Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
Y Liao, Z Wang, X Chen, C Lai - Journal of Hydrology, 2023 - Elsevier
Urban pluvial floods induced by rainstorms can cause severe losses to human lives and
property. Fast and accurate simulation and prediction of urban pluvial flood are of …
property. Fast and accurate simulation and prediction of urban pluvial flood are of …
[HTML][HTML] Adapting cities to the surge: A comprehensive review of climate-induced urban flooding
G Dharmarathne, AO Waduge, M Bogahawaththa… - Results in …, 2024 - Elsevier
Climate change is a serious global issue causing more extreme weather patterns, resulting
in more frequent and severe events like urban flooding. This review explores the connection …
in more frequent and severe events like urban flooding. This review explores the connection …
[HTML][HTML] Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review
H Sun, X Zhang, X Ruan, H Jiang, W Shou - Remote Sensing, 2024 - mdpi.com
Coastal regions, increasingly threatened by floods due to climate-change-driven extreme
weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In …
weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In …
[HTML][HTML] Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities
As a result of urbanization and climate change, urban areas are increasingly vulnerable to
flooding, which can have devastating effects on the loss of life and property. Remote sensing …
flooding, which can have devastating effects on the loss of life and property. Remote sensing …
[HTML][HTML] An effective approach for automatic river features extraction using high-resolution UAV imagery
The effects of climate change are causing an increase in the frequency and extent of natural
disasters. Because of their morphological characteristics, rivers can cause major flooding …
disasters. Because of their morphological characteristics, rivers can cause major flooding …
Two-dimensional convolutional neural network outperforms other machine learning architectures for water depth surrogate modeling
X Yan, A Mohammadian, R Ao, J Liu, N Yang - Journal of Hydrology, 2023 - Elsevier
Rapid prediction of spatially distributed hydrological variables, such as water depths in
rivers, is an important but challenging task. This study proposes a novel matrix-based deep …
rivers, is an important but challenging task. This study proposes a novel matrix-based deep …
Spatio-temporal cross-validation to predict pluvial flood events in the Metropolitan City of Venice
Due to a combination of climate change and urbanization, the instances of pluvial flooding
are expected to increase in the next decades posing raising threats to properties, people …
are expected to increase in the next decades posing raising threats to properties, people …
Impacts of rainstorm characteristics on flood inundation mitigation performance of LID measures throughout an urban catchment
Z Zhou, Q Li, P He, Y Du, Z Zou, S Xu, X Han… - Journal of Hydrology, 2023 - Elsevier
The hydrological benefits of sponge city construction have sparked a variety of academic
studies and discussions. However, the effectiveness of sponge city construction in mitigating …
studies and discussions. However, the effectiveness of sponge city construction in mitigating …
Threshold effect of data amount and grid size on urban land use type identification using multi-source data fusion
H Lv, Z Wu, X Guan, Y Meng, H Wang… - Sustainable Cities and …, 2023 - Elsevier
Reliable urban land use maps are important for sustainable development and planning.
Currently, the effects of different data source combinations and grid sizes on mapping results …
Currently, the effects of different data source combinations and grid sizes on mapping results …
Tool for fast assessment of stormwater flood volumes for urban catchment: A machine learning approach
Specific flood volume is an important criterion for evaluating the performance of sewer
networks. Currently, mechanistic models-MCMs (eg, SWMM) are usually used for its …
networks. Currently, mechanistic models-MCMs (eg, SWMM) are usually used for its …