[HTML][HTML] A review of application of machine learning in storm surge problems

Y Qin, C Su, D Chu, J Zhang, J Song - Journal of Marine Science and …, 2023 - mdpi.com
The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …

A new surge index with the incorporation of cyclone track approach angle information for the Bay of Bengal

VG Shashank, V Sriram, H Schüttrumpf… - Coastal …, 2024 - Elsevier
A novel tropical cyclone surge potential index (TCSPI) for estimating tropical cyclone (TC)
induced potential peak surge levels near the landfall locations for the entire coast of the Bay …

Assessing the influence of land use and land cover data on cyclonic winds and coastal inundation due to tropical cyclones: a case study for the east coast of India

P Tiwari, AD Rao, S Pandey, V Pant - Natural Hazards, 2024 - Springer
Abstract A standalone Advanced Circulation (ADCIRC) model for the east coast of India with
a high-resolution grid of 100 m near the coast is used to evaluate coastal inundation …

Multi-agent cooperative optimal scheduling strategy of integrated energy system in urban area under extreme events

H Chen, Z Dou, J Li, S Wang, C Zhang… - … in Sciences and …, 2024 - content.iospress.com
Because the global climate change intensifies as well as the natural disasters frequently
occur, extreme events have caused serious impacts on the energy system in urban areas …

Multi-hazard interaction assessment, case study: tropical cyclone Maria

S Das - 2024 - essay.utwente.nl
The intensification and frequency of natural hazards pose significant challenges to human
societies, requiring an improved understanding of hazards and risks for enhanced disaster …