A framework to assess suitability of global digital elevation models for hydrodynamic modelling in data scarce regions

V Nandam, PL Patel - Journal of Hydrology, 2024 - Elsevier
With increase in availability of global Digital Elevation Models (DEMs) that are derived from
distinctive techniques with varying characteristics, it is essentially required to assess their …

GIS-based Risk assessment of structure attributes in flood zones of Odiongan, Romblon, Philippines

JG Gacu, CEF Monjardin, KLM de Jesus, DB Senoro - Buildings, 2023 - mdpi.com
Flood triggered by heavy rains and typhoons leads to extensive damage to land and
structures putting rural communities in crucial condition. Most of the studies on risk …

The problem of effective evacuation of the population from floodplains under threat of flooding: algorithmic and software support with shortage of resources

OY Vatyukova, AY Klikunova, AA Vasilchenko… - Computation, 2023 - mdpi.com
Extreme flooding of the floodplains of large lowland rivers poses a danger to the population
due to the vastness of the flooded areas. This requires the organization of safe evacuation in …

Enhancing flood risk assessment in urban areas by integrating hydrodynamic models and machine learning techniques

A Khoshkonesh, R Nazari, MR Nikoo… - Science of the Total …, 2024 - Elsevier
Urban flood risks have intensified due to climate change and dense infrastructural
development, necessitating innovative assessment approaches. This study aimed to …

A Comprehensive Review of Cutting-Edge Flood Modelling Approaches for Urban Flood Resilience Enhancement

S Snikitha, GP Kumar, GS Dwarakish - Water Conservation Science and …, 2025 - Springer
Urban environments face a growing threat from floods, driven by factors like excessive
rainfall, inadequate drainage, rapid urbanization, and climate-amplified extreme weather …

Hydrological responses of the Brahmaputra river basin using CMIP6 GCM projections for supporting climate resilient infrastructure design

F Abdullah, WB Mamoon, AKMS Islam… - Sustainable and …, 2024 - Taylor & Francis
The central northern region of Bangladesh has a low density and quality of sustainable rural
infrastructures, and it is frequently affected by climate change-induced seasonal flooding …

Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia

F Yulianto, M Wibowo, A Yananto, DHF Perdana… - Earth Science …, 2023 - Springer
The north coast of Java is the center of economic activity in Indonesia. This area is dynamic
and sensitive to various geo-bio-physical aspects. Therefore, a vulnerability study in this …

UAV-based DEM augmentation using ConSinGAN for efficient flood parameter prediction with machine learning and 1D hydrodynamic models

M Rana, D Patel, V Vakharia, SK Singh - … and Chemistry of the Earth, Parts …, 2024 - Elsevier
Flooding disasters have a significant financial impact on metropolitan regions, highlighting
the critical need for accurate flood prediction methods. This study addresses the problem of …

Improving flood inundation modeling skill: Interconnection between model parameters and boundary conditions

N Oruc Baci, K Jafarzadegan, H Moradkhani - Modeling Earth Systems …, 2024 - Springer
Flooding is one of the most notorious natural disasters that adversely impact people's lives,
and damages their properties. To properly simulate the flood waves, two-dimensional …

UAV based comprehensive modelling approach for flood hazard assessment and mitigation planning

K Darji, U Vyas, D Patel, SK Singh, AK Dubey… - … of the Earth, Parts A/B/C, 2024 - Elsevier
The assessment of flood hazard in semi-arid region under the scare data situation is a
challenging task under the changing climatic situation. Therefore, the present research is …