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A framework for modelling the probability of flooding under levee breaching J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-04-13 Thomas Wallace, Kaley Crawford‐Flett, Matthew Wilson, Tom Logan
Levees aim to provide protection during floods, however, these structures can breach, causing significant damage. Flood maps that include levee breaching are often limited to deterministic methods. Where probabilistic breaching is done, it often requires computationally expensive Monte Carlo simulations and an understanding of the geotechnical levee properties that are often limited. In this paper
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Sensitivity analysis on stormwater management response to land cover dynamics and urban expansion of developing City in Lake Hawassa watershed, Ethiopia J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-04-13 Abreham Birhane Kassay, Abraham Woldemichael Tuhar, Mihret Dananto Ulsido
Hawassa is a rapidly developing city in Lake Hawassa watershed of Ethiopia. Analyzing the effect of land cover dynamics on surface runoff remains imperative to adaptive urban stormwater management. This study quantified spatial variation of land cover and sensitivity of stormwater management response. Historical 30 years of daily annual rainfall, three satellite imageries, DEM, and hydrological soil
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Using multi‐criteria decision‐making methods in prioritizing structural flood control solutions: A case study from Iran J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-04-11 Hossein Hamidifar, Faezeh Yaghoubi, Pawel M. Rowinski
Effective management of flood risks requires the prioritization of appropriate flood control solutions. This study aims to prioritize structural flood control options using multi‐criteria decision‐making (MCDM) methods. Four MCDM methods, namely analytic hierarchy process, technique for order preference by similarity to ideal solution, multi‐criteria optimization and compromise solution, and Fuzzy‐VIKOR
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Gauged and historical abrupt wave front floods (‘walls of water’) in Pennine rivers, northern England J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-04-11 David Archer, Samuel Watkiss, Sarah Warren, Rob Lamb, Hayley J. Fowler
Extremely rapid rates of rise in level and discharge in a subset of flash floods (‘abrupt wave front floods’, AWF) are separate hazards from peak level. Such flood events are investigated for Pennine catchments in northern England using both gauged and historical information. Gauged level and flow digital records at 15‐min intervals provide recent data. Historical information for 122 AWF events is
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Remote sensing‐based mapping of structural building damage in the Ahr valley J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-27 Guilherme Samprogna Mohor, Tobias Sieg, Oliver Koch, Aaron Buhrmann, Holger Maiwald, Jochen Schwarz, Annegret H. Thieken
Flood damage data are needed for various applications. Structural damage of buildings can reflect not only the economic damage but also the life‐threatening condition of a building, which provide crucial information for disaster response and recovery. Since traditional on‐site data collection shortly after a disaster is challenging, remote sensing data can be of great help, cover a wider area and be
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Overcoming data utilization challenges for built environment flood resilience: Strategies and best practices J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-27 Pavithra Rathnasiri, Onaopepo Adeniyi, Niraj Thurairajah
Built environment flood resilience is a critical challenge facing communities worldwide. Amongst various efforts to resilience, the conception towards data utilization becomes popular with enormous technological advancements. Built environment creates varieties of data at larger volumes throughout their life cycle signifying that the importance of these data in the context of flood resilience cannot
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Quantifying compound flood event uncertainties in a wave and tidally dominated coastal region: The impacts of copula selection, sampling, record length, and precipitation gauge selection J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-26 Joseph T. D. Lucey, Timu W. Gallien
Coastal flooding is a growing hazard. Compound event characterization and uncertainty quantification are critical to accurate flood risk assessment. This study presents univariate, conditional, and joint probabilities for observed water levels, precipitation, and waves. Design events for 10‐ and 100‐year marine water level and precipitation events are developed. A total water level formulation explicitly
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Flood risk management of the future: A warning from a land down under J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-21 Brian R. Cook
Flooding and flood risk management have a long history in Australia. In 1817, frustrated by recurrent flood disasters and expenditures on disaster relief, the Governor of New South Wales, Lachlan Macquarie, wrote to settlers with a General Order recommending relocation of farmsand no compensation otherwise. This threat was precipitated by settlers building and occupying locations that endangered people
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Using geomorphologic indicators in preparation for flood zoning and flood risk maps in the Kashafroud basin, Iran J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-08 Ghasem Panahi, Saeed Reza Khodashenas, Alireza Faridhosseini
The risk of flooding has become more significant in many parts of the world due to climate change and increased urbanization. Flood has devastating effects on infrastructure, and communities, causing damage to property and loss of life. Simulation of flood extent in a particular area is done by using various mathematical models, hydrologic‐hydraulic models, and datasets. Flood modeling using hydraulic‐hydrological
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Beyond a fixed number: Investigating uncertainty in popular evaluation metrics of ensemble flood modeling using bootstrapping analysis J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-08 Tao Huang, Venkatesh Merwade
Evaluation of the performance of flood models is a crucial step in the modeling process. Considering the limitations of single statistical metrics, such as uncertainty bounds, Nash Sutcliffe efficiency, Kling Gupta efficiency, and the coefficient of determination, which are widely used in the model evaluation, the inherent properties and sampling uncertainty in these metrics are demonstrated. A comprehensive
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A comparative spatial analysis of flood susceptibility mapping using boosting machine learning algorithms in Rathnapura, Sri Lanka J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-03-07 Kumudu Madhawa Kurugama, So Kazama, Yusuke Hiraga, Chaminda Samarasuriya
Identifying flood‐prone areas is essential for preventing floods, reducing risks, and making informed decisions. A spatial database with 595 flood inventory and 13 flood predictors were used to implement five boosting algorithms: gradient boosting machine (GBM), extreme gradient boosting, categorical boosting, logit boost, and light gradient boosting machine (LGBM) to map flood susceptibility in Rathnapura
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Investigating the impact of woodland placement and percentage cover on flood peaks in an upland catchment using spatially distributed TOPMODEL J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-28 F. Monger, D. V. Spracklen, M. J. Kirkby, T. Willis
Woodlands can reduce downstream flooding, but it is not well known how the extent and distribution of woodland affects reductions in peak flow. We used the spatially distributed TOPMODEL to simulate peak flow during a 1 in 50 year storm event for a range of broadleaf woodland scenarios across a 2.6 km2 catchment in Northern England. Woodland reduced peak flow by 2.6%–15.3% depending on the extent and
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Automated first floor height estimation for flood vulnerability analysis using deep learning and Google Street View J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-27 Nafiseh Ghasemian Sorboni, Jinfei Wang, Mohammad Reza Najafi
Flood events can cause extensive damage to physical infrastructure, pose risks to human life, and necessitate the reoccupation and rehabilitation of affected areas. A key parameter for flood vulnerability assessment is the first floor height (FFH), which also plays an important role in setting insurance premiums. Traditional methods for FFH estimation rely on ground surveys and site inspections, yet
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Selection of representative indicators for flood risk assessment using marginal entropy and mutual information J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-24 Hongjun Joo, Wonyoung Choi, Chansoo Jeon
Floods are the most frequent types of natural disasters. From the perspective of disaster management, indicators associated with floods are important for accurate flood risk assessment. However, the application of all indicators related to flood risk assessment decreases the evaluation efficiency, because the definitions of the indicators may overlap. Moreover, the volume of data required for collection
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Questioning the use of ensembles versus individual climate model generated flows in future peak flood predictions: Plausibility and implications J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-24 Laxmi Prasad Devkota, Utsav Bhattarai, Rohini Devkota, Tek Maraseni, Suresh Marahatta
Accurate estimation of design floods is necessary for developing effective flood‐management strategies. Climate change (CC) studies on floods generally consider alterations in mean runoff using ensembles compared to a base period. In this study, we examined the plausibility and implications of applying individual climate model‐generated flows versus their ensembles to estimate peak floods (magnitude
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Integrating direct messaging with flood alerts and warnings: Insights into effectiveness from a registered public user population J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-17 Alistair Geddes, Andrew R. Black, Michael Cranston
Direct messaging involving simultaneous mass transmission of brief text or voice messages to large numbers of recipients has become a frontline method in flood hazard communications. Messages are intended to serve as cues, drawing recipients' attention to changing conditions, yet the actual effectiveness of direct messaging among recipient groups remains under-examined. This article considers direct
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Spatiotemporal variability of fall daily maximum flows in southern Quebec (Canada) from 1930 to 2018 J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-15 Ali A. Assani
Quebec is experiencing a significant increase in summer and fall temperatures and rainfall. This study compares the spatiotemporal variability of maximum daily flows generated by rainfall during the fall season (September–December) in relation to this climatic change and physiographic and land use factors. Analysis of the spatial variability of these maximum flows measured from 1930 to 2018 in 17 watersheds
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Flood risk investigation of pedestrians and vehicles in a mountainous city using a coupled coastal ocean and stormwater management model J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-20 Fei Liu, Chunjiao Ren, Yao Chen
To examine the attributes, underlying mechanisms, and impacts of rainfall patterns on the vulnerability of pedestrians and vehicles to flood‐induced instability within mountainous urban areas, we introduced an integrated urban flood model that combined the Storm Water Management Model (SWMM) and Finite Volume Coastal Ocean Model (FVCOM). We implemented this model in the Yuelai New Town of Chongqing
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Crowd-based spatial risk assessment of urban flooding: Results from a municipal flood hotline in Detroit, MI J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-13 Peter S. Larson, Jamie Steis Thorsby, Xinyu Liu, Eleanor King, Carol J. Miller
Climate change is increasing the frequency and intensity of extreme precipitation events, raising the risk of urban flood disasters. This study uses a crowd-sourced municipal call database to characterize the spatial distribution of flood risk in Detroit, MI. Call data including dates and addresses were obtained from the City of Detroit Department of Public Works for 2021. Calls were mapped and aggregated
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Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-07 Francesco Silvestro, Luca Molini, Fausto Guzzetti, Federico Schiavi, Fabio Castelli, Luca Ferraris
In compliance with the national legal framework, the regional offices (CFDs) of the Italian Civil Protection Department have the daily duty to issue warnings to the local population on the account of the weather and hydrology-related impacts, predicted by forecast models and refined through their expertise and experience: this composite of objective (model) and subjective (analyst) assessments are
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Qualitative investigations into floodways under extreme flood loading J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-02-06 Isaac Samuel Greene, Chamila Gunasekara, Weena Lokuge, Warna Karunasena
The Australian use of the term floodway refers to a trafficable transverse structure designed to facilitate the safe crossing of watercourses. Floodways are also commonly referred to as fords and causeways. This research explores areas of focus through experimental, numerical and survey methods to improve floodway resilience with regard to flood risk management. The industry-based survey provides a
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Greening the dike revetment with historic sod transplantation technique in a living lab J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-01-24 Kim van den Hoven, Carla J. Grashof-Bokdam, Pieter A. Slim, Ludolph Wentholt, Patrik Peeters, Davy Depreiter, André R. Koelewijn, Marte M. Stoorvogel, Mario van den Berg, Carolien Kroeze, Jantsje M. van Loon-Steensma
Coastal flood managers seek to anticipate future flood risk and as a result consider the adaptation of flood defences. Instead of crest heightening, dikes can be adapted to include hydrodynamic reducing vegetated foreshores to form a nature-based hybrid flood defence, for instance; at managed realignments. In this study we investigated the potential of vegetated revetments as a natural continuous connection
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Increasing urban flood resilience through public participation: A case study of Tuti Island in Khartoum, Sudan J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-01-10 Samah Abdel Rhman Mohammed Ahmed Tambal, Hanan Mohamed Hassan Elsawahli, Eltayeb Ibrahim Elmadih Ibrahim, Darren Lumbroso
Over the past 30 years, Sudan has experienced several severe floods which have caused loss of life and significant damage to property. The frequency and intensity of floods in Sudan are predicted to increase as a result of climate change. The main objective of this research was to assist policymakers in establishing a mechanism for public participation in Sudan to enable communities to be engaged in
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Recognition of differences in the capacity to deal with floods—A cross-country comparison of flood risk management J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-01-09 Mandy Paauw, Glen Smith, Ann Crabbé, Marie Fournier, Johan Munck af Rosenschöld, Sally Priest, Aino Rekola
Flood risks worldwide are increasing due to climate change. Managing these risks is ever more necessary. Although flood risk management (FRM) is often understood as a technical challenge, it also involves decisions about the distribution of resources and risks in floods, which can be inherently unfair. People are disparately affected by floods due to their location. Because of their various socioeconomic
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Macroscale impact assessment of flood damage reduction from climate change adaptation policies J. Flood Risk Manag. (IF 4.1) Pub Date : 2024-01-09 Hee Won Jee, Seung Beom Seo, Kyeong-Moon Ko, Jaepil Cho, Yeora Chae
Adaptation policies are being increasingly implemented to cope with the increased frequency of natural disasters due to climate change. However, it is crucial to quantitatively evaluate the mitigating effects of these policies, as this allows for their assessment and prioritization. Therefore, this study sought to develop a nonlinear flood damage function for each administrative region of South Korea
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Monitoring flood and drought risks in arid and semi-arid regions using remote sensing data and standardized precipitation index: A case study of Syria J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-12-22 Hany F. Abd-Elhamid, Martina Zeleňáková, Tatiana Soľáková, O. K. Saleh, Amr M. El-Dakak
Flood and drought are natural phenomena whose probability of occurrence increases with changing weather conditions. Climate change has affected the hydrologic cycle's parameters and led to changes in temperature and precipitation pattern, which may increase the probability of occurrence of floods and droughts. Arid and semi-arid areas are subject to extreme weather conditions and water resources scarcity
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Real-time prediction and ponding process early warning method at urban flood points based on different deep learning methods J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-12-18 Yihong Zhou, Zening Wu, Mengmeng Jiang, Hongshi Xu, Denghua Yan, Huiliang Wang, Chentao He, Xiangyang Zhang
Accurate prediction of urban floods is regarded as one of the critical means to prevent urban floods and reduce the losses caused by floods. In this study, a refined prediction and early warning method system for urban flood and waterlogging processes based on deep learning methods is proposed. The spatial autocorrelation of rain and ponding points is analyzed by Moran's I (a common used statistic
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Modeling the effects of levee setbacks on flood hydraulics J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-12-18 Roderick W. Lammers, Matthew Chambers, Brian P. Bledsoe
Relocating levees further back from river channels to increase river–floodplain connection can reduce flood stages and provide a host of co-benefits. Modeling case studies show the significant potential of large levee setbacks for reducing flood stages; however, the difficulty of comparing between these case studies limits our understanding of how the hydraulic effects of setbacks vary in different
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The FLOODLABEL as a social innovation in flood risk management to increase homeowners' resilience J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-12-08 Helene Meyer, Thomas Hartmann
In flood risk management awareness has been growing that the responsibility for coping with a flood cannot be assumed by the government alone. Homeowners need to be actively involved in flood risk management by taking responsibility; for this, they need empowerment and support to take adequate precautions. If homeowners implement precautionary measures, they can mitigate damage caused by floods and
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Interagency deployment of a shared low-cost flood monitoring system to improve flood resilience across Southeast Texas: A case study J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-12-08 Mubarak Adesina, Nicholas Brake, Liv Haselbach, Hossein Hariri Asli
In 2021, eight counties in Southeast Texas formed a non-tax authority flood control partnership to provide a forum for communication, create a regional database and improve flood modeling, early warning, and flood mitigation decisions. This partnership is able to successfully deploy and manage an early warning flood system network at relatively low-cost by: (i) assigning the university as technical
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Estimating disease burden of rotavirus in floodwater through traffic in the urban areas: A case study of Can Tho city, Vietnam J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-11-29 Thi Thao Nguyen Huynh, Nynke Hofstra, Hong Quan Nguyen, Stephen Baker, Assela Pathirana, Gerald A. Corzo Perez, Chris Zevenbergen
Microbial pathogens in urban floodwaters pose risks to human health, potentially causing diseases such as diarrhea. However, the disease burden related to urban traffic exposure from citizens passing through floodwaters is not easily quantified and therefore not included in many studies. Notably, this problem has received little attention in low-to-middle-income countries, with frequent flood events
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The predictability of daily rainfall during rainy season over East Asia by a Bayesian nonhomogeneous hidden Markov model J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-11-13 Qing Cao, Hanchen Zhang, Upmanu Lall, Tracy Holsclaw
Precipitation plays a significant role in human society and the environment, and how large-scale climatic features influence precipitation has obtained worldwide attention. The nonhomogeneous hidden Markov model (NHMM) is a typical method to downscale large-scale climatic elements to the regional level for many hydrologic applications. The traditional NHMM using point estimates of parameters has the
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A user experience evaluation of a mobile application for disseminating site-specific impact-based flood warnings: The A4alerts app J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-11-10 Erika R. Meléndez-Landaverde, Daniel Sempere-Torres
People-centred early warning systems must ensure that their warnings are timely, actionable and get to the largest number of exposed individuals in the shortest time possible. Due to the increased access to high-bandwidth communication, mobile applications have become a valuable complement to traditional sources of emergency information. However, there is limited research on how useful end-users perceive
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Flood risks from failure of infrastructure J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-11-07 Paul Samuels
When preparing an editorial, members of the Editorial Board sometimes discuss cases of floods that are topical at the time of writing. In this editorial, I have chosen to reflect briefly on three catastrophic cases of flooding and consequential impacts following the failure of dams, which illustrate why the scope of the Journal of Flood Risk Management includes flood risks associated with dams. Although
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A comparison of the cost effectiveness of property-level adaptation and community-scale flood defences in reducing flood risk J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-11-01 Balqis M. Rehan, Jim W. Hall, Edmund C. Penning-Rowsell, Vance Zong Hao Tan
Adaptations to flood-proof individual properties (referred to here as property-level adaptation, PLA) provide a potential means of reducing flood risk at isolated properties, whilst conventional community-scale flood protection (CSFP) is usually more economical in protecting high-density urban spaces. This paper develops a risk-based framework to identify the tipping point when PLA measures become
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A decision-led evaluation approach for flood forecasting system developments: An application to the Global Flood Awareness System in Bangladesh J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-25 Sazzad Hossain, Hannah L. Cloke, Andrea Ficchì, Harshita Gupta, Linda Speight, Ahmadul Hassan, Elisabeth M. Stephens
Scientific and technical changes to flood forecasting models are implemented to improve forecasts. However, responses to such changes are complex, particularly in global models, and evaluation of improvements remains focussed on generalised skill assessments and not on the most relevant outcomes for those taking decisions. Recently, the Global Flood Awareness System (GloFAS) flood forecasting model
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Towards new design rainfall profiles for the United Kingdom J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-25 Roberto Villalobos Herrera, Stephen Blenkinsop, Selma B. Guerreiro, Murray Dale, Duncan Faulkner, Hayley J. Fowler
The Flood Studies Report (FSR) summer and winter design profiles are a key component of rainfall design guidance in the United Kingdom (UK). We have examined the rainfall profiles of over 70,000 extreme rainfall events with the original FSR profile methodology. This analysis reveals that rainfall profiles change with rainstorm duration but not season, contradicting one of the key assumptions in current
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Assessing the performance of parametric and non-parametric tests for trend detection in partial duration time series J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-20 Renato Amorim, Gabriele Villarini
The detection of nonstationarities in partial duration time series (PDS) depends on several factors, including the length of the time series, the selected statistical test, and the heaviness of the tail of the distribution. Because of the more limited attention received in the literature when compared to the trend detection on block maxima variables, we perform a Monte Carlo simulation study to evaluate
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Analyzing uncertainty in probable maximum precipitation estimation with large ensemble climate simulation data J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-16 Youngkyu Kim, Sunmin Kim, Yasuto Tachikawa
This study aimed to evaluate probable maximum precipitation (PMP) estimated using surface dew points (SDP) or actual precipitable water obtained from upper-air data (UAD) in the moisture-maximization method with the help of sufficient extreme precipitation events using large-scale climate ensemble simulation data (d4PDF). The deviations between the PMP variables estimated by the SDP and UAD approaches
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Nature-based Solutions for sustainable flood management in East Africa J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-11 Pauline Long'or Lokidor, Miho Taka, Craig Lashford, Susanne Charlesworth
Africa's population is expected to triple by 2050, owing to rapid urbanisation and overall demographic trends. The combined pressures of urbanisation and climate change impact the ecosystem and the services it provides. As a result, additional dangers such as increased flooding, and environmental disruption have risen. Therefore, devising adaptive solutions to mitigate flood risk impacts while also
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Recommendations to improve the interpretation of global flood forecasts to support international humanitarian operations for tropical cyclones J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-09 Linda Speight, Elizabeth Stephens, Laurence Hawker, Calum Baugh, Jeffrey Neal, Hannah Cloke, Stephen Grey, Helen Titley, Katherine Marsden, Tim Sumner, Andrea Ficchi, Christel Prudhomme, Leanne Archer, Juan Bazo, Jânio Dambo, Siobhan Dolan, Anna Lena Huhn, Francesca Moschini, James Savage, Andy Smith, Jamie Towner, Maureen Wanzala
International humanitarian organisations increasingly turn to forecast teams to support the coordination of efforts to respond to disasters caused by hazards such as tropical cyclones and large-scale fluvial floods. Such disasters often occur where there is limited local capacity or information available to support decision making and so global forecasting capacity is utilised to provide impact-based
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Plugging the holes: Identifying potential avenues and limitations for furthering Dutch civil society contributions towards flood resilience J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-09 Gerben J. Koers, Steven A. Forrest, Jitske van Popering-Verkerk
Climatic changes can cause unpredictability in flood regimes that traditional flood risk management (FRM) approaches may struggle with. Therefore, flood resilience is seen as a supplementation to these approaches, putting a larger emphasis on flood acceptance and minimising consequences. An (emergent) group contributing towards flood resilience is civil society. This paper examines how civil society
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Experimental and numerical modelling of water waves in sewer networks during sewer/surface flow interaction using a coupled ODE-SWE solver J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-10-06 Sadegh Moodi, Hossein Mahdizadeh, James Shucksmith, Matteo Rubinato, Mehdi Azhdary Moghaddam
Flooding in urban areas is expected to increase its magnitude and frequency in the future. Therefore, there is a strong need to better model sewer–surface flow interactions. Existing numerical methods are commonly based on simplified representations of sewer/surface mass exchange, and mainly validated in steady flow conditions. Current methodologies describing the propagation of transient conditions/waves
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Measuring urban waterlogging depths from video images based on reference objects J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-09-28 Kai Gao, Zhiyong Yang, Xichao Gao, Weiwei Shao, Haokun Wei, Tianyin Xu
Camera surveillance systems can record urban waterlogging processes. Objects with regular shapes and fixed sizes captured by the camera can be utilized to calculate urban waterlogging depths based on geometric principles. In this study, we propose a machine learning-based method to measure urban waterlogging depths using wheels and traffic buckets captured in video images as reference objects. This
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Effect of river cleaning on lowland drainage in South-Eastern Sumatra J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-09-17 Dwinata Aprialdi, Reza Mohammadpour, Afri Fajar, Ismail, Ali Torabi Haghighi, Bjørn Kløve
We study a tropical river in South-East Sumatra, where land drainage in the coastal zone has resulted in subsidence and increased flooding risks, exacerbated by sea tides. The novelty of this research is in determining the effect of tide on the lowland drainage system for forestry in a coastal tropical region and the impact of river cleaning on flood management. Five monitoring stations were set up
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Representing buildings and urban features in hydrodynamic flood models J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-09-19 Christos Iliadis, Vassilis Glenis, Chris Kilsby
Flood risk in cities and built-up areas is a major threat which is likely to grow due to increased urbanisation and climate change. It is a priority for urban planning, civil defence and insurance to accurately represent buildings and urban features in hydrodynamic models to assess flood risk to people, properties, assets and infrastructure in an uncertain future. The correct representation of urban
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Social network analysis of EU flood risk management plans: Case Finland J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-09-18 Thomas Banafa, Susa Eräranta, Lasse Peltonen, Marko Keskinen
Flood risks are increasing in Europe, and the EU Floods Directive is one of the main efforts to implement and harmonize effective flood risk governance and management among member states. At the same time, the ongoing shift from mere flood protection to multi-functional flood risk governance calls for increased collaboration among a diversity of actors, typically with varying interests and responsibilities
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Identifying and mapping the spatial distribution of regions prone to snowmelt flood hazards in the arid region of Central Asia: A case study in Xinjiang, China J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-09-18 Yan Liu, Jun min Zhang, Hong Huo, Yang Li, Xin yu Lu, Ni Wang, Yun Yang
Snowmelt floods are highly hazardous meteorological disasters that can potentially threaten human lives and property. Hence, snowmelt susceptibility mapping (SSM) plays an important role in flood prevention systems and aids emergency responders and flood risk managers. In this paper, a method of identifying snowmelt flood hazards is proposed, and a large-scale snowmelt flood hazard zonation scheme
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Managing rising residual flood risk: A national survey of Aotearoa-New Zealand J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-08-28 Xinyu Fu, Rob Bell, Juliana Reu Junqueira, Iain White, Silvia Serrao-Neumann
Flooding is one of the most frequent and costliest natural hazards around the world. Traditionally, flood risk management has relied on building protective structures such as levees and dams to protect assets based on historical data (e.g., 1% AEP flood), which encourages development on floodplains, provides a potentially false sense of security to communities, particularly in the context of climate
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Preparing for severe flooding: Flood risk management research leading to better flood preparedness J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-08-08 Andrew D. Binns
Catastrophic flooding events across the world are occurring with escalating consequences. This year, we have already seen severe flooding in New Zealand, China and Chile, to name just a few. Flood damages, exacerbated by changes in climate impacting weather patterns and alterations in land use, are escalating dramatically. The urgent need for a community to be well-prepared for the next flood event
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Using social media feeds for mapping and assessing areas affected by flooding due to tropical cyclones J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-31 Patrick Ken Kalonde, Blessings Chiepa, Alick Chisale Austin, Zola Manyungwa, Aubren Chirwa
From February to March 2023, Tropical Cyclone Freddy caused widespread flooding and mudslides in Madagascar, Mozambique, and most parts of Zimbabwe and southern Malawi. In Malawi, it was reported that more than 511 people lost their lives, 533 remain missing, and 563,602 people displaced (reliefweb, 2023). According to the Sendai Framework for Disaster Reduction, communities affected by disasters can
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Characterization of uncertainty in maximum tidal elevation near Bangladesh coastline due to uncertain sea level rise J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-30 Sifat Sarwar, Alistair G. L. Borthwick
The Ganges-Brahmaputra-Meghna delta is vulnerable to sea level rise from global warming. Based on sea level rise predictions for the year 2100 given in the 6th Assessment Report by the Intergovernmental Panel on Climate Change (IPCC), we examine the effect of uncertainty in sea level rise on maximum tidal elevation statistics at several locations along the Bangladesh coastline using a discretized derived
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Establishing a time-varying flood-wave impulse function combined with a dynamic machine-learning technique in response to the disturbance of boundary conditions J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-30 Pin-Chun Huang
To seek other alternative approaches besides numerical methods, the linearized Saint Venant equations were utilized to derive the channel response functions for simulating streamflow. This study advocates developing a new approach to make the temporal distribution of response functions more flexible by introducing time-varying reference parameters which depend on both the upstream inflow and the downstream
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The role of the courts in conflict resolution in UK flood risk management J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-27 Khizar Khalil, Edmund C. Penning-Rowsell
Conflicting interests in flood risk management (FRM) frequently arise, resulting in disputes which are often resolved through mutual agreement. Nevertheless, a small number of cases require legal intervention when negotiation or mediation fails. This can publicly reveal the conflict often hidden in these mutual agreements. The two areas that intersect to create this conflict are spatial planning and
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Effectiveness of UAV-based DTM and satellite-based DEMs for local-level flood modeling in Jamuna floodplain J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-24 Ashik Iqbal, M. Shahjahan Mondal, William Veerbeek, M. Shah Alam Khan, Hans Hakvoort
Open-source, satellite-based digital elevation models (DEMs) are widely used for flood modeling. However, studies on effectiveness of these DEMs in depicting local-level flood processes are limited. This study generated a high-resolution digital terrain model (DTM) based on unmanned aerial vehicle (UAV) photogrammetry and used in a two-dimensional (2D) hydrodynamic model (HEC-RAS) to simulate the flood
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Spontaneous volunteers and the flood disaster 2021 in Germany: Development of social innovations in flood risk management J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-20 Marina Bier, Ramian Fathi, Christiane Stephan, Anke Kahl, Frank Fiedrich, Alexander Fekete
In the response of the flood disaster in Germany 2021 a vast number of spontaneous volunteers (SVs) participated. They organized coordinating services, developed emergent forms of SVs and thus hold the potential to improve existing flood managing capacities. This raises the need for in-depth knowledge about SVs and organization, the use of information and communication technologies (ICT), social and
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Identifying flood response experiences in Iranian health system: A qualitative study J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-18 Ali Mohajervatan, Nahid Tavakoli, Hamidreza Khankeh, Ahmad Reza Raeisi, Golrokh Atighechian
One of the most essential purposes of the health system is to ensure that people affected by various disastrous events, such as floods, have access timely to basic health services. Therefore, enhancing the preparedness and response plans for such events should be a national priority. Because of the complexity and devastating impacts of floods on public health, it is a crucial to understand the various
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Evaluating the spatial application of multivariable flood damage models J. Flood Risk Manag. (IF 4.1) Pub Date : 2023-07-18 Ryan Paulik, Conrad Zorn, Liam Wotherspoon
Flood damage arises from complex interactions between flooding processes and socio-economic elements. Damage assessments for elements such as residential buildings rely on a modelled representation of local damage factors. Multivariable model approaches are well suited for damage prediction using detailed information on flood hazard and building characteristics. While broad explanatory variable ranges