Cited by A network method to analyze compound extreme events: Risk enhancement relationship and trigger causal relationship in high voice traffic and high data throughput events

A cost-benefit ‘source-receptor’ framework for implementation of Blue-Green flood risk management DOI

Christos Iliadis, Vassilis Glenis, Chris Kilsby

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 634, P. 131113 - 131113

Published: March 26, 2024

As floods are a major and growing source of risk in urban areas, there is necessity to improve flood management frameworks civil protection through planning interventions that modify surface flow pathways introduce storage. Despite the complexity densely urbanised areas (topography, buildings, green spaces, roads), modern models can represent features characteristics order help researchers, local authorities, insurance companies develop efficient achieve resilience cities. A cost-benefit driven 'source-receptor' framework developed this study identify (1) locations contributing flooding (sources), (2) buildings at high (receptors), (3) nexus between 'source' 'receptor', finally (4) ways mitigate 'receptor' by adding Blue-Green Infrastructure (BGI) critical locations. The analysis based on five steps area exposure damages arising from available spaces with best potential add sustainable resilient solutions reduce flooding. was using detailed hydrodynamic model CityCAT case city centre Newcastle upon Tyne, UK. novelty firstly, multiple storm magnitudes (i.e. small large floods) used combined method locate prioritized set places upstream downstream. Secondly, decisions informed considering benefit reduced properties cost construct BGI options rather than restricted hydraulic only depths storages isolation real world economics.

Language: Английский

Citations

An Open Framework for Analysing Future Flood Risk in Urban Areas DOI

Olivia Butters,

Craig Robson, Fergus McClean

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: unknown, P. 106302 - 106302

Published: Dec. 1, 2024

Language: Английский

Citations

Observation Capability Evaluation Model for Flood-Observation-Oriented Satellite Sensor Selection DOI

Mu Duan, Yunbo Zhang, Ran Liu

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(22), P. 12482 - 12482

Published: Nov. 18, 2023

Satellite sensors are one of the most important means collecting real-time geospatial information. Due to their characteristics such as large spatial coverage and strong capability for dynamic monitoring, they widely used in observation flood situation information situational awareness response. Selecting optimum sensor is vital when multiple exist. Presently, selection predominantly hinges on human experience various quantitative qualitative evaluation methods. Yet, these methods lack optimization considering flood’s spatiotemporal characteristics, different phases geographical environmental factors. Consequently, may inaccurately evaluate select inappropriate sensor. To address this issue, an innovative model (OCEM) proposed quantitatively pre-evaluate performance flood-water-observation-oriented satellite sensors. The OCEM selects formulates flood-water-observation-related factors supports weight assignment event. An experiment involving three consecutive phase tasks was conducted. results demonstrated flexibility effectiveness pre-evaluating across those tasks, accounting phases. Additionally, comparisons with related further affirmed superiority OCEM. In general, has provided a “measuring table” optimize planning management departments acquiring

Language: Английский

Citations

A network method to analyze compound extreme events: Risk enhancement relationship and trigger causal relationship in high voice traffic and high data throughput events DOI

Li-Na Wang,

Haoran Liu, Yu-Wen Huang

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 189, P. 115661 - 115661

Published: Oct. 16, 2024

Language: Английский

Citations