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

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 073003 - 073003

Published: June 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.

Language: Английский

Socio-hydrological modelling using participatory System Dynamics modelling for enhancing urban flood resilience through Blue-Green Infrastructure DOI
Virginia Rosa Coletta, Alessandro Pagano, Nici Zimmermann

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 636, P. 131248 - 131248

Published: May 2, 2024

Language: Английский

Citations

9

A new approach for urban flood risk assessment using coupled SWMM–HEC-RAS-2D model DOI
Kousha Khatooni, Farhad Hooshyaripor, Bahram Malekmohammadi

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 123849 - 123849

Published: Jan. 14, 2025

Language: Английский

Citations

1

Urban flood dilemmas: How European cities growth shapes flood risk and resilience strategies? DOI
Wiktor Halecki, Dariusz Młyński

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124161 - 124161

Published: Jan. 19, 2025

Language: Английский

Citations

1

A review of flood risk assessment frameworks and the development of hierarchical structures for risk components DOI Creative Commons

Nazgol Tabasi,

Mohammad Fereshtehpour, Bardia Roghani

et al.

Discover Water, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 12, 2025

Language: Английский

Citations

1

DEM Generation Incorporating River Channels in Data-Scarce Contexts: The “Fluvial Domain Method” DOI Creative Commons
Jairo R. Escobar Villanueva, Jhonny Pérez, Andrea Nardini

et al.

Hydrology, Journal Year: 2025, Volume and Issue: 12(2), P. 33 - 33

Published: Feb. 14, 2025

This paper presents a novel methodology to generate Digital Elevation Models (DEMs) in flat areas, incorporating river channels from relatively coarse initial data. The technique primarily utilizes filtered dense point clouds derived SfM-MVS (Structure Motion-Multi-View Stereo) photogrammetry of available crewed aerial imagery datasets. operates under the assumption that survey was carried out during low-flow or drought conditions so dry (or almost dry) riverbed is detected, although an imprecise way. Direct interpolation detected elevation points yields unacceptable channel bottom profiles (often exhibiting unrealistic artifacts) and even distorts floodplain. In our Fluvial Domain Method, bottoms are represented like “highways”, perhaps overlooking their (unknown) detailed morphology but gaining general topographic consistency. For instance, we observed 11.7% discrepancy long profile (with respect measured cross-sections) 0.38 m RMSE floodplain GNSS-RTK measurements). Unlike conventional methods utilize active sensors (satellite airborne LiDAR) classic surveys—each with precision, cost, labor limitations—the proposed approach offers more accessible, cost-effective, flexible solution particularly well suited cases scarce base information financial resources. However, method’s performance inherently limited by quality input data simplification complex morphologies; it most suitable for where high-resolution geomorphological detail not critical direct acquisition feasible. resulting DEM, generalized representation, flood hazard modeling. A case study Ranchería delta Northern Colombian Caribbean demonstrates methodology.

Language: Английский

Citations

1

A multiscale physically-based approach to urban flood risk assessment using ABM and multi-source remote sensing data DOI

Xinyi Shu,

Chenlei Ye,

Zongxue Xu

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105332 - 105332

Published: Feb. 1, 2025

Language: Английский

Citations

1

The Practices of an Integrated Infrastructure Planning in Ethiopian Metropolitan Cities, the Case of Addis Ababa and Sheger Cities DOI Open Access
Geremew Worku,

Dagnachew Adugna

American Journal of Applied Scientific Research, Journal Year: 2025, Volume and Issue: 11(1), P. 27 - 47

Published: Feb. 7, 2025

Integrated infrastructure planning between cities is a strategic approach that aligns critical systems such as transportation networks, waste management, water supply, and digital connectivity across municipal boundaries. This study examines the coordinated efforts of Addis Ababa Sheger to create synergy their systems, focusing on three core areas: transport road sewerage drainage solid management. Effective inter-city collaboration fosters economic growth, environmental sustainability, social equity by improving connectivity, resource sharing, resilience. Conversely, fragmented often results in urban sprawl, traffic congestion, poor public service delivery, degradation, systemic inefficiencies. Using mixed-methods approach, employed convenience sampling collect data through questionnaires, surveys, interviews, focus group discussions. It processed interpreted using analytical tools Microsoft Excel, ArcGIS, SPSS. The findings highlight opportunities enhance efficiency sustainability shared while addressing pressing challenges, institutional silos, limited financial resources, inadequate stakeholder engagement. underscored importance aligning with regional development goals, emphasizing strategies reduce redundancies foster sustainable environments. Key recommendations include establishing joint bodies, enhancing data-sharing mechanisms, fostering public-private partnerships optimize use. By these can achieve interconnected, sustainable, resilient serve broader metropolitan region effectively. contributes discourse providing actionable insights into how collaboratively address challenges supporting objectives. have significant implications for policymakers, planners, stakeholders committed advancing cohesive environments benefit communities regions.

Language: Английский

Citations

1

Estimation of flood-exposed population in data-scarce regions combining satellite imagery and high resolution hydrological-hydraulic modelling: A case study in the Licungo basin (Mozambique) DOI Creative Commons
Luís Cea, Manuel Álvarez, Jerónimo Puertas

et al.

Journal of Hydrology Regional Studies, Journal Year: 2022, Volume and Issue: 44, P. 101247 - 101247

Published: Oct. 25, 2022

Licungo basin (Mozambique) The (23,263 km2) suffers frequent severe flooding due to tropical storms, in a country that is among the world's most vulnerable terms of exposure weather-related hazards and climate change. We propose methodology for estimation population exposed at catchment scale data-scarce regions, combining satellite imagery with integrated high-resolution hydrological-hydraulic modelling. All input data needed are retrieved from freely-available global products. numerical model also freeware. therefore replicable worldwide. An estimate flood extent during Tropical Storm Ana (January 2022) presented as case study. Current products combination models can be used whole catchment. This more realistic than one obtained using alone, since images very rarely taken time maximum flooding. Using proposed methodology, we over 273,000 people (out 1.5 million) were Ana. represents 18% 8 times larger only available images.

Language: Английский

Citations

31

Geospatial modelling of floods: a literature review DOI
Evangelina Avila-Aceves, Wenseslao Plata-Rocha, Sergio Alberto Monjardín-Armenta

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2023, Volume and Issue: 37(11), P. 4109 - 4128

Published: July 10, 2023

Language: Английский

Citations

22

Deep learning rapid flood risk predictions for climate resilience planning DOI Creative Commons
Ahmed Yosri, Maysara Ghaith, Wael El‐Dakhakhni

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 631, P. 130817 - 130817

Published: Feb. 3, 2024

Language: Английский

Citations

8