[HTML][HTML] Geomorphometry and terrain analysis: Data, methods, platforms and applications

L Xiong, S Li, G Tang, J Strobl - Earth-Science Reviews, 2022 - Elsevier
Terrain is considered one of the most essential natural geographic features and is a key
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …

Between flood and drought: How cities are facing water surplus and scarcity

J Dąbrowska, AEM Orellana, W Kilian, A Moryl… - Journal of …, 2023 - Elsevier
Droughts and floods are weather-related hazards affecting cities in all climate zones and
causing human deaths and material losses on all inhabited continents. The aim of this article …

Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping

A Alipour, K Jafarzadegan, H Moradkhani - Environmental Modelling & …, 2022 - Elsevier
Flood simulation with two-dimensional hydrodynamic models is subject to different sources
of uncertainties in model configuration, boundary conditions, and model parametrization …

[HTML][HTML] A review of recent advances in urban flood research

C Agonafir, T Lakhankar, R Khanbilvardi, N Krakauer… - Water Security, 2023 - Elsevier
Due to a changing climate and increased urbanization, an escalation of urban flooding
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …

Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling

P Costabile, C Costanzo, D Ferraro, P Barca - Journal of Hydrology, 2021 - Elsevier
Abstract Rain-on-Grid (RoG) modelling is an increasingly popular approach within the storm
risk management, in which the hydrological and hydrodynamic flood processes are …

Bottom-up multilevel flood hazard mapping by integrated inundation modelling in data scarce cities

M Guan, K Guo, H Yan, N Wright - Journal of Hydrology, 2023 - Elsevier
With increasing urban flood risk due to urbanisation and climate change, flood hazard
prediction is ever more crucial for flood risk management and emergency response …

Development of machine learning flood model using artificial neural network (ann) at var river

M Ahmad, MA Al Mehedi, MMS Yazdan, R Kumar - Liquids, 2022 - mdpi.com
Data-driven flow forecasting models, such as Artificial Neural Networks (ANNs), are
increasingly used for operational flood warning systems. In this research, we systematically …

An urban DEM reconstruction method based on multisource data fusion for urban pluvial flooding simulation

H Huang, W Liao, X Lei, C Wang, Z Cai, H Wang - Journal of Hydrology, 2023 - Elsevier
A digital elevation model (DEM) is crucial for hydraulic/hydrodynamic simulation of urban
pluvial flooding. To reduce the simulation error caused by the low resolution and poor …

Application of Unmanned Aerial Vehicle DEM in flood modeling and comparison with global DEMs: Case study of Atrak River Basin, Iran

E Parizi, S Khojeh, SM Hosseini… - Journal of Environmental …, 2022 - Elsevier
Abstract Digital Elevation Models (DEMs) play a significant role in hydraulic modeling and
flood risk management. This study initially investigated the effect of Unmanned Aerial …

Flash flood risk assessment and mitigation in digital-era governance using unmanned aerial vehicle and GIS spatial analyses case study: Small river basins

Ș Bilașco, GG Hognogi, S Roșca, AM Pop, V Iuliu… - Remote Sensing, 2022 - mdpi.com
Watercourses act like a magnet for human communities and were always a deciding factor
when choosing settlements. The reverse of these services is a potential hazard in the form of …