Article
Environmental Sciences
Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, Andre Niemann, Markus Quirmbach
Summary: This study presents a deep-learning-based forecast model for spatial and temporal prediction of pluvial flooding. The developed model can produce the flooding situation for the upcoming time steps as a sequence of flooding maps. Thus, a dynamic overview of the forthcoming flooding situation is generated to support the decision of crisis management actors.
Article
Green & Sustainable Science & Technology
Michel Craninx, Koen Hilgersom, Jef Dams, Guido Vaes, Thomas Danckaert, Jan Bronders
Summary: Climate change leads to more frequent and intense heavy rainstorms, resulting in increasingly severe floods with major socio-economic impacts, particularly in urban environments. Urban flood modelling helps assess these impacts and prepare for forecasted climate change scenarios.
Review
Engineering, Civil
Farzad Piadeh, Kourosh Behzadian, Amir M. Alani
Summary: This paper provides a comprehensive review of the current state and future trends of real-time flood forecasting models in urban drainage systems. It suggests that further investigation should be conducted on the combination of various real-time rainfall measurements and the inclusion of other real-time data, as well as the development of artificial intelligence techniques.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Xuelian Zhang, Aiqing Kang, Mao Ye, Qingxin Song, Xiaohui Lei, Hao Wang
Summary: Urban roads in China, particularly low-lying areas such as underpasses, tunnels, and culverts, are highly vulnerable to urban pluvial flooding. Through statistical analysis, it was found that the distribution of flood-prone points on roads corresponds strongly to the curvature parameters of the terrain. Effective drainage, along with terrain characteristics, plays a crucial role in flood-prone areas. The findings have significant implications for flood risk identification and the development of effective flood mitigation strategies.
Article
Engineering, Civil
Haocheng Huang, Weihong Liao, Xiaohui Lei, Chao Wang, Zhipeng Cai, Hao Wang
Summary: In order to reduce simulation errors caused by low resolution and poor vertical accuracy of DEM data, a novel urban terrain reconstruction method based on multisource data fusion (MDF) is proposed. A 1D-2D coupled pluvial flood model is used to verify the superiority of the proposed method. The results show that the proposed method reduces systematic elevation errors and improves simulation performance compared to conventional methods. The method is proven to be effective and low-cost for improving the accuracy of urban pluvial flooding simulation.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Petr Rapant, Jaromir Kolejka
Summary: This study introduces a method for designing an early warning system based on a different philosophy, using weather radar data and watershed drainage network data to monitor potential runoff increases on specific sections of watercourses. The generated alert only warns of a higher flash flooding hazard in specific sections of watercourses.
Article
Computer Science, Interdisciplinary Applications
Farzad Piadeh, Kourosh Behzadian, Albert S. Chen, Luiza C. Campos, Joseph P. Rizzuto, Zoran Kapelan
Summary: This study proposes a novel event-based decision support algorithm for real-time flood forecasting, which achieves higher accuracy in forecasting water level rise, especially for longer lead times (e.g., 2-3 hrs), compared to traditional models.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Environmental Sciences
Man Qi, Huabing Huang, Lin Liu, Xi Chen
Summary: With the rapid development of urbanization and global climate change, urban pluvial floods have become more frequent. However, there is still a lack of comprehensive understanding about the physical and social factors that influence this process. This paper proposes a novel approach to calculate the urban pluvial flooding risk index and investigates the impacts from different components at the catchment level.
Article
Geosciences, Multidisciplinary
Yuhan Yang, Jie Yin, Dandan Wang, Yufan Liu, Yi Lu, Weiguo Zhang, Shiyuan Xu
Summary: Increasing urban pluvial flood disasters have become a major challenge worldwide due to climate change and rapid urbanisation. This study developed an Agent-Based Model (ABM) for pluvial flood emergency evacuation, investigating the impacts of flooding on human behavior and evacuation. The study used the July 2021 pluvial flood event in Zhengzhou, China, to analyze and compare emergency evacuations. The results showed the importance of crowd behavior and the significant reduction in evacuees during extensive flooding. The ABM model developed in this study is proven to be effective and practical for urban flood emergency management decision-making.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Environmental Sciences
Christos Iliadis, Vassilis Glenis, Chris Kilsby
Summary: Flood risk in cities is a major threat that requires accurate representation of buildings and urban features in hydrodynamic models. This study reviews available approaches and implements two methods for representing buildings and urban features, allowing for performance comparison and discussion.
JOURNAL OF FLOOD RISK MANAGEMENT
(2023)
Article
Water Resources
Faria T. Zahura, Jonathan L. Goodall
Summary: Flooding has become more common in recent years, especially for coastal communities facing sea level rise. This study used machine learning to create a surrogate model for real-time flood forecasting, which showed promising results in predicting flood extent and depth. The surrogate model was able to differentiate between different flooding mechanisms and was validated using flood reports from a mobile app.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Engineering, Civil
Yun Xing, Dong Shao, Qiuhua Liang, Huili Chen, Xieyao Ma, Irfan Ullah
Summary: This paper proposes a novel approach for incorporating drainage loss effects into two-dimensional hydrodynamic overland flow simulations, and validates the feasibility and effectiveness of this method through field observations during severe flood events in an intensely urbanized area. The study reveals that drainage effects are crucial for urban flood patterns and low-lying areas with dense building complexes benefit more from these effects in a distributed manner. Additionally, variations in flood flows caused by drainage effects at inlets are observed to depend on the surrounding environment, highlighting the importance of considering both drainage effects and gravity effects in flood modeling.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Studies
Koorosh Azizi, Stephen Kofi Diko, Claudio I. Meier
Summary: Urban pluvial flooding is a global challenge that is expected to worsen due to climate change and urbanisation. Current integrated approaches to address this issue are deemed insufficient. This study proposes a citizen science approach that integrates local knowledge with the understanding and interpretation of urban pluvial flooding, filling data gaps in hydrologic models and improving rainfall-runoff modelling. The application of this framework highlights the importance of community-based practices in fostering bi-directional learning and contributing to resilience building.
WATER ALTERNATIVES-AN INTERDISCIPLINARY JOURNAL ON WATER POLITICS AND DEVELOPMENT
(2023)
Article
Environmental Sciences
James L. Webber, Albert S. Chen, John Stevens, Rob Henderson, Slobodan Djordjevic, Barry Evans
Summary: The study found that individually targeting Property Flood Resilience (PFR) is more effective than focusing resources on specific high-risk areas. Targeting pluvial flood measures at individual properties can bring an average annual benefit of approximately 750 pounds. Similar results were achieved for targeting fluvial areas, but a zonal targeting approach may be more acceptable due to the concentration of hazards.
JOURNAL OF FLOOD RISK MANAGEMENT
(2021)
Article
Environmental Sciences
Lisa Dillenardt, Paul Hudson, Annegret H. Thieken
Summary: The study found that participants tend to install low- and medium-cost measures in response to pluvial flooding. Regression analyses showed that adaptive behavior is influenced by coping appraisal, as well as other factors like homeownership. These results suggest that a comprehensive understanding of the decision-making process regarding pluvial flood risk management requires consideration of various factors beyond just protection motivation theory.
JOURNAL OF FLOOD RISK MANAGEMENT
(2021)
Article
Water Resources
Priscila Barros Ramalho Alves, Slobodan Djordjevic, Akbar A. Javadi
Summary: The study proposes an integrated framework combining social and environmental sciences to map hazard-specific vulnerability and exposure in urban areas. Objective and subjective methods are integrated into a pixel-by-pixel framework to enhance flood management in Campina Grande, Brazil. The results express the spatial distribution of flood vulnerability and exposure and assess key issues for flood management in different vulnerability categories.
URBAN WATER JOURNAL
(2021)
Article
Environmental Sciences
James L. Webber, Albert S. Chen, John Stevens, Rob Henderson, Slobodan Djordjevic, Barry Evans
Summary: The study found that individually targeting Property Flood Resilience (PFR) is more effective than focusing resources on specific high-risk areas. Targeting pluvial flood measures at individual properties can bring an average annual benefit of approximately 750 pounds. Similar results were achieved for targeting fluvial areas, but a zonal targeting approach may be more acceptable due to the concentration of hazards.
JOURNAL OF FLOOD RISK MANAGEMENT
(2021)
Article
Environmental Sciences
Mayra Rodriguez, Guangtao Fu, David Butler, Zhiguo Yuan, Keshab Sharma
Summary: This study explores the spatial impact of GI location on urban drainage system resilience using ESDA, presenting a framework that integrates resilience assessment, location sensitivity analysis, and ESDA. Different types of GI exhibit differences in spatial autocorrelation and spatial cluster results, highlighting variances in their underlying mechanisms. Conflicting spatial clusters suggest trade-offs in the placement of GI in certain locations.
Article
Environmental Sciences
James L. Webber, Mariano Balbi, David Lallemant, Michael J. Gibson, Guangtao Fu, David Butler, Perrine Hamel
Summary: This study demonstrates the potential benefits and opportunities of regional scale green infrastructure management for stormwater, but also highlights some limitations that suggest it should be used as part of a suite of landscape management approaches.
Article
Water Resources
Kondwani Simukonda, Raziyeh Farmani, David Butler
Summary: This study developed four scenarios for water supply systems in Lusaka, Zambia and found that the non-revenue water management scenario is unsustainable, while the holistic scenario is the most sustainable.
URBAN WATER JOURNAL
(2022)
Article
Engineering, Environmental
Priscila Barros Ramalho Alves, Slobodan Djordjevic, Akbar A. Javadi
Summary: Nature-Based Solutions (NBS) provide multiple benefits for the environment and society, but their operationalisation is still in the early stages. This article develops a framework for analyzing flood risk mitigation in Brazil, involving spatial and participatory tools and engaging 255 stakeholders. The study identifies flood-prone areas and hotspots, and analyzes the multiple benefits of NBS alternatives in different scenarios. The importance of spatially assessing the 'needs' and 'multiple benefits' of NBS is highlighted.
WATER SCIENCE AND TECHNOLOGY
(2022)
Editorial Material
Environmental Sciences
Robert Sitzenfrei, Kegong Diao, David Butler
Article
Engineering, Environmental
Hamdy Elsayed, Slobodan Djordjevic, Dragan Savic, Ioannis Tsoukalas, Christos Makropoulos
Summary: A nexus-based approach is developed to explore cooperation opportunities in transboundary river basins while considering system operation and coordination under uncertain hydrologic river regimes. The approach is applied to the Nile river basin with a focus on the Grand Ethiopian Renaissance Dam (GERD), analysing the impact of different governance positions on hydropower generation and water supply.
Review
Engineering, Environmental
Guangtao Fu, Yiwen Jin, Siao Sun, Zhiguo Yuan, David Butler
Summary: This paper systematically reviews the current state and potential directions of deep learning applications in urban water systems management, finding that most studies are still in the early stages, with leakage detection leading towards practical implementation. Additionally, five key areas identified to advance the application and implementation of deep learning in urban water management.
Article
Environmental Sciences
Priscila B. R. Alves, Slobodan Djordjevic, Akbar A. Javadi
Summary: This paper emphasizes the importance of understanding local vulnerabilities before taking actions for flood risk mitigation. It introduces a participatory approach, Project PLANEJEEE, developed to understand the social and institutional vulnerabilities related to flood risk mitigation in Campina Grande, Brazil. The results reveal the need for resources to enhance individuals' coping capacity and their own risk protection, as well as the challenges and actions in the institutional context for flood risk mitigation.
JOURNAL OF FLOOD RISK MANAGEMENT
(2022)
Article
Environmental Sciences
Guangtao Fu, Chi Zhang, Jim W. Hall, David Butler
Summary: Nature-based solutions, such as sponge cities, have been advocated as a sustainable approach to urban stormwater management. However, there are limitations to their ability to absorb rainfall, making them insufficient in solving flooding problems in cities. This article argues that community-based measures are essential to transforming sponge cities into flood resilient cities. The prevalence of gated communities in Chinese cities provides a solid foundation for implementing these measures. The article discusses various community-based approaches, including resilience mapping, property-based measures, flood insurance, and social resilience building. It emphasizes the need for social transformation towards flood resilient communities.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2023)
Article
Green & Sustainable Science & Technology
Mehdi Khoury, Barry Evans, Otto Chen, Albert S. Chen, Lydia Vamvakeridou-Lyroudia, Dragan A. Savic, Slobodan Djordjevic, Dimitrios Bouziotas, Christos Makropoulos, Navonil Mustafee
Summary: Understanding the circular economy for water is challenging due to the complexity of the urban water cycle and its interrelations with other factors. To address this challenge, the NextGen Serious Game was developed as an online educational tool to explore the implications of circular economy strategies in different virtual catchments. The game has been successfully used in classrooms, debate facilitation, and even as a competitive tournament for water professionals, contributing to public understanding of water issues.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Environmental
Jessica Penny, Priscila B. R. Alves, Yenushi De-Silva, Albert S. Chen, Slobodan Djordjevic, Sangam Shrestha, Mukand Babel
Summary: Despite the growing research and applications of nature-based solutions (NBS), there is a lack of application and quantitative assessment of NBS in South East Asia. This study addresses this gap by using MCDA-GIS analysis to map the potential impact of NBS on flood hazard reduction in the Mun River Basin, Thailand. Wetlands, re/afforestation, and changing crop types were found to be effective strategies for mitigating flood and drought hazards. The results show that implementing NBS in the catchment decreases flood hazard, particularly through reforestation, and even more so when a combination of NBS is applied.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Water Resources
Jessica Penny, Dibesh Khadka, Mukand Babel, Priscila Alves, Slobodan Djordjevic, Albert S. Chen, Slobodan Djordjevic, Ho Huu Loc
Summary: This study assessed the flood and drought hazards for future climate in the Mun River basin. The results suggest that both flood and drought hazards are projected to increase in the near-future period, with some areas at particular risk, such as the Nakhon Ratchasima, Rio Et, and Si Sa Ket provinces.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Article
Environmental Sciences
Beatriz Emma Gutierrez Caloir, Yared Abayneh Abebe, Zoran Vojinovic, Arlex Sanchez, Adam Mubeen, Laddaporn Ruangpan, Natasa Manojlovic, Jasna Plavsic, Slobodan Djordjevic
Summary: The escalating impacts of climate change necessitate the dealing of hydro-meteorological hazards. Nature-based solutions (NBSs) are seen as a suitable response, integrating various disciplines. While small-scale NBSs have methods for suitability mapping, literature on the spatial allocation of large-scale NBSs is lacking. This research aims to develop new tools and enhance existing methodologies by developing spatial analysis tools within a GIS environment. The findings highlight the importance of incorporating machine learning, GIS, and remote sensing techniques for allocating large-scale NBSs.
BLUE-GREEN SYSTEMS
(2023)
