Assessment of Urban Pluvial Flood Risk and Utilization of Rainwater & Flood Resources, 2nd Edition

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Urban Water Management".

Deadline for manuscript submissions: 20 January 2025 | Viewed by 4975

Special Issue Editors


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State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Resources, Beijing 100038, China
Interests: urban hydrology; eco-hydrology; water resources management
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E-Mail Website
Guest Editor
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Interests: water resources utilization; water resources planning; water resources regulation
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Interests: climate change; urban hydrology; hydrological model; flood prediction; sponge city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of urbanization, the impervious area of the earth's surface increases, thus accelerating the speed of runoff yield and flow concentration and increasing the risk of urban pluvial flooding. Rainfall patterns change significantly, and abnormal meteorological events occur frequently all over the world due to climate change. The frequency and magnitude of extreme rainfall in many regions, including certain parts of China, have a significant upward trend. Urban rainstorm and flooding risks are increasing under the dual effects of climate change and human activities. On the one hand, with dense urban populations and large concentrations of wealth, the occurrence of urban pluvial flooding will have more serious impacts on urban development and social life, thus causing more serious economic losses. On the other hand, as flood management strategies change, the utilization of unconventional water resources, such as rainfall and flood resources, has also become a new method of water conservation and utilization and is gaining increasing attention.

In recent years, new technologies, such as big data and cloud platforms, have improved the dynamic assessment of urban pluvial flooding and facilitated real-time scheduling for flooding control and drainage emergency management. We have organized this Special Issue in order to better understand the progress of urban flood assessment methods and to gain insight into the impact of urban flooding on different aspects of socio-economic activities, which will help us plan for future unconventional water resources use. The purpose of this Special Issue is to publish original, high-quality research papers as well as review articles, addressing recent advances in urban pluvial flood damage and risk assessment and rainwater and flood resources utilization, including methods and technologies in urban pluvial flood monitoring and simulation; traditional and dynamic assessment of urban flood risk; urban flood management; and utilization of unconventional water resources such as rainwater and flooding, etc.

We are here calling for papers from around the world with the aim of gathering wisdom, sharing knowledge surrounding urban pluvial flooding responses, urban water security, and high-quality development. Articles published in the Special Issue will be useful for a diverse audience, including urban hydrological scientists, urban flood control and drainage practitioners, emergency management policymakers, and non-specialist readers.

Prof. Dr. Weiwei Shao
Prof. Dr. Zhaohui Yang
Dr. Xichao Gao
Guest Editors

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Keywords

  • urban pluvial flood monitoring
  • urban pluvial flood simulation
  • urban pluvial flood prevention and control planning
  • urban pluvial flood risk assessment
  • urban pluvial flood risk management
  • rainwater and flood resources utilization
  • sponge city construction case

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Published Papers (3 papers)

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Research

17 pages, 2873 KiB  
Article
Cascading Failure and Resilience of Urban Rail Transit Stations under Flood Conditions: A Case Study of Shanghai Metro
by Dekui Li, Yuru Hou, Shubo Du and Fan Zhou
Water 2024, 16(19), 2731; https://doi.org/10.3390/w16192731 - 25 Sep 2024
Viewed by 746
Abstract
The increasing frequency of urban flooding, driven by global climate change, poses significant threats to the safety and resilience of urban rail transit systems. This study systematically examines the cascading failure processes and resilience of these networks under flood conditions, with a specific [...] Read more.
The increasing frequency of urban flooding, driven by global climate change, poses significant threats to the safety and resilience of urban rail transit systems. This study systematically examines the cascading failure processes and resilience of these networks under flood conditions, with a specific focus on the Shanghai Metro. A comprehensive resilience evaluation model was developed by integrating geographic information, static network characteristics, and dynamic passenger flow indicators. This study employs an improved Coupled Map Lattice (CML) model to simulate cascading failures by considering the coupling effects of station centrality, geographic elevation, and passenger flow dynamics. The results indicate that stations with higher degrees of centrality are more likely to trigger rapid cascading failures across the network. However, incorporating dynamic passenger flow and geographic elevation data helps mitigate these effects, emphasizing the need for multi-dimensional resilience strategies. The findings provide valuable insights for urban transit management, offering a scientific foundation for developing targeted disaster response strategies to enhance network resilience against floods. This study advances our understanding of the vulnerability of urban rail transit systems and offers practical guidance for improving disaster preparedness in urban transportation infrastructure. Full article
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26 pages, 7907 KiB  
Article
Simulation Study on Rain-Flood Regulation in Urban “Gray-Green-Blue” Spaces Based on System Dynamics: A Case Study of the Guitang River Basin in Changsha
by Qi Jiang, Suwen Xiong, Fan Yang and Jiayuan Huang
Water 2024, 16(1), 109; https://doi.org/10.3390/w16010109 - 27 Dec 2023
Cited by 2 | Viewed by 1619
Abstract
Urban rainstorms and flood disasters are the most common and severe environmental problems worldwide. Many factors influence rain-flood control simulation, forming a complex network system of interconnected and mutually constraining elements. In terms of spatial scale selection, existing research on rain-flood disaster risk [...] Read more.
Urban rainstorms and flood disasters are the most common and severe environmental problems worldwide. Many factors influence rain-flood control simulation, forming a complex network system of interconnected and mutually constraining elements. In terms of spatial scale selection, existing research on rain-flood disaster risk largely relies on a single-scale infrastructure index system and has not yet focused on urban “gray-green-blue” spatial scale simulations for rain-flood storage. Regarding research methodology, applying system dynamics methods to the simulation of rain-flood storage and disaster prevention planning in watershed cities is still in its initial stages. System dynamics models can simulate the feedback interactions among various sub-elements in the coupled mega-system, fully addressing complex issues within the system structure that involve multiple variables, non-linear relationships, and numerous feedback loops, thereby compensating for the inadequacies of traditional linear models in the collaborative management of rain-flood risks. Taking the Changsha Guitang River Basin as an example, this paper constructs a system dynamics model covering four dimensions: natural environment, socio-economics, internal structure, and policy development. It aims to derive the optimal planning scheme for gray-green-blue spatial coordination in rain-flood storage by weighing four different development scenarios. The simulation results show: (1) Simply changing the surface substrates without considering rainwater discharge and the plan that emphasizes the construction of municipal drainage facilities will see the capacity gap for rain-flood storage-space construction continue to widen by 2035. This indicates that the plans mentioned above will struggle to bear the socio-economic losses cities face during rain-flood disasters. (2) The plan of combining gray and green infrastructures sees the rain-flood storage construction capacity turn from negative to positive from 2024, rising to 52.259 billion yuan by 2035. This reflects that the plan can significantly reduce the rainwater volume in the later stages of low-impact development infrastructure construction, mitigate rain-flood disaster risks, and reduce government investment in rain-flood disaster risk management, making it a relatively excellent long-term rain-flood storage space planning option. (3) The rain-flood regulation space planning scheme, under the combined effect of the urban “gray-green-blue” network system, sees the capacity for rain-flood storage construction turn positive a year earlier than the previous plan, reaching 54.232 billion yuan by 2035. This indicates that the scheme can not only effectively respond to extreme flood and rainstorm disasters but also maintain ecological environment benefits and mitigate the socio-economic losses caused by disasters, making it the optimal choice for future government disaster management planning. The research results provide a theoretical framework and practical insights for territorial spatial planning, rain-flood control management, and resilient city construction in watershed areas. Full article
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14 pages, 1888 KiB  
Article
Comprehensive Performance Assessment for Sponge City Construction: A Case Study
by Qian Yu, Na Li, Jing Wang and Shan Wang
Water 2023, 15(23), 4039; https://doi.org/10.3390/w15234039 - 21 Nov 2023
Cited by 2 | Viewed by 2121
Abstract
Sponge City Construction (SCC) can effectively solve urban areas’ water problems. Green infrastructure (GI), the core of SCC, exhibits a multifaceted capacity to deliver many co-benefits, while grey infrastructure primarily serves the single function of controlling rainfall runoff. However, existing assessment indicator systems [...] Read more.
Sponge City Construction (SCC) can effectively solve urban areas’ water problems. Green infrastructure (GI), the core of SCC, exhibits a multifaceted capacity to deliver many co-benefits, while grey infrastructure primarily serves the single function of controlling rainfall runoff. However, existing assessment indicator systems fail to either consider or evaluate comprehensive impacts. In this work, a comprehensive indicator system has been established to assess the co-benefits of five different GI measures. The system includes twelve indicators from four aspects, i.e., disaster reduction, economic, environmental, and social benefits. This newly established assessment system is applied to Jinan as a case study. Six out of twelve indicators are evaluated using the self-developed Flood Risk Analysis Software and empirical equations. The results show that the inundation reduction ratios are 11.02%, 9.32%, and 8.02% under the 24-h design rainfall with a 5-year, 10-year, and 20-year return period, respectively. In addition, the corresponding direct flood loss reduction rates are 13.86%, 4.28%, and 4.09%. That is, as the rainfall return periods increase, the disaster reduction benefits become less pronounced. On the contrary, other benefits, e.g., groundwater recharge volumes, are more obvious. The corresponding groundwater recharge volumes are 2.23 million m3, 2.86 million m3, and 2.87 million m3, respectively. The proposed indicator system can be adopted to assess the performances of the different GI combinations, which provides effective support and reference to decision-makers in SCC at the planning and design stages. Full article
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