Appraising flood risk and inundation extent using GIS-aided 2D hydraulic modeling in Nepal Himalaya: a case of West Rapti River Basin

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: March 15, 2025

Language: Английский

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Rapid flood inundation mapping by integrating deep learning-based image super-resolution with coarse-grid hydrodynamic modeling

Engineering Applications of Computational Fluid Mechanics, Journal Year: 2025, Volume and Issue: 19(1)

Published: March 25, 2025

Efficient and accurate flood inundation mapping is essential for risk assessment, emergency response, community safety. The deep learning-enabled rapid simulation demonstrates superior computational efficiency compared to traditional hydrodynamic models. However, most learning-based models currently focus on predicting the maximum water depth face challenges in generalizing rainfall events of different durations. This paper proposes a fast method based image super-resolution, utilizing novel DenseUNet architecture predict velocity temporal events. proposed integrates physical catchment characteristics enhance resolution maps generated by coarse-grid model using deep-learning model. applied rural-urban Shenzhen River southern China. effectively reproduces test against fine-grid model, achieving root mean square errors below 0.06 0.07 m/s, respectively, with percentage bias within ±5%. For prediction, exhibits Nash-Sutcliffe Pearson correlation coefficient exceeding 0.99. Similarly, both metrics exceed 0.94. outperforms over 2800 times. developed this study regression classification performance commonly used ResUNet UNet architectures. robust wide range super-resolution scale factors. presents an efficient surrogate mapping, providing valuable insights applying methods simulation.

Language: Английский

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SwinFlood: A hybrid CNN-Swin Transformer model for rapid spatiotemporal flood simulation

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133280 - 133280

Published: April 1, 2025

Language: Английский

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Urban Flood Intensification by Storm Clustering: The Impact of Rainstorm 'Train Effect'

Published: Jan. 1, 2025

Language: Английский

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Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(2), P. 539 - 566

Published: Feb. 15, 2024

Abstract. Flooding is an endemic global challenge with annual damages totalling billions of dollars. Impacts are felt most acutely in low- and middle-income countries, where rapid demographic change driving increased exposure. These areas also tend to lack high-precision hazard mapping data which better understand or manage risk. To address this information gap a number flood models have been developed recent years. However, there substantial uncertainty over the performance these products. Arguably important component model digital elevation (DEM), must represent terrain without surface artifacts such as forests buildings. Here we develop evaluate next generation hydrodynamic based on recently released FABDEM DEM. We compare it previous version using MERIT DEM at three study sites Central Highlands Vietnam two independent validation sets household survey remotely sensed observations flooding. The consistently outperformed MERIT, agreement between remote sensing was greater than sets.

Language: Английский

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Unraveling urban hydro-environmental response to climate change and MCDA-based area prioritization in a data-scarce developing city

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174389 - 174389

Published: July 2, 2024

Climate change leads to more frequent and intense heavy rainfall events, posing significant challenges for urban stormwater management, particularly in rapidly urbanizing cities of developing countries with constrained infrastructure. However, the quantitative assessment stormwater, encompassing both its volume quality, these regions is impeded due scarcity observational data resulting limited understanding drainage system dynamics. This study aims elucidate present projected states flooding, a specific emphasis on fecal organic contamination caused by combined sewer overflow (CSO). Leveraging hydrological model incorporating physical biochemical processes validated against invaluable data, we undertake simulations estimate discharge, flood volume, concentrations suspended solids (SS), Escherichia coli (E. coli), chemical oxygen demand (COD) within channel network Phnom Penh City, Cambodia. Alterations volumes, pollutant loads under two representative concentration pathways (RCPs 4.5 8.5) extreme events are projected. Furthermore, employ multi-criteria decision analysis (MCDA) framework evaluate risk, diverse indicators physical, social, ecological dimensions. Our results demonstrate exacerbating effects climate expansion flooded areas, prolonged durations inundation, elevated vulnerability index, heightened susceptibility scenarios, underscoring increased risks flooding contamination. Spatial identifies zones exhibiting change, suggesting priority investment mitigation measures. These findings provide crucial insights planning management infrastructure, offering essential guidance decision-making locales facing similar challenges.

Language: Английский

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Assessing Critical Flood-Prone Districts and Optimal Shelter Zones in the Brahmaputra Valley: Strategies for Effective Flood Risk Management

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: unknown, P. 103772 - 103772

Published: Oct. 1, 2024

Language: Английский

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The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index

Natural hazards and earth system sciences, Journal Year: 2023, Volume and Issue: 23(6), P. 2313 - 2332

Published: June 26, 2023

Abstract. Hydro-numerical models are increasingly important to determine the adequacy and evaluate effectiveness of potential flood protection measures. However, a significant obstacle in setting up hydro-numerical associated damage is tedious oftentimes prohibitively costly process acquiring reliable input data, which particularly applies coastal megacities developing countries emerging economies. To help alleviate this problem, paper explores usability reliability built on open-access data regions where highly resolved (geo)data either unavailable or difficult access yet knowledge about elements at risk crucial for mitigation planning. The example Ho Chi Minh City, Vietnam, taken describe comprehensive but generic methodology obtaining, processing applying required data. overarching goal study produce preliminary hazard maps that provide first insights into flooding hotspots demanding closer attention subsequent, more detailed analyses. As key novelty, normalized severity index (INFS), combines depth duration, proposed deliver information assessment. This serves as an indicator further narrows down focus areas significant. Our approach validated by comparison with than 300 samples locally observed during three heavy-rain events 2010 2012 correspond INFS-based inundation over 73 % all cases. These findings corroborate high modeling robustness newly introduced index, may significantly enhance interpretation trustworthiness assessments future. developed indicators be replicated adopted other around globe.

Language: Английский

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Beyond flood hazard. Mapping the loss probability of pedestrians to improve risk estimation and communication

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 168718 - 168718

Published: Nov. 23, 2023

The effective communication of flood hazard and risk is a necessary step to foster preparedness resilience, hence reducing the detrimental impacts flooding events. Classical maps, which show flow depth velocity, have often proved be incomprehensible majority people. Some recent studies used color maps convey spatial distribution diverse indexes that, accounting for both water are intended communicate degree in more intelligible way. It first shown that these some inherent limitations, as example implicit assumption linear relationship between velocity. As an alternative, we propose map loss probability (LP) pedestrians exposed floodwaters, physics-based data-consistent index vulnerability. LP can easily computed allows sounder estimation general public.

Language: Английский

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On the role of digital terrain topography and land use dynamics in flood hazard assessment of urban floodplain

Natural Hazards, Journal Year: 2024, Volume and Issue: 120(13), P. 11877 - 11902

Published: May 18, 2024

Language: Английский

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