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Flooding in semi-unformal urban areas in North Africa: Environmental and psychosocial drivers
Urban flooding is recognized as a nature-driven disaster shaped by inherent factors such as
climate, morphology, and hydrology, affecting vulnerability and flood exposure. While these …
climate, morphology, and hydrology, affecting vulnerability and flood exposure. While these …
Integrating social vulnerability into high-resolution global flood risk map**
High-resolution global flood risk maps are increasingly used to inform disaster risk planning
and response, particularly in lower income countries with limited data or capacity. However …
and response, particularly in lower income countries with limited data or capacity. However …
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility map** in transboundary river basin
Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …
management challenges are typically complicated in the transboundary river basin due to …
[HTML][HTML] Automating the detection of hydrological barriers and fragmentation in wetlands using deep learning and InSAR
The loss of hydrological connectivity and fragmentation of natural wetlands are widespread
drivers of wetland degradation. Understanding where and how natural connectivity is …
drivers of wetland degradation. Understanding where and how natural connectivity is …
Limited progress in global reduction of vulnerability to flood impacts over the past two decades
Global flood impacts have risen in recent decades. While increasing exposure was the
dominant driver of surging impacts, counteracting vulnerability reductions have been …
dominant driver of surging impacts, counteracting vulnerability reductions have been …
Climate change and urban sprawl: Unveiling the escalating flood risks in river deltas with a deep dive into the GBM river delta
River deltas, such as the Ganges-Brahmaputra-Meghna (GBM) delta, are highly vulnerable
to flooding, exacerbated by intense human activities and rapid urban growth. This study …
to flooding, exacerbated by intense human activities and rapid urban growth. This study …
Assessment of urban underground spaces inundation during extreme rainfall events
J Zhong, D Li, K Jiang - Water Science & Technology, 2024 - iwaponline.com
As urbanization progresses and the impacts of climate change become more pronounced,
urban flooding has emerged as a critical challenge for resilient cities, particularly concerning …
urban flooding has emerged as a critical challenge for resilient cities, particularly concerning …
[HTML][HTML] Novel time-lag informed deep learning framework for enhanced streamflow prediction and flood early warning in large-scale catchments
Constrained by the sparsity of observational streamflow data, large-scale catchments face
pressing challenges in streamflow prediction and flood management amid climate change …
pressing challenges in streamflow prediction and flood management amid climate change …
[HTML][HTML] Spatial prediction of fluvial flood in high-frequency tropical cyclone area using TensorFlow 1D-convolution neural networks and geospatial data
Fluvial floods endure as one of the most catastrophic weather-induced disasters worldwide,
leading to numerous fatalities each year and significantly impacting socio-economic …
leading to numerous fatalities each year and significantly impacting socio-economic …
Attribution analysis of urban social resilience differences under rainstorm disaster impact: Insights from interpretable spatial machine learning framework
With the frequent occurrence of extreme rainstorms in global cities, understanding
differences in social resilience is crucial for constructing climate-adaptive communities …
differences in social resilience is crucial for constructing climate-adaptive communities …