A novel framework for the spatiotemporal assessment of urban flood vulnerability

X Tang, X Huang, J Tian, S Pan, X Ding, Q Zhou… - Sustainable Cities and …, 2024 - Elsevier
Abstract Considering the pressing Urban Flood (UF) challenges faced by developing
countries, the assessment of Urban Flood Vulnerability (UFV) assumes paramount …

City scale urban flooding risk assessment using multi-source data and machine learning approach

W Qing, Z Huijin, C Yongqi, X Yifan, Y Hailong… - Journal of …, 2024 - Elsevier
With the frequent occurrence of extreme rainfall and the acceleration of urbanization, the
issue of urban flooding worldwide has gained increasing prominence. City scale flooding …

Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas

M Rihan, J Mallick, I Ansari, MR Islam, HT Hang… - Earth Science …, 2025 - Springer
Flash floods, which are influenced by hydro-meteorological conditions, are increasingly
being triggered in the Uttarakhand Himalayas due to human-induced environmental and …

Interpretable GBDT model-based multi-objective optimization analysis for the lateral inlet/outlet design in pumped-storage power stations

G Guo, Y Liu, Z Cao, D Zhang… - Journal of Hydroinformatics, 2024 - iwaponline.com
The uneven velocity distribution formed at the lateral inlet/outlet poses a significant risk of
damaging the trash racks. Reasonable design of the inlet/outlet structures requires the …

Probabilistic and Machine Learning-Based Multi-Hazard Resilience Assessment

Y Jia - 2024 - search.proquest.com
Assessing multi-hazard resilience has become increasingly important, as it can help
communities and stakeholders prepare for and recover from natural disasters and reduce …