Flooding in Urban Areas: Risks and Responses

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 9072

Special Issue Editors


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Guest Editor
Institute of Meteorology and Water Management National Research Institute, Warszawa, Poland
Interests: flood; flood mapping; risk assessment; design flood hydrograph; hydrological modelling
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Guest Editor
Department of Hydrology and Water Management, Institute of Environmental Engineering, Wrocław University of Environmental and Life Sciences, pl. Grunwaldzki 24, 50-363 Wrocław, Poland
Interests: water management; water reservoir; water quality and protection; river systems; hydropower plant
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Meteorology and Water Management National Research Institute, Warszawa, Poland
Interests: risk assessment; extreme hydrometeorological events; environmental systems modelling

Special Issue Information

Dear Colleagues,

Flooding in urban areas is one of the major classes of disasters in modern towns and cities. A high proportion of impervious areas and altered natural drainage routes result in limited water infiltration, reduced capacity for excess water, large run-offs and overwhelmed drainage systems. Apart from surface water flooding, riverside towns are also at risk due to riverine flooding. The flood risk is expected to exacerbate significantly in the future as a result of the combination of climate change and demographic development. Extreme rainfall events are projected to become more intense and frequent, and are likely to increase the hazard of pluvial flooding. The effects of flooding will be most pronounced and damaging in urban areas where growing spatial density of population, properties and vital infrastructure will raise exposure to the hazard.

Intensification of these challenges requires a broad view of spatial, ecological, political and socio-economic aspects of risks management and tools for supporting decisions. Traditional engineering measures alone are unlikely to be able to provide protection; therefore, urban communities and the responsible authorities need to focus on a combination of spatial, technical and organizational measures that lead to an integrated management of urban flood risks. The central concern of this Special Issue “Flooding in Urban Areas: Risks and Responses” is to bring together the different aspects and perspectives of urban flood risks to provide a comprehensive overview and a discussion platform for recent advances and trends that aims to explain urban flood risks and to show possible strategies through which they can be successfully managed. Relevant topics from researchers, practitioners, decision makers, policy makers and stockholders will be a valuable contribution to dialogue on how to build socio-hydrological resilience in urban areas.

Dr. Tamara Tokarczyk
Prof. Dr. Mirosław Wiatkowski
Dr. Wiwiana Szalińska
Guest Editors

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Keywords

  • causes and impacts of urban flood risk
  • urban hydrologic and hydraulic processes
  • scenarios and climate change in urban environments
  • data and models for urban water, sensitivity and uncertainty assessment
  • modelling interactions and integrated systems
  • stormwater management and real-time control of urban drainage systems
  • urban water quality, sewer process modelling and wastewater treatment
  • flood risk management plans in cities and best management practices

Published Papers (4 papers)

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Research

16 pages, 7350 KiB  
Article
Study of Urban Flooding Response under Superstandard Conditions
by Jian Chen, Yangyang Tian, Shanju Zhang, Yaowei Li and Zhikai Guo
Water 2023, 15(8), 1492; https://0-doi-org.brum.beds.ac.uk/10.3390/w15081492 - 11 Apr 2023
Cited by 1 | Viewed by 1196
Abstract
Superstandard conditions refer to extreme rainfall and river flooding that exceed the flood control system or flood control works. In order to explore the influence of superstandard conditions on urban waterlogging, based on the MIKE FLOOD platform, this paper takes the downtown area [...] Read more.
Superstandard conditions refer to extreme rainfall and river flooding that exceed the flood control system or flood control works. In order to explore the influence of superstandard conditions on urban waterlogging, based on the MIKE FLOOD platform, this paper takes the downtown area of Zhoukou as the research object, and it conducts waterlogging simulation in this area under the extreme rainfall conditions of once in 20 years and once in 50 years combined with the ultra-high water level of the river. The simulation results of inundation depth, inundation range and drainage capacity of a self-flowing river are compared and analyzed. The results show that heavy rainfall is the main cause of waterlogging disaster. When extreme rainfall and river flood occur at the same time, the artesian drainage capacity of the pipeline is seriously affected due to the high water level of the river. The city has a large amount of water, and when the river embankment overflows, it poses a serious threat to the safety of the city. Full article
(This article belongs to the Special Issue Flooding in Urban Areas: Risks and Responses)
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17 pages, 8990 KiB  
Article
A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Mark Text Classification
by Robert Szczepanek
Water 2023, 15(6), 1197; https://0-doi-org.brum.beds.ac.uk/10.3390/w15061197 - 20 Mar 2023
Cited by 5 | Viewed by 2947
Abstract
Information on historical flood levels can be communicated verbally, in documents, or in the form of flood marks. The latter are the most useful from the point of view of public awareness building and mathematical modeling of floods. Information about flood marks can [...] Read more.
Information on historical flood levels can be communicated verbally, in documents, or in the form of flood marks. The latter are the most useful from the point of view of public awareness building and mathematical modeling of floods. Information about flood marks can be found in documents, but nowadays, they are starting to appear more often on the Internet. The only problem is finding them. The aim of the presented work is to create a new model for classifying Internet sources using advanced text analysis (including named entity recognition), deep neural networks, and spatial analysis. As a novelty in models of this type, it was proposed to use a matrix of minimum distances between toponyms (rivers and towns/villages) found in the text. The resulting distance matrix for Poland was published as open data. Each of the methods used is well known, but so far, no one has combined them into one ensemble machine learning model in such a way. The proposed SD-NER model achieved an F1 score of 0.920 for the binary classification task, improving the model without this spatial module by 17%. The proposed model can be successfully implemented after minor modifications for other classification tasks where spatial information about toponyms is important. Full article
(This article belongs to the Special Issue Flooding in Urban Areas: Risks and Responses)
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23 pages, 20976 KiB  
Article
Assessment of the Potential Flood Hazard and Risk in the Event of Disasters of Hydrotechnical Facilities—The Exemplary Case of Cracow (Poland)
by Jerzy Grela
Water 2023, 15(3), 403; https://0-doi-org.brum.beds.ac.uk/10.3390/w15030403 - 18 Jan 2023
Cited by 3 | Viewed by 2093
Abstract
The article presents an analysis of the potential consequences for Cracow of failure of dams located in the Vistula catchment area upstream of the city. They have been compared with the effects of a flood with a probability of 0.2%. The estimation of [...] Read more.
The article presents an analysis of the potential consequences for Cracow of failure of dams located in the Vistula catchment area upstream of the city. They have been compared with the effects of a flood with a probability of 0.2%. The estimation of losses and damages was made on the basis of the results of model studies and flood hazard and flood risk assessments carried out as part of the analyses of the second planning cycle of the implementation of the Floods Directive in Poland. The MIKE 11 model was used to simulate flows in riverbeds and its Dambreak module is used to simulate dam failure. An adjustment of the loss index for Cracow’s residential areas was proposed. Some elements of the described methodology can be used to estimate flood losses in large cities. They can also be applied to cities that are not at risk of dam disasters. Full article
(This article belongs to the Special Issue Flooding in Urban Areas: Risks and Responses)
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20 pages, 5879 KiB  
Article
Economic Analysis of Flood Risk Applied to the Rehabilitation of Drainage Networks
by Leonardo Bayas-Jiménez, F. Javier Martínez-Solano, Pedro L. Iglesias-Rey and Fulvio Boano
Water 2022, 14(18), 2901; https://0-doi-org.brum.beds.ac.uk/10.3390/w14182901 - 16 Sep 2022
Viewed by 1659
Abstract
Over time, cities have grown, developing various activities and accumulating important economic assets. Floods are a problem that worry city administrators who seek to make cities more resilient and safer. This increase in flood events is due to different causes: poor planning, population [...] Read more.
Over time, cities have grown, developing various activities and accumulating important economic assets. Floods are a problem that worry city administrators who seek to make cities more resilient and safer. This increase in flood events is due to different causes: poor planning, population increase, aging of networks, etc. However, the two main causes for the increase in urban flooding are the increment in frequency of extreme rainfall, generated mainly by climate change, and the increase in urbanized areas in cities, which reduce green areas, decreasing the percentage of water that seeps naturally into the soil. As a contribution to solve these problems, the work presented shows a method to rehabilitate drainage networks that contemplates implementing different actions in the network: renovation of pipes, construction of storm tanks and installation of hydraulic controls. This work focuses on evaluating the flood risk in economic terms. To achieve this, the expected annual damage from floods and the annual investments in infrastructure to control floods are estimated. These two terms are used to form an objective function to be minimized. To evaluate this objective function, an optimization model is presented that incorporates a genetic algorithm to find the best solutions to the problem; the hydraulic analysis of the network is performed with the SWMM model. This work also presents a strategy to reduce computation times by reducing the search space focused mainly on large networks. This is intended to show a complete and robust methodology that can be used by managers and administrators of drainage networks in cities. Full article
(This article belongs to the Special Issue Flooding in Urban Areas: Risks and Responses)
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