XGBoost-based method for flash flood risk assessment

M Ma, G Zhao, B He, Q Li, H Dong, S Wang, Z Wang - Journal of Hydrology, 2021 - Elsevier
Flash flood risk assessment, a widely applied technology in preventing catastrophic flash
flood disasters, has become the current research hotspot. However, most existing machine …

Susceptibility assessment of flash floods: a bibliometrics analysis and review

L Duan, C Liu, H Xu, H Pan, H Liu, X Yan, T Liu… - Remote Sensing, 2022 - mdpi.com
A flash flood disaster is one of the most destructive natural disasters. With the increase in
extreme rainfall events, more and more areas will be threatened by flash floods. The flash …

Flood fatalities in Europe, 1980–2018: Variability, features, and lessons to learn

O Petrucci, L Aceto, C Bianchi, V Bigot, R Brázdil… - Water, 2019 - mdpi.com
Floods are still a significant threat to people, despite of the considerable developments in
forecasting, management, defensive, and rescue works. In the near future, climate and …

Application of the GPM-IMERG products in flash flood warning: A case study in Yunnan, China

M Ma, H Wang, P Jia, G Tang, D Wang, Z Ma, H Yan - Remote Sensing, 2020 - mdpi.com
NASA's Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG)
is a major source of precipitation data, having a larger coverage, higher precision, and a …

Development of a flash flood confidence index from disaster reports and geophysical susceptibility

A Kruczkiewicz, A Bucherie, F Ayala, C Hultquist… - Remote Sensing, 2021 - mdpi.com
The analysis of historical disaster events is a critical step towards understanding current risk
levels and changes in disaster risk over time. Disaster databases are potentially useful tools …

How reliable are the satellite-based precipitation estimations in guiding hydrological modelling in South China?

J Su, X Li, W Ren, H Lü, D Zheng - Journal of Hydrology, 2021 - Elsevier
With increasing spatiotemporal resolution and accuracy, the satellite-based precipitation
estimations have made their exploitation in hydrological applications possible, especially in …

Large-scale flash flood warning in China using deep learning

G Zhao, R Liu, M Yang, T Tu, M Ma, Y Hong… - Journal of Hydrology, 2022 - Elsevier
Flash flood warning (FFW) systems play a fundamental role in flood hazard prevention and
mitigation. In this study, we propose the first deep learning-based approach for large-scale …

Multi-objective optimization for urban drainage or sewer networks rehabilitation through pipes substitution and storage tanks installation

UA Ngamalieu-Nengoue, FJ Martínez-Solano… - Water, 2019 - mdpi.com
Drainage networks are civil constructions which do not generally attract the attention of
decision-makers. However, they are of crucial importance for cities; this can be seen when a …

Optimizing the performance of coupled 1D/2D hydrodynamic models for early warning of flash floods

G Mitsopoulos, E Panagiotatou, V Sant, E Baltas… - Water, 2022 - mdpi.com
We pose the following research question,“what are (i) the minimum required computation
grid and (ii) the required form of hydrodynamic equations, ie, shallow water equations (SWE) …

Factors affecting the intention to prepare for flash floods in the Philippines

LACA Pascual, AKS Ong, CM Briggs, JFT Diaz… - International Journal of …, 2024 - Elsevier
The Philippines is constantly exposed to natural disasters, especially flooding, which causes
immense damage to properties and casualties because of its geographical location. For …