How suitable are current approaches to simulate flood risk under future urbanization trends? DOI Creative Commons
Veronika Zwirglmaier, Andrea Reimuth, Matthias Garschagen

и другие.

Environmental Research Letters, Год журнала: 2024, Номер 19(7), С. 073003 - 073003

Опубликована: Июнь 3, 2024

Abstract Flood risk in urban areas will increase massively under future urbanization and climate change. Urban flood models have been increasingly applied to assess impacts of on risk. For this purpose, different methodological approaches developed order reflect the complexity dynamics growth. To state-of-the art application scenarios, we conducted a structured literature review systematically analyzed 93 publications with 141 case studies. Our shows that hydrological hydrodynamic are most commonly used simulate Future is mostly considered as sprawl through adjustment land use maps roughness parameters. A low number additionally consider transitions structures densification processes their scenarios. High-resolution physically based advanced well suited for describing quantifiable data-rich contexts. In regions limited data, argue reducing level detail increasing patterns should be improve quality projections urbanization. also call development integrative model such causal network greater explanatory power enable processing qualitative data.

Язык: Английский

An enhanced framework for simulating urban pluvial flooding: Integrating nested watersheds and urban areas with spatial heterogeneity DOI

Chenlei Ye,

Weihong Liao, Zongxue Xu

и другие.

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132875 - 132875

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
An overview of flood evacuation planning: Models, methods, and future directions DOI Creative Commons
Chuannan Li,

Changbo Jiang,

J. Chen

и другие.

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133026 - 133026

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Comparative Assessment of Sponge City Constructing in Public Awareness, Xi’an, China DOI Open Access
Pingping Luo, Yue Zheng, Yiyi Wang

и другие.

Sustainability, Год журнала: 2022, Номер 14(18), С. 11653 - 11653

Опубликована: Сен. 16, 2022

Climate change and urbanization are causing increasingly frequent urban flooding in countries around the world. Various innovative approaches have emerged to address this challenge. In China, Sponge City was first proposed 2012 achieve an hydrological balance through natural storage, infiltration purification. This article presents a comparative investigation (using survey method) of new old communities Xixian New District Xi’an September 2021 investigate public awareness understand levels satisfaction acceptance. Individuals same age or education residing generally know more about were willing accept it than those traditional cities. Moreover, residents concept well, with majority respondents (71.82%) expressing clear understanding on conception City. However, city exhibited much less (44.24%). Furthermore, for living area, people who younger higher clearer acceptance local government. survey, average scores (assign values different responses, then percent it) master’s degrees, bachelor’s degrees high school below evaluated at 76.88, 67.94 62.15, respectively, compared 62.07, 50.18 50.78 Xi’an. Lastly, we found that differences environment significant influence residents’ perceptions. Residents satisfied travel conditions greatly support Meanwhile, study will help relevant authorities pay attention opinions them formulate policies spread encourage participation.

Язык: Английский

Процитировано

39
Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): An urban-level analysis of Shenzhen, China DOI

Guyuan Li,

Xiaofeng Wu, Jing‐Cheng Han

и другие.

Journal of Environmental Management, Год журнала: 2022, Номер 329, С. 117040 - 117040

Опубликована: Дек. 17, 2022

Язык: Английский

Процитировано

37
A comprehensive analysis method of spatial prioritization for urban flood management based on source tracking DOI Creative Commons

Wenchao Qi,

Chao Ma,

Hongshi Xu

и другие.

Ecological Indicators, Год журнала: 2022, Номер 135, С. 108565 - 108565

Опубликована: Янв. 18, 2022

Flooding is one of the most frequent and disastrous natural hazards that can have catastrophic impacts on human society urban infrastructure. Increasing incidence flooding highlights need for reliable flood mitigation strategies effectively minimize losses owing to disasters. The strategic placement measures undoubtedly key achieving maximum effectiveness reduction schemes. physical characteristics site knowledge regional relevance play an important role in determining location appropriate measures. In case limited resources, it crucial prioritize areas installation Therefore, indicator-based method was developed this study identify sites concentrate resources where they are needed most. Based source tracking method, a tracer-aided model impact direct indirect connections between systems, explore their relative importance network, related risks improve resource allocation efficiency. Longkungou drainage district Haikou City selected as area determine prioritization catchments mitigation. results indicated high upstream with decreasing downstream, interventions presents spatial trend "high south low north". This demonstrates novelty management connectivity hazard areas. scheme catchment proposed provides valuable guidance policy makers planners who wish exploit approach

Язык: Английский

Процитировано

36
Coastal Flood Risk and Smart Resilience Evaluation under a Changing Climate DOI Creative Commons

Ping Shen,

Shilan Wei,

Huabin Shi

и другие.

Ocean-Land-Atmosphere Research, Год журнала: 2023, Номер 2

Опубликована: Янв. 1, 2023

Coastal areas are highly vulnerable to flood risks, which exacerbated by the changing climate. This paper provides a comprehensive review of literature on coastal risk assessment and resilience evaluation proposes smart-resilient city framework based pre-disaster, mid-disaster, post-disaster evaluations. First, this systematically reviews origin concept development resilience. Next, it introduces social-acceptable criteria level for different phases. Then, management system smart cities is proposed, covering 3 phases disasters (before, during, after). Risk essential in pre-disaster scenarios because understanding potential hazards vulnerabilities an area or system. Big data monitoring during component effective emergency response that can allow more informed decisions thus quicker, responses disasters, ultimately saving lives minimizing damage. Data-informed loss assessments crucial providing rapid, accurate impact. understanding, turn, instrumental expediting recovery reconstruction efforts aiding decision-making processes resource allocation. Finally, impacts climate change summarized. The resilient communities better equipped withstand adapt environmental conditions crucial. To address compound floods, researchers should focus trigging factor interactions, assessing economic social improving systems, promoting interdisciplinary research with openness. These strategies will enable holistic risks context change.

Язык: Английский

Процитировано

22
Rapid urban flood inundation forecasting using a physics-informed deep learning approach DOI

Fang Yang,

Ding Wu,

Jianshi Zhao

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 643, С. 131998 - 131998

Опубликована: Сен. 20, 2024

Язык: Английский

Процитировано

9
Assessing Impact of Nature Based Solutions on Peak Flow Using HEC-HMS DOI
Divya S. Agarwal, Alka Bharat, Thomas Kjeldsen

и другие.

Water Resources Management, Год журнала: 2024, Номер 38(3), С. 1125 - 1140

Опубликована: Янв. 29, 2024

Язык: Английский

Процитировано

7
Spatiotemporal variation in global floods with different affected areas and the contribution of influencing factors to flood-induced mortality (1985–2019) DOI Creative Commons
Tian Liu, Peijun Shi, Jian Fang

и другие.

Natural Hazards, Год журнала: 2022, Номер 111(3), С. 2601 - 2625

Опубликована: Янв. 1, 2022

Abstract Floods are great threats to human life and property. Extensive research has investigated the spatiotemporal variation in flood occurrence, while few have studied heterogeneity global events of different sizes, which may require coping strategies risk reduction policies. In this study, we analysed patterns with affected areas (classified three levels) during 1985–2019 examined contribution influencing factors flood-induced mortality using Geodetector. The results show that (1) increase frequency was mainly caused by Level II III floods, average area been increasing yearly since 1985. (2) America Africa, floods increased monotonically. At same time, I Europe Asia significantly. (3) For Asia, most deaths occurred floods; for mortality. (4) top contributing spatial were population, GDP per capita duration. each factor varied among types floods. Topographic (percentage mountainous area) magnified extreme heavy rainfall, especially indicates protection measures should be more targeted. addition, large-scale (Level III) highlights need transregional cooperation management.

Язык: Английский

Процитировано

29
Flooding and Overflow Mitigation Using Deep Reinforcement Learning Based on Koopman Operator of Urban Drainage Systems DOI Creative Commons
Wenchong Tian,

Zhenliang Liao,

Zhiyu Zhang

и другие.

Water Resources Research, Год журнала: 2022, Номер 58(7)

Опубликована: Июль 1, 2022

Abstract In recent studies, deep reinforcement learning (RL) methods have been used for the real‐time control of urban drainage systems (UDSs). However, training process an RL agent is computationally expensive since collecting data requires multiple simulations a UDS model. An effective solution to this issue replace original model with emulator, simpler which emulates specified output system. adaptability and interpretability existing emulators still require further improvements. To address these challenges, new emulator increased interpretability, called Koopman was developed by using operator technique in study. Then, establish emulator‐based framework fast efficient training. This train agents flooding overflow mitigation located Eastern China. Baseline were also employed comparison. All evaluated through simulations. The following results obtained: (a) demonstrated better emulation performance than baseline emulators. (b) based on achieved similar effect faster more usage compared storm water management (c) uncertainty analysis showed that exhibited acceptable robustness when facing different rainfall events input perturbations.

Язык: Английский

Процитировано

28