Modelling urban flooding integrated with flow and sediment transport in drainage networks DOI
Jinxin Liu, Zhixian Cao, Xichun Li

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 850, С. 158027 - 158027

Опубликована: Авг. 13, 2022

Язык: Английский

Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances DOI Creative Commons
Vijendra Kumar, Kul Vaibhav Sharma, Tommaso Caloiero

и другие.

Hydrology, Год журнала: 2023, Номер 10(7), С. 141 - 141

Опубликована: Июнь 30, 2023

As one of nature’s most destructive calamities, floods cause fatalities, property destruction, and infrastructure damage, affecting millions people worldwide. Due to its ability accurately anticipate successfully mitigate the effects floods, flood modeling is an important approach in control. This study provides a thorough summary modeling’s current condition, problems, probable future directions. The includes models based on hydrologic, hydraulic, numerical, rainfall–runoff, remote sensing GIS, artificial intelligence machine learning, multiple-criteria decision analysis. Additionally, it covers heuristic metaheuristic techniques employed evaluation examines advantages disadvantages various models, evaluates how well they are able predict course impacts floods. constraints data, unpredictable nature model, complexity model some difficulties that must overcome. In study’s conclusion, prospects for development advancement field discussed, including use advanced technologies integrated models. To improve risk management lessen society, report emphasizes necessity ongoing research modeling.

Язык: Английский

Процитировано

111

Quantitative flood hazard assessment methods: A review DOI Creative Commons
Andrea Maranzoni, Marco D’Oria,

Carmine Rizzo

и другие.

Journal of Flood Risk Management, Год журнала: 2022, Номер 16(1)

Опубликована: Окт. 19, 2022

Abstract Flood hazard assessment is a fundamental step in flood risk mapping. Quantitative requires hydrodynamic modelling of the flooding process order to calculate spatial distribution suitable indicators representative intensity and frequency, hence its potential result harm. are usually defined by combining relevant parameters, mainly depth flow velocity, but also arrival time, duration, sediment or contamination load, so forth. A classification commonly introduced assign level areas potentially subject flooding. This article presents systematic review quantitative methods proposed scientific literature prescribed government authorities assess associated with natural anthropic listed compared specifying their underlying approach (heuristic, conceptual, empirical), exposed element which they were designed for (people, buildings, vehicles, etc.), fields application (river overflow, dam‐break, levee breach, debris flow). Perspectives future challenges analysis discussed. aims help modellers practitioners select most method case study interest.

Язык: Английский

Процитировано

83

U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding DOI Creative Commons
Zhouyayan Li, İbrahim Demir

The Science of The Total Environment, Год журнала: 2023, Номер 869, С. 161757 - 161757

Опубликована: Янв. 21, 2023

Язык: Английский

Процитировано

71

A review of recent advances in urban flood research DOI Creative Commons
Candace Agonafir, Tarendra Lakhankar,

R. Khanbilvardi

и другие.

Water Security, Год журнала: 2023, Номер 19, С. 100141 - 100141

Опубликована: Июль 13, 2023

Due to a changing climate and increased urbanization, an escalation of urban flooding occurrences its aftereffects are ever more dire. Notably, the frequency extreme storms is expected increase, as built environments impede absorption water, threat loss human life property damages exceeding billions dollars heightened. Hence, agencies organizations implementing novel modeling methods combat consequences. This review details concepts, impacts, causes flooding, along with associated endeavors. Moreover, this describes contemporary directions towards flood resolutions, including recent hydraulic-hydrologic models that use modern computing architecture trending applications artificial intelligence/machine learning techniques crowdsourced data. Ultimately, reference utility provided, scientists engineers given outline advances in research.

Язык: Английский

Процитировано

64

Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data DOI Creative Commons
Pierfranco Costabile, Carmelina Costanzo, John Kalogiros

и другие.

Water Resources Research, Год журнала: 2023, Номер 59(10)

Опубликована: Окт. 1, 2023

Abstract In our era, the rapid increase of parallel programming coupled with high‐performance computing (HPC) facilities allows for use two‐dimensional shallow water equation (2D‐SWE) algorithms simulating floods at “hydrological” catchment scale, rather than just “hydraulic” fluvial scale. This approach paves way development new operational systems focused on impact‐based flash‐floods nowcasting, wherein hydrodynamic simulations directly model spatial and temporal variability measured or predicted rainfall impacts even a street Specifically, main goal this research is to make step move toward implementation an effective flash flood nowcasting system in which timely accurate impact warnings are provided by including weather radar products HPC 2D‐SWEs modelling framework able integrate watershed hydrology, flow hydrodynamics, river urban flooding one model. The timing, location, intensity street‐level evolution some key elements risk (people, vehicles, infrastructures) also discussed considering both calibration issues role played resolution. All these analyzed having as starting point event hit Mandra town (Athens, Greece) 15 November 2017, highlighting feasibility accuracy overall providing insights field.

Язык: Английский

Процитировано

46

Enhancing resilience of urban underground space under floods: Current status and future directions DOI

Renfei He,

Robert L. K. Tiong, Yong Yuan

и другие.

Tunnelling and Underground Space Technology, Год журнала: 2024, Номер 147, С. 105674 - 105674

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

23

Current overview of impact analysis and risk assessment of urban pluvial flood on road traffic DOI

Haiqi He,

Rui Li, Jianzhong Pei

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104993 - 104993

Опубликована: Окт. 12, 2023

Язык: Английский

Процитировано

36

Effects of urban drainage inlet layout on surface flood dynamics and discharge DOI
C. P. Liang, Mingfu Guan

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130890 - 130890

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

13

Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model DOI

Chengshuai Liu,

Caihong Hu, Chenchen Zhao

и другие.

Water Resources Management, Год журнала: 2024, Номер 38(6), С. 2059 - 2078

Опубликована: Фев. 14, 2024

Язык: Английский

Процитировано

10

Exploring infiltration effects on coastal urban flooding: Insights from nuisance to extreme events using 2D/1D hydrodynamic modeling and crowdsourced flood reports DOI Creative Commons
Sergio A. Barbosa,

Yidi Wang,

Jonathan L. Goodall

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 968, С. 178908 - 178908

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

2