Deep learning methods for flood mapping: a review of existing applications and future research directions
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …
the limitations of accurate, yet slow, numerical models, and to improve the results of …
Deep learning methods for flood mapping: A review of existing applications and future research directions
Deep Learning techniques have been increasingly used in flood risk management to
overcome the limitations of accurate, yet slow, numerical models, and to improve the results …
overcome the limitations of accurate, yet slow, numerical models, and to improve the results …
Flood vulnerability models and household flood damage mitigation measures: An econometric analysis of survey data
Flood events are expected to increase in their frequency and severity, which results in
higher flood risk without additional adaptation measures. The information gained from flood …
higher flood risk without additional adaptation measures. The information gained from flood …
Flood mitigation data analytics and decision support framework: Iowa Middle Cedar Watershed case study
Y Alabbad, E Yildirim, I Demir - Science of The Total Environment, 2022 - Elsevier
Flooding is one of the most frequent natural disasters, causing billions of dollars in damage
and threatening vulnerable communities worldwide. Although the impact of flooding can …
and threatening vulnerable communities worldwide. Although the impact of flooding can …
[HTML][HTML] A two-way coupled CHANS model for flood emergency management, with a focus on temporary flood defences
This study presents a novel Coupled Human And Natural Systems (CHANS) modelling
framework that integrates a hydrodynamic model with an agent-based model at the memory …
framework that integrates a hydrodynamic model with an agent-based model at the memory …
Analysis of air‐inflated rubber dam for flood‐fighting at the subway entrance
The air‐inflated rubber dam is innovatively adopted in this paper for temporary flood‐fighting
at the subway entrance. Numerical studies using the FLAC2D software are carried out to …
at the subway entrance. Numerical studies using the FLAC2D software are carried out to …
Quantifying the failure probability of a canal levee
K Lendering, T Schweckendiek… - Georisk: assessment and …, 2018 - Taylor & Francis
Polders in the Netherlands are protected from flooding by flood defence systems along main
water bodies such as rivers, lakes or the sea. Inside polders, canal levees provide protection …
water bodies such as rivers, lakes or the sea. Inside polders, canal levees provide protection …
[HTML][HTML] 近41 年来江南地区暴雨洪涝灾害时空变化特征分析
黄垭飞， 管兆勇， 蔡倩， 吕纯月 - 气象学报, 2021 - html.rhhz.net
暴雨和防灾能力建设是影响洪涝灾害发生及其损失变化的重要因素. 根据1978—2018
年江南地区(沪, 浙, 闽, 湘, 赣五省, 市) 暴雨洪涝灾害数据, 气象台站观测逐日降水量资料 …
年江南地区(沪, 浙, 闽, 湘, 赣五省, 市) 暴雨洪涝灾害数据, 气象台站观测逐日降水量资料 …
HTCViT: an effective network for image classification and segmentation based on natural disaster datasets
Z Ma, W Li, M Zhang, W Meng, S Xu, X Zhang - The Visual Computer, 2023 - Springer
Classifying and segmenting natural disaster images are crucial for predicting and
responding to disasters. However, current convolutional networks perform poorly in …
responding to disasters. However, current convolutional networks perform poorly in …
Rapid forecasting of compound flooding for a coastal area based on data-driven approach
K Xu, Z Han, L Bin, R Shen, Y Long - Natural Hazards, 2024 - Springer
The scenarios when heavy rainfall and high tides occur in succession or simultaneously can
lead to compound flooding. Compound floods exhibit greater destructiveness than floods …
lead to compound flooding. Compound floods exhibit greater destructiveness than floods …