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.
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.
Robert Lepper, Leon Jänicke, Ingo Hache, Christian Jordan, and Frank Kösters
EGUsphere, https://doi.org/10.5194/egusphere-2024-283, https://doi.org/10.5194/egusphere-2024-283, 2024
Short summary
Short summary
Coastal environments are often sheltered by intertidal flats and salt-marshes. These environments are at severe risk from drowning under sea level rise. Recent analyses in the Wadden Sea demonstrated tidal flats grew faster than the local mean sea level contrary to expectation. We found that tidal high and low water increased proportionally with SLR while coastal bathymetry evolution caused spatially-varying tidal adaptation with sharp increase-decrease edges at the coast.
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
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)
Impact-based flood forecasting in the Greater Horn of Africa
Compound droughts under climate change in Switzerland
Text-mining uncovers the unique dynamics of socio-economic impacts during multi-year drought
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
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
Review article: Towards improved drought prediction in the Mediterranean region – modeling approaches and future directions
Assessing typhoon-induced compound flood drivers: a case study in Ho Chi Minh City, Vietnam
The value of ultra-detailed survey data for an improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Assessing the ability of a new seamless short-range ensemble rainfall product to anticipate flash floods in the French Mediterranean area
Sentinel-1-based analysis of the severe flood over Pakistan 2022
Sensitivity analysis of erosion on the landward slope of an earthen flood defense located in southern France submitted to wave overtopping
Brief communication: SWM: Stochastic Weather Model for precipitation-related hazard assessments
Better prepared but less resilient: the paradoxical impact of frequent flood experience on adaptive behavior and resilience
Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations
An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States
Indicator-to-impact links to help improve agricultural drought preparedness in Thailand
Analyzing the informative value of alternative hazard indicators for monitoring drought hazard for human water supply and river ecosystems at the global scale
A methodological framework for the evaluation of short-range flash-flood hydrometeorological forecasts at the event scale
Hydrological drought forecasting under a changing environment in the Luanhe River basin
A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change
Brief communication: The potential use of low-cost acoustic sensors to detect rainfall for short-term urban flood warnings
Brief communication: On the extremeness of the July 2021 precipitation event in western Germany
A climate-conditioned catastrophe risk model for UK flooding
A globally applicable framework for compound flood hazard modeling
Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany
Brief communication: Inclusiveness in designing an early warning system for flood resilience
Evolution of multivariate drought hazard, vulnerability and risk in India under climate change
A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis
Bare-earth DEM generation from ArcticDEM and its use in flood simulation
Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps
How uncertain are precipitation and peak flow estimates for the July 2021 flooding event?
Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis
A multi-strategy-mode waterlogging-prediction framework for urban flood depth
Multiscale flood risk assessment under climate change: the case of the Miño River in the city of Ourense, Spain
Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data
Rare flood scenarios for a rapidly growing high-mountain city: Pokhara, Nepal
Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany
Brief communication: Western Europe flood in 2021 – mapping agriculture flood exposure from synthetic aperture radar (SAR)
Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin
A new index to quantify the extremeness of precipitation across scales
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.
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.
Christoph Nathanael von Matt, Regula Mülchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-6, https://doi.org/10.5194/nhess-2024-6, 2024
Revised manuscript accepted for NHESS
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 newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all investigated regions of Switzerland. Our results highlight the benefits and need of both mitigation and adaptation measures at early stages.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-228, https://doi.org/10.5194/nhess-2023-228, 2023
Revised manuscript accepted for NHESS
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's crucial to be ready for the challenges they bring.
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.
Theo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
EGUsphere, https://doi.org/10.5194/egusphere-2023-2432, https://doi.org/10.5194/egusphere-2023-2432, 2023
Short summary
Short summary
Mountain river confluences are hazardous during localized flooding events. Results from a physical model were used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and then the tributary sediment concentration controls morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
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.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
Short summary
Short summary
We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-179, https://doi.org/10.5194/nhess-2023-179, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
INSYDE 2.0, a tool for flood damage modelling 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.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
Short summary
Short summary
This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, and Wolfgang Wagner
Nat. Hazards Earth Syst. Sci., 23, 3305–3317, https://doi.org/10.5194/nhess-23-3305-2023, https://doi.org/10.5194/nhess-23-3305-2023, 2023
Short summary
Short summary
In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data were the only way of providing large-scale information on the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30 492 km2 that was flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
Clément Houdard, Adrien Poupardin, Philippe Sergent, Abdelkrim Bennabi, and Jena Jeong
Nat. Hazards Earth Syst. Sci., 23, 3111–3124, https://doi.org/10.5194/nhess-23-3111-2023, https://doi.org/10.5194/nhess-23-3111-2023, 2023
Short summary
Short summary
We developed a system able to to predict, knowing the appropriate characteristics of the flood defense structure and sea state, the return periods of potentially dangerous events as well as a ranking of parameters by order of uncertainty.
The model is a combination of statistical and empirical methods that have been applied to a Mediterranean earthen dike. This shows that the most important characteristics of the dyke are its geometrical features, such as its height and slope angles.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-160, https://doi.org/10.5194/nhess-2023-160, 2023
Revised manuscript accepted for NHESS
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 SWM, a stochastic weather model that produces catchment-scale stochastically 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.
Lisa Köhler, Torsten Masson, Sabrina Köhler, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 23, 2787–2806, https://doi.org/10.5194/nhess-23-2787-2023, https://doi.org/10.5194/nhess-23-2787-2023, 2023
Short summary
Short summary
We analyzed the impact of flood experience on adaptive behavior and self-reported resilience. The outcomes draw a paradoxical picture: the most experienced people are the most adapted but the least resilient. We find evidence for non-linear relationships between the number of floods experienced and resilience. We contribute to existing knowledge by focusing specifically on the number of floods experienced and extending the rare scientific literature on the influence of experience on resilience.
Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, and Kay Shelton
Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023, https://doi.org/10.5194/nhess-23-2769-2023, 2023
Short summary
Short summary
Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A new approach is presented to evaluate the spatial performance of an ensemble flood map forecast by comparison against remotely observed flooding extents. This is important for understanding forecast uncertainties and improving flood forecasting systems.
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, https://doi.org/10.5194/nhess-23-2663-2023, 2023
Short summary
Short summary
We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood mitigation across the Little Pee Dee and Lumber River watershed, the Carolinas, US. This area is strongly affected by climatic disasters, which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBSs can have visible effects on the reduction in hurricane-driven flooding.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023, https://doi.org/10.5194/nhess-23-2419-2023, 2023
Short summary
Short summary
Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
Short summary
Short summary
This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
Short summary
Short summary
This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
Short summary
Short summary
It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
Short summary
Short summary
Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
Short summary
Short summary
Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
Short summary
Short summary
Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, and Andrew Smith
Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, https://doi.org/10.5194/nhess-23-891-2023, 2023
Short summary
Short summary
We present and validate a model that simulates current and future flood risk for the UK at high resolution (~ 20–25 m). We show that UK flood losses were ~ 6 % greater in the climate of 2020 compared to recent historical values. The UK can keep any future increase to ~ 8 % if all countries implement their COP26 pledges and net-zero ambitions in full. However, if only the COP26 pledges are fulfilled, then UK flood losses increase by ~ 23 %; and potentially by ~ 37 % in a worst-case scenario.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
Short summary
Short summary
In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
Short summary
Short summary
Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 23, 667–674, https://doi.org/10.5194/nhess-23-667-2023, https://doi.org/10.5194/nhess-23-667-2023, 2023
Short summary
Short summary
Floods continue to be a wicked problem that require developing early warning systems with plausible assumptions of risk behaviour, with more targeted conversations with the community at risk. Through this paper we advocate the use of a SMART approach to encourage bottom-up initiatives to develop inclusive and purposeful early warning systems that benefit the community at risk by engaging them at every step of the way along with including other stakeholders at multiple scales of operations.
Venkataswamy Sahana and Arpita Mondal
Nat. Hazards Earth Syst. Sci., 23, 623–641, https://doi.org/10.5194/nhess-23-623-2023, https://doi.org/10.5194/nhess-23-623-2023, 2023
Short summary
Short summary
In an agriculture-dependent, densely populated country such as India, drought risk projection is important to assess future water security. This study presents the first comprehensive drought risk assessment over India, integrating hazard and vulnerability information. Future drought risk is found to be more significantly driven by increased vulnerability resulting from societal developments rather than climate-induced changes in hazard. These findings can inform planning for drought resilience.
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mário J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Marc Scheibel, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, https://doi.org/10.5194/nhess-23-525-2023, 2023
Short summary
Short summary
The flood event in July 2021 was one of the most severe disasters in Europe in the last half century. The objective of this two-part study is a multi-disciplinary assessment that examines the complex process interactions in different compartments, from meteorology to hydrological conditions to hydro-morphological processes to impacts on assets and environment. In addition, we address the question of what measures are possible to generate added value to early response management.
Yinxue Liu, Paul D. Bates, and Jeffery C. Neal
Nat. Hazards Earth Syst. Sci., 23, 375–391, https://doi.org/10.5194/nhess-23-375-2023, https://doi.org/10.5194/nhess-23-375-2023, 2023
Short summary
Short summary
In this paper, we test two approaches for removing buildings and other above-ground objects from a state-of-the-art satellite photogrammetry topography product, ArcticDEM. Our best technique gives a 70 % reduction in vertical error, with an average difference of 1.02 m from a benchmark lidar for the city of Helsinki, Finland. When used in a simulation of rainfall-driven flooding, the bare-earth version of ArcticDEM yields a significant improvement in predicted inundation extent and water depth.
Joseph L. Gutenson, Ahmad A. Tavakoly, Mohammad S. Islam, Oliver E. J. Wing, William P. Lehman, Chase O. Hamilton, Mark D. Wahl, and T. Christopher Massey
Nat. Hazards Earth Syst. Sci., 23, 261–277, https://doi.org/10.5194/nhess-23-261-2023, https://doi.org/10.5194/nhess-23-261-2023, 2023
Short summary
Short summary
Emergency managers use event-based flood inundation maps (FIMs) to plan and coordinate flood emergency response. We perform a case study test of three different FIM frameworks to see if FIM differences lead to substantial differences in the location and magnitude of flood exposure and consequences. We find that the FIMs are very different spatially and that the spatial differences do produce differences in the location and magnitude of exposure and consequences.
Mohamed Saadi, Carina Furusho-Percot, Alexandre Belleflamme, Ju-Yu Chen, Silke Trömel, and Stefan Kollet
Nat. Hazards Earth Syst. Sci., 23, 159–177, https://doi.org/10.5194/nhess-23-159-2023, https://doi.org/10.5194/nhess-23-159-2023, 2023
Short summary
Short summary
On 14 July 2021, heavy rainfall fell over central Europe, causing considerable damage and human fatalities. We analyzed how accurate our estimates of rainfall and peak flow were for these flooding events in western Germany. We found that the rainfall estimates from radar measurements were improved by including polarimetric variables and their vertical gradients. Peak flow estimates were highly uncertain due to uncertainties in hydrological model parameters and rainfall measurements.
Arefeh Safaei-Moghadam, David Tarboton, and Barbara Minsker
Nat. Hazards Earth Syst. Sci., 23, 1–19, https://doi.org/10.5194/nhess-23-1-2023, https://doi.org/10.5194/nhess-23-1-2023, 2023
Short summary
Short summary
Climate change, urbanization, and aging infrastructure contribute to flooding on roadways. This study evaluates the potential for flood reports collected from Waze – a community-based navigation app – to predict these events. Waze reports correlate primarily with low-lying depressions on roads. Therefore, we developed two data-driven models to determine whether roadways will flood. Analysis showed that in the city of Dallas, drainage area and imperviousness are the most significant contributors.
Zongjia Zhang, Jun Liang, Yujue Zhou, Zhejun Huang, Jie Jiang, Junguo Liu, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 4139–4165, https://doi.org/10.5194/nhess-22-4139-2022, https://doi.org/10.5194/nhess-22-4139-2022, 2022
Short summary
Short summary
An innovative multi-strategy-mode waterlogging-prediction framework for predicting waterlogging depth is proposed in the paper. The framework selects eight regression algorithms for comparison and tests the prediction accuracy and robustness of the model under different prediction strategies. Ultimately, the accuracy of predicting water depth after 30 min can exceed 86.1 %. This can aid decision-making in terms of issuing early warning information and determining emergency responses in advance.
Diego Fernández-Nóvoa, Orlando García-Feal, José González-Cao, Maite deCastro, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3957–3972, https://doi.org/10.5194/nhess-22-3957-2022, https://doi.org/10.5194/nhess-22-3957-2022, 2022
Short summary
Short summary
A multiscale analysis, where the historical and future precipitation data from the CORDEX project were used as input in a hydrological model (HEC-HMS) that, in turn, feeds a 2D hydraulic model (Iber+), was applied to the case of the Miño-Sil basin (NW Spain), specifically to Ourense city, in order to analyze future changes in flood hazard. Detailed flood maps indicate an increase in the frequency and intensity of future floods, implying an increase in flood hazard in important areas of the city.
Jaime Gaona, Pere Quintana-Seguí, María José Escorihuela, Aaron Boone, and María Carmen Llasat
Nat. Hazards Earth Syst. Sci., 22, 3461–3485, https://doi.org/10.5194/nhess-22-3461-2022, https://doi.org/10.5194/nhess-22-3461-2022, 2022
Short summary
Short summary
Droughts represent a particularly complex natural hazard and require explorations of their multiple causes. Part of the complexity has roots in the interaction between the continuous changes in and deviation from normal conditions of the atmosphere and the land surface. The exchange between the atmospheric and surface conditions defines feedback towards dry or wet conditions. In semi-arid environments, energy seems to exceed water in its impact over the evolution of conditions, favoring drought.
Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 22, 3105–3123, https://doi.org/10.5194/nhess-22-3105-2022, https://doi.org/10.5194/nhess-22-3105-2022, 2022
Short summary
Short summary
Nepal’s second-largest city has been rapidly growing since the 1970s, although its valley has been affected by rare, catastrophic floods in recent and historic times. We analyse potential impacts of such floods on urban areas and infrastructure by modelling 10 physically plausible flood scenarios along Pokhara’s main river. We find that hydraulic effects would largely affect a number of squatter settlements, which have expanded rapidly towards the river by a factor of up to 20 since 2008.
Heiko Apel, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 22, 3005–3014, https://doi.org/10.5194/nhess-22-3005-2022, https://doi.org/10.5194/nhess-22-3005-2022, 2022
Short summary
Short summary
The paper presents a fast 2D hydraulic simulation model for flood propagation that enables operational forecasts of spatially distributed inundation depths, flood extent, flow velocities, and other flood impacts. The detailed spatial forecast of floods and flood impacts is a large step forward from the currently operational forecasts of discharges at selected gauges, thus enabling a more targeted flood management and early warning.
Kang He, Qing Yang, Xinyi Shen, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 22, 2921–2927, https://doi.org/10.5194/nhess-22-2921-2022, https://doi.org/10.5194/nhess-22-2921-2022, 2022
Short summary
Short summary
This study depicts the flood-affected areas in western Europe in July 2021 and particularly the agriculture land that was under flood inundation. The results indicate that the total inundated area over western Europe is about 1920 km2, of which 1320 km2 is in France. Around 64 % of the inundated area is agricultural land. We expect that the agricultural productivity in western Europe will have been severely impacted.
Daniel Viviroli, Anna E. Sikorska-Senoner, Guillaume Evin, Maria Staudinger, Martina Kauzlaric, Jérémy Chardon, Anne-Catherine Favre, Benoit Hingray, Gilles Nicolet, Damien Raynaud, Jan Seibert, Rolf Weingartner, and Calvin Whealton
Nat. Hazards Earth Syst. Sci., 22, 2891–2920, https://doi.org/10.5194/nhess-22-2891-2022, https://doi.org/10.5194/nhess-22-2891-2022, 2022
Short summary
Short summary
Estimating the magnitude of rare to very rare floods is a challenging task due to a lack of sufficiently long observations. The challenge is even greater in large river basins, where precipitation patterns and amounts differ considerably between individual events and floods from different parts of the basin coincide. We show that a hydrometeorological model chain can provide plausible estimates in this setting and can thus inform flood risk and safety assessments for critical infrastructure.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 22, 2791–2805, https://doi.org/10.5194/nhess-22-2791-2022, https://doi.org/10.5194/nhess-22-2791-2022, 2022
Short summary
Short summary
To better understand how the frequency and intensity of heavy precipitation events (HPEs) will change with changing climate and to adapt disaster risk management accordingly, we have to quantify the extremeness of HPEs in a reliable way. We introduce the xWEI (cross-scale WEI) and show that this index can reveal important characteristics of HPEs that would otherwise remain hidden. We conclude that the xWEI could be a valuable instrument in both disaster risk management and research.
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