Search Results - Carlisle, N*
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A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Published 2020“…In this paper, an innovative modelling approach based on a deep convolutional neural network (CNN) method is presented for rapid prediction of fluvial flood inundation. …”
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A high-performance coupled human and natural systems (CHANS) modelling framework for flood risk assessment and emergency management
Published 2024“…This doctoral thesis advances the field of flood risk modelling, assessment and management through the development and application of a novel high-performance Coupled Human And Natural Systems (CHANS) modelling framework, helping address the increasing risk of urban flooding due to climate change, urban expansion, and infrastructure deficits. …”
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Resilience strategies of healthcare facilities: present and future
Published 2010“…Recent statistics suggest an increased number of natural disasters around the world with climate change and global warming believed to be the main cause, thus resulting in more floods, gales, droughts and infectious diseases. …”
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The relationship between Lamb weather types and long-term changes in flood frequency, River Eden, UK
Published 2012“…Thus, the analysis suggests that systematic organisation of the North Atlantic climate system may be manifest as periods of elevated and reduced flood risk, an observation that has major implications for analyses that assume that climatic drivers of flood risk can be either statistically stationary or are following a simple trend.…”
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A two-way coupled CHANS model for flood emergency management, with a focus on temporary flood defences
Published 2024“…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 level within a multi-GPU computing environment. …”
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Conceptualising a virtual built healing environment [abstract]
Published 2008“…The need for an understanding of how innovative solutions can be used during the design of new hospitals is growing and many National Health Service (NHS) infrastructures are facing new challenges. …”
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