustainable Water Management Policy, ISBN 4-88788-039-9, 69–71 pp., 2007.
Intermap: NextMap World 10, https://www.intermap.com/data/nextmap (last access: 13 January 2023), 2018.
IPCC: Climate Change 2022: Impacts, Adaptation, and Vulnerability:
Contribution of Working Group II to the Sixth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Pörtner, H.-O., Roberts, D. C., Tignor,
M., Poloczanska, E. S., Mintenbeck, K., Alegría, A., Craig, M., Langsdorf, S., Löschke, S., Möller, V., Okem, A., and Rama, B.,
Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/9781009325844, 1–3068 pp., 2022.
Ismail, M. S. N., Ghani, A. N. A., Ghazaly, Z. M., and Dafalla, M.: A study
on the effect of flooding depths and duration on soil subgrade performance
and stability, Int. J. Geotech., Construction Material
and Environment (GEOMATE), 19,
182–187, https://doi.org/10.21660/2020.71.9336, 2020.
Jarihani, A. A., Callow, J. N., McVicar, T. R., van Niel, T. G., and Larsen,
J. R.: Satellite-derived Digital Elevation Model (DEM) selection,
preparation and correction for hydrodynamic modelling in large, low-gradient
and data-sparse catchments, J. Hydrol., 524, 489–506,
https://doi.org/10.1016/j.jhydrol.2015.02.049, 2015.
JICA: Detailed Design Study on HCMC Water Environment Improvement Project
(Final Report), Japan International Cooperation Agency, Ho Chi Minh City, https://openjicareport.jica.go.jp/pdf/11650298.pdf (last access: 13 June 2023), 1–48 pp.,
2001.
Khiem, M. V., Minh, H. T., and Linh, L. N.: Impact of Climate Change on Intensity-Duration-Frequency
Curves in Ho Chi Minh City, J. Clim. Change Sci., (last access: 13 January 2023), 40–46 pp., 2017.
Kim, D., Sun, Y., Wendi, D., Jiang, Z., Liong, S.-Y., and Gourbesville, P.:
Flood Modelling Framework for Kuching City, Malaysia: Overcoming the Lack of
Data, Advances in Hydroinformatics, Springer Singapore, 559–568, 559–568,
https://doi.org/10.1007/978-981-10-7218-5_39, 2018.
Kim, D.-E., Gourbesville, P., and Liong, S.-Y.: Overcoming data scarcity in
flood hazard assessment using remote sensing and artificial neural network,
Smart Water, 4, 2, https://doi.org/10.1186/s40713-018-0014-5, 2019.
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 analysis an official publication of the Society
for Risk Analysis, 35, 882–900, https://doi.org/10.1111/risa.12300, 2015.
Kontgis, C., Schneider, A., Fox, J., Saksena, S., Spencer, J. H., and
Castrence, M.: Monitoring peri-urbanization in the greater Ho Chi Minh City
metropolitan area, Appl. Geogr., 53, 377–388,
https://doi.org/10.1016/j.apgeog.2014.06.029, 2014.
Kreibich, H., Piroth, K., Seifert, I., Maiwald, H., Kunert, U., Schwarz, J., Merz, B., and Thieken, A. H.: Is flow velocity a significant parameter in flood damage modelling?, Nat. Hazards Earth Syst. Sci., 9, 1679–1692, https://doi.org/10.5194/nhess-9-1679-2009, 2009.
Kulp, S. A. and Strauss, B. H.: CoastalDEM: A global coastal digital
elevation model improved from SRTM using a neural network, Remote Sens.
Environ., 206, 231–239, https://doi.org/10.1016/j.rse.2017.12.026, 2018.
Kulp, S. A. and Strauss, B. H.: New elevation data triple estimates of
global vulnerability to sea-level rise and coastal flooding, Nat.
Commun., 10, 4844, https://doi.org/10.1038/s41467-019-12808-z, 2019.
LaLonde, T., Shortridge, A., and Messina, J.: The Influence of Land Cover on
Shuttle Radar Topography Mission (SRTM) Elevations in Low-relief Areas,
Trans. GIS, 14, 461–479,
https://doi.org/10.1111/j.1467-9671.2010.01217.x, 2010.
Le Binh, T. H., Umamahesh, N. V., and Rathnam, E. V.: High-resolution flood
hazard mapping based on nonstationary frequency analysis: case study of Ho
Chi Minh City, Vietnam, Hydrol. Sci. J., 64, 318–335,
https://doi.org/10.1080/02626667.2019.1581363, 2019.
Le Dung, T., Le Phu, V., Lan, N. H. M., Tien, N. T. C., and Hiep, L. D.:
Sustainable Urban Drainage System Model for The Nhieu Loc – Thi Nghe Basin,
Ho Chi Minh City, IOP Conf. Ser.: Earth Environ. Sci., 652, 12012,
https://doi.org/10.1088/1755-1315/652/1/012012, 2021.
Lindsay, J. B.: Efficient hybrid breaching-filling sink removal methods for
flow path enforcement in digital elevation models, Hydrol. Process., 30,
846–857, https://doi.org/10.1002/hyp.10648, 2016.
Liu, J., Shao, W., Xiang, C., Mei, C., and Li, Z.: Uncertainties of urban
flood modeling: Influence of parameters for different underlying surfaces,
Environ. Res., 182, 108929,
https://doi.org/10.1016/j.envres.2019.108929, 2020.
Liu, L., Liu, Y., Wang, X., Yu, D., Liu, K., Huang, H., and Hu, G.: Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata, Nat. Hazards Earth Syst. Sci., 15, 381–391, https://doi.org/10.5194/nhess-15-381-2015, 2015.
Loc, H. H., Babel, M. S., Weesakul, S., Irvine, K., and Duyen, P.:
Exploratory Assessment of SUDS Feasibility in Nhieu Loc-Thi Nghe Basin, Ho
Chi Minh City, Vietnam, British J. Environ. Clim.
Change, 5, 91–103, https://doi.org/10.9734/BJECC/2015/11534, 2015.
Meesuk, V., Vojinovic, Z., Mynett, A. E., and Abdullah, A. F.: Urban flood
modelling combining top-view LiDAR data with ground-view SfM observations,
Adv. Water Resour., 75, 105–117,
https://doi.org/10.1016/j.advwatres.2014.11.008, 2015.
Mehta, D. J., Eslamian, S., and Prajapati, K.: Flood modelling for a
data-scare semi-arid region using 1-D hydrodynamic model: a case study of
Navsari Region, Model. Earth Syst. Environ., 8, 2675–2685,
https://doi.org/10.1007/s40808-021-01259-5, 2022.
Menabde, M., Seed, A., and Pegram, G.: A simple scaling model for extreme
rainfall, Water Resour. Res., 35, 335–339,
https://doi.org/10.1029/1998WR900012, 1999.
Miedema, F.: Open Science: the Very Idea, Springer Netherlands, Dordrecht,
https://doi.org/10.1007/978-94-024-2115-6, XXII, 1–247 pp., 2022.
Minderhoud, P. S. J., Coumou, L., Erkens, G., Middelkoop, H., and
Stouthamer, E.: Mekong delta much lower than previously assumed in sea-level
rise impact assessments, Nat. Commun., 10, 3847,
https://doi.org/10.1038/s41467-019-11602-1, 2019.
Molinari, D., Menoni, S., Aronica, G. T., Ballio, F., Berni, N., Pandolfo, C., Stelluti, M., and Minucci, G.: Ex post damage assessment: an Italian experience, Nat. Hazards Earth Syst. Sci., 14, 901–916, https://doi.org/10.5194/nhess-14-901-2014, 2014.
Mons, B., Neylon, C., Velterop, J., Dumontier, M., Da Silva Santos, L. O.
B., and Wilkinson, M. D.: Cloudy, increasingly FAIR; revisiting the FAIR
Data guiding principles for the European Open Science Cloud, ISU, 37,
49–56, https://doi.org/10.3233/ISU-170824, 2017.
Moramarco, T., Barbetta, S., Bjerklie, D. M., Fulton, J. W., and Tarpanelli,
A.: River Bathymetry Estimate and Discharge Assessment from Remote Sensing,
Water Resour. Res., 55, 6692–6711, https://doi.org/10.1029/2018WR024220,
2019.
Moy de Vitry, M., Kramer, S., Wegner, J. D., and Leitão, J. P.: Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network, Hydrol. Earth Syst. Sci., 23, 4621–4634, https://doi.org/10.5194/hess-23-4621-2019, 2019.
Muhadi, N. A., Abdullah, A. F., Bejo, S. K., Mahadi, M. R., and Mijic, A.:
Deep Learning Semantic Segmentation for Water Level Estimation Using
Surveillance Camera, Appl. Sci., 11, 9691,
https://doi.org/10.3390/app11209691, 2021.
Musolino, G., Ahmadian, R., Xia, J., and Falconer, R. A.: Mapping the danger
to life in flash flood events adopting a mechanics based methodology and
planning evacuation routes, J. Flood Risk Manage., 13,
https://doi.org/10.1111/jfr3.12627, 2020.
NASA: Shuttle Radar Topography Mission (SRTM), NASA Earth Data [data set], https://www.earthdata.nasa.gov/sensors/srtm, last access: 20 June, 2023.
Neal, J., Schumann, G., and Bates, P.: A subgrid channel model for
simulating river hydraulics and floodplain inundation over large and data
sparse areas, Water Resour. Res., 48, W11506, https://doi.org/10.1029/2012WR012514,
2012.
Nguyen, H. Q., Radhakrishnan, M., Bui, T. K. N., Tran, D. D., Ho, L. P.,
Tong, V. T., Huynh, L. T. P., Chau, N. X. Q., Ngo, T. T. T., Pathirana, A.,
and Ho, H. L.: Evaluation of retrofitting responses to urban flood risk in
Ho Chi Minh City using the Motivation and Ability (MOTA) framework,
Sustain. Cities Soc., 47, 101465,
https://doi.org/10.1016/j.scs.2019.101465, 2019.
Nguyen, Q. T.: The Main Causes of Land Subsidence in Ho Chi Minh City,
Proc. Eng., 142, 334–341,
https://doi.org/10.1016/j.proeng.2016.02.058, 2016.
Nhat, L. M., Tachikawa, Y., and Takara, K.: Establishment of
Intensity-Duration-Frequency Curves for Precipitation in the Monsoon Area of
Vietnam, Annuals of Disas. Prev. Res. Inst., 93–103, 2006.
Nkwunonwo, U. C., Whitworth, M., and Baily, B.: A review of the current
status of flood modelling for urban flood risk management in the developing
countries, Sci. African, 7, e00269,
https://doi.org/10.1016/j.sciaf.2020.e00269, 2020.
NOAA: Climate Data Online, NOAA [data set], https://www.ncdc.noaa.gov/cdo-web/ (last access: 14 September 2022), 2022.
O'Hara, R., Green, S., and McCarthy, T.: The agricultural impact of the
2015–2016 floods in Ireland as mapped through Sentinel 1 satellite imagery,
Irish J. Agr. Food Res., 58, 44–65,
https://doi.org/10.2478/ijafr-2019-0006, 2019.
Ozdemir, H., Sampson, C. C., de Almeida, G. A. M., and Bates, P. D.: Evaluating scale and roughness effects in urban flood modelling using terrestrial LIDAR data, Hydrol. Earth Syst. Sci., 17, 4015–4030, https://doi.org/10.5194/hess-17-4015-2013, 2013.
Pandya, U., Patel, D. P., and Singh, S. K.: A flood assessment of data
scarce region using an open-source 2D hydrodynamic modeling and Google Earth
Image: a case of Sabarmati flood, India, Arab. J. Geosci., 14, 2200,
https://doi.org/10.1007/s12517-021-08504-2, 2021.
Patro, S., Chatterjee, C., Singh, R., and Raghuwanshi, N. S.: Hydrodynamic
modelling of a large flood-prone river system in India with limited data,
Hydrol. Process., 23, 2774–2791, https://doi.org/10.1002/hyp.7375, 2009.
Phung, P.: Climate change adaptation planning under uncertainty in Ho Chi
Minh City, Vietnam: a case study on institutional vulnerability, adaptive
capacity and climate change governance, PhD, Planning and Stransport,
University of Westminster, Westminster, https://westminsterresearch.westminster.ac.uk/ (last access: 13 June 2023), 1–323 pp., 2016.
Planet Observer: PlanetDEM 30 Plus, Planet Observer [data set], https://www.planetobserver.com/global-elevation-data (last access: 13 June 2023), 2017.
Quan, N. H., Hieu, N. D., van Thu, T. T., Buchanan, M., Canh, N. D., da
Cunha Oliveira Santos, M., Luan, P. D. M. H., Hoang, T. T., Phung, H. L. T.,
Canh, K. M., and Smith, M.: Green Infrastructure Modelling for Assessment of
Urban Flood Reduction in Ho Chi Minh city, in: CIGOS 2019, Innovation for
Sustainable Infrastructure, edited by: Ha-Minh, C., van Dao, D.,
Benboudjema, F., Derrible, S., Huynh, D. V. K., and Tang, A. M., Springer
Singapore, Singapore, 1105–1110,
https://doi.org/10.1007/978-981-15-0802-8_177, 2020.
Quân, N. T., Nhi, P. T. T., and Khôi, D. N.: Xây dụng du'òng cong IDF mu'a c
Rättich, M., Martinis, S., and Wieland, M.: Automatic Flood Duration
Estimation Based on Multi-Sensor Satellite Data, Remote Sens., 12, 643,
https://doi.org/10.3390/rs12040643, 2020.
René, J.-R., Djordjević, S., Butler, D., Madsen, H., and Mark, O.:
Assessing the potential for real-time urban flood forecasting based on a
worldwide survey on data availability, Urban Water J., 11, 573–583,
https://doi.org/10.1080/1573062X.2013.795237, 2014.
Rexer, M. and Hirt, C.: Comparison of free high resolution digital elevation
data sets (ASTER GDEM2, SRTM v2.1/v4.1) and validation against accurate
heights from the Australian National Gravity Database, Aust. J.
Earth Sci., 61, 213–226, https://doi.org/10.1080/08120099.2014.884983,
2014.
Saigon Port Joint Stock Company: Port Information, Saigon Port Joint Stock
Company, http://csg.com.vn/thong-tin/ha-tang-trang-thiet-bi (last access:
22 July 2022), 2019.
Sampson, C. C., Smith, A. M., Bates, P. D., Neal, J. C., and Trigg, M. A.:
Perspectives on Open Access High Resolution Digital Elevation Models to
Produce Global Flood Hazard Layers, Front. Earth Sci., 3, 85,
https://doi.org/10.3389/feart.2015.00085, 2016.
Sandbach, S. D., Nicholas, A. P., Ashworth, P. J., Best, J. L., Keevil, C.
E., Parsons, D. R., Prokocki, E. W., and Simpson, C. J.: Hydrodynamic
modelling of tidal-fluvial flows in a large river estuary, Estuarine,
Coastal Shelf Sci., 212, 176–188,
https://doi.org/10.1016/j.ecss.2018.06.023, 2018.
Sanders, B. F.: Evaluation of on-line DEMs for flood inundation modeling,
Adv. Water Resour., 30, 1831–1843,
https://doi.org/10.1016/j.advwatres.2007.02.005, 2007.
Sandink, D.: Urban flooding and ground-related homes in Canada: an overview,
J. Flood Risk Manage., 9, 208–223,
https://doi.org/10.1111/jfr3.12168, 2016.
Scheiber, L., David, C. G., Hoballah Jalloul, M., Visscher, J., Nguyen, H. Q., Leitold,
R., Revilla Diez, J., and Schlurmann, T.: Low-regret climate change adaptation in coastal megacities – evaluating large-scale flood protection and small-scale rainwater detention measures for Ho Chi Minh City, Vietnam, Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, 2023.
Schellekens, J., Brolsma, R. J., Dahm, R. J., Donchyts, G. V., and
Winsemius, H. C.: Rapid setup of hydrological and hydraulic models using
OpenStreetMap and the SRTM derived digital elevation model, Environ.
Model. Softw., 61, 98–105,
https://doi.org/10.1016/j.envsoft.2014.07.006, 2014.
Schlurmann, T., Kongko, W., Goseberg, N., Natawidjaja, D. H., and Sieh, K.:
Near-field tsunami hazard map Padang, West Sumatra: Utilizing high
resolution geospatial data and reseasonable source scenarios, in: Coastal Engineering Proceedings: Proceedings of the International Conference on Coastal Engineering 32 (ICCE 2010), Management 26, Reston: American Society of Civil Engineers,
https://doi.org/10.15488/1839, 2010.
Schumann, G. J.-P. and Bates, P. D.: The Need for a High-Accuracy,
Open-Access Global DEM, Front. Earth Sci., 6, 225,
https://doi.org/10.3389/feart.2018.00225, 2018.
Schumann, G. J.-P., Bates, P. D., Neal, J. C., and Andreadis, K. M.:
Technology: Fight floods on a global scale, Nature, 507, 169,
https://doi.org/10.1038/507169e, 2014.
Scussolini, P., van Tran, T. T., Koks, E., Diaz-Loaiza, A., Ho, P. L., and
Lasage, R.: Adaptation to Sea Level Rise: A Multidisciplinary Analysis for
Ho Chi Minh City, Vietnam, Water Resour. Res., 53, 10841–10857,
https://doi.org/10.1002/2017WR021344, 2017.
Selaman, O. S., Said, S., and Ptuhena, F. J.: Flood Frequency Analysis for
Sarawak Using Weibull, Grigorten And L-Moments Formula, J. The
Inst. Eng., Malaysia, 68, 43–52, 2007.
Shortridge, A. and Messina, J.: Spatial structure and landscape associations
of SRTM error, Remote Sens. Environ., 115, 1576–1587,
https://doi.org/10.1016/j.rse.2011.02.017, 2011.
Shrestha, B. B., Okazumi, T., Miyamoto, M., and Sawano, H.: Flood damage
assessment in the Pampanga river basin of the Philippines, J. Flood
Risk Manage., 9, 355–369, https://doi.org/10.1111/jfr3.12174, 2016.
Storch, H.: Exploring the spatial-temporal linkages of climate response and
rapid urban growth in Ho Chi Minh City, 47th ISOCARP Congress, 24–28 October 2011, Wuhan, China, http://www.isocarp.net/Data/case_studies/1927.pdf (last access: 13 January 2023), 1–8 pp., 2011.
Takaku, J. and Tadono, T.: Quality updates of “AW3D” global DSM generated
from ALOS PRISM, in: 2017 IEEE International Geoscience and Remote Sensing
Symposium (IGARSS), Fort Worth, TX, 23–28 July 2017, 5666–5669, 2017.
Tang, J. C. S., Vongvisessomjai, S., and Sahasakmontri, K.: Estimation of
flood damage cost for Bangkok, Water Resour. Manage., 6, 47–56,
https://doi.org/10.1007/BF00872187, 1992.
Taubenböck, H., Goseberg, N., Setiadi, N., Lämmel, G., Moder, F., Oczipka, M., Klüpfel, H., Wahl, R., Schlurmann, T., Strunz, G., Birkmann, J., Nagel, K., Siegert, F., Lehmann, F., Dech, S., Gress, A., and Klein, R.: ”Last-Mile” preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia, Nat. Hazards Earth Syst. Sci., 9, 1509–1528, https://doi.org/10.5194/nhess-9-1509-2009, 2009.
Thieken, A. H., Müller, M., Kreibich, H., and Merz, B.: Flood damage and
influencing factors: New insights from the August 2002 flood in Germany,
Water Resour. Res., 41, W12430, https://doi.org/10.1029/2005WR004177, 2005.
Thorne, C. R., Lawson, E. C., Ozawa, C., Hamlin, S. L., and Smith, L. A.:
Overcoming uncertainty and barriers to adoption of Blue-Green Infrastructure
for urban flood risk management, J.f Flood Risk Manage., 11,
S960–S972, https://doi.org/10.1111/jfr3.12218, 2015.
Tighe, M. and Chamberlain, D.: Accuray Comparsion of the SRTM, ASTER, NED,
NEXTMAP USA Digital Terrain Model over Several USA Study Sites DEMs,
Proceedings of the ASPRS/MAPPS 2009 Fall Conference, 16–19 November 2009, San Antonia, Texas, USA, https://www.asprs.org/a/publications/proceedings/sanantonio09/Tighe_2.pdf (last access: 13 June 2023), 1–12 pp., 2009.
Trameco S. A.: The infrastructure: Wharf and mining equipment, Trameco,
http://www.tracomeco.com/10/66/Co-so-ha-tang.aspx (last access: 22 July 2022),
2014.
Tran Ngoc, T. D., Perset, M., Strady, E., Phan, T. S. H., Vachaud, G.,
Quertamp, F., and Gratiot, N.: Ho Chi Minh City growing with water related
challenges, UNESCO, Paris, France, https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers17-07/010070478.pdf (last access: 13 June 2023), 1–29 pp., 2016.
Trinh, M. X. and Molkenthin, F.: Flood hazard mapping for data-scarce and
ungauged coastal river basins using advanced hydrodynamic models, high
temporal-spatial resolution remote sensing precipitation data, and satellite
imageries, Nat. Hazards, 109, 441–469,
https://doi.org/10.1007/s11069-021-04843-1, 2021.
Vernimmen, R., Hooijer, A., and Pronk, M.: New ICESat-2 Satellite LiDAR Data
Allow First Global Lowland DTM Suitable for Accurate Coastal Flood Risk
Assessment, Remote Sens., 12, 2827, https://doi.org/10.3390/rs12172827,
2020.
Vojinovic, Z. and Tutulic, D.: On the use of 1D and coupled 1D-2D modelling
approaches for assessment of flood damage in urban areas, Urban Water
J., 6, 183–199, https://doi.org/10.1080/15730620802566877, 2009.
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.
Wagenaar, D., de Jong, J., and Bouwer, L. M.: Multi-variable flood damage modelling with limited data using supervised learning approaches, Nat. Hazards Earth Syst. Sci., 17, 1683–1696, https://doi.org/10.5194/nhess-17-1683-2017, 2017.
Wang, Y., Chen, A. S., Fu, G., Djordjević, S., Zhang, C., and Savić,
D. A.: An integrated framework for high-resolution urban flood modelling
considering multiple information sources and urban features, Environ.
Modell. Softw., 107, 85–95,
https://doi.org/10.1016/j.envsoft.2018.06.010, 2018.
Watt, W. E., Chow, K. C. A., Hogg, W. D., and Lathem, K. W.: A 1-h urban
design storm for Canada, Can. J. Civ. Eng., 13, 293–300,
https://doi.org/10.1139/l86-041, 1986.
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J. J., Appleton, G., Axton,
M., Baak, A., Blomberg, N., Boiten, J.-W., Da Silva Santos, L. B., Bourne,
P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon,
O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A.
J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., Hoen, P. A. C. 't,
Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons,
A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R.,
Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz,
M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J.,
Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.:
The FAIR Guiding Principles for scientific data management and stewardship,
Sci. Data, 3, 160018, https://doi.org/10.1038/sdata.2016.18, 2016.
Yamazaki, D., O'Loughlin, F., Trigg, M. A., Miller, Z. F., Pavelsky, T. M.,
and Bates, P. D.: Development of the Global Width Database for Large Rivers,
Water Resour. Res., 50, 3467–3480, https://doi.org/10.1002/2013WR014664,
2014.
Yan, K., Tarpanelli, A., Balint, G., Moramarco, T., and Di Baldassarre, G.:
Exploring the Potential of SRTM Topography and Radar Altimetry to Support
Flood Propagation Modeling: Danube Case Study, J. Hydrol. Eng., 20, 4014048,
https://doi.org/10.1061/(ASCE)HE.1943-5584.0001018, 2015a.
Yan, K., Di Baldassarre, G., Solomatine, D. P., and Schumann, G. J.-P.: A
review of low-cost space-borne data for flood modelling: topography, flood
extent and water level, Hydrol. Process., 29, 3368–3387,
https://doi.org/10.1002/hyp.10449, 2015b.
Zhao, W., Kinouchi, T., and Nguyen, H. Q.: A framework for projecting future
intensity-duration-frequency (IDF) curves based on CORDEX Southeast Asia
multi-model simulations: An application for two cities in Southern Vietnam,
J. Hydrol., 598, 126461,
https://doi.org/10.1016/j.jhydrol.2021.126461, 2021.
Short summary
Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Numerical models are increasingly important for assessing urban flooding, yet reliable input...
Special issue
Altmetrics
Final-revised paper
Preprint