The relationship between Lamb weather types and long-term changes in flood frequency, River Eden, UK by Ian Pattison, Stuart N. Lane

“…Of the 27 objective Lamb weather types, only 11 could be associated with the extreme floods during the gauged period, and only 5 of these accounted for >80% of recorded extreme floods The importance of these five weather types over a longer timescale for flood risk in Carlisle was assessed, through calculating the proportion of each hydrological year classified as being associated with these flood-generating weather types. …”
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A two-way coupled CHANS model for flood emergency management, with a focus on temporary flood defences by Haoyang Qin, Qiuhua Liang, Huili Chen, Varuna De-Silva

“…The findings reveal that temporary defences can significantly reduce flood inundation by 30% with early warnings and 15% through real-time decision-making, leading to financial savings of £30 million and £15 million, respectively. …”
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A deep convolutional neural network model for rapid prediction of fluvial flood inundation by Syed Kabir, Sandhya Patidar, Xilin Xia, Qiuhua Liang, Jeffrey Neal, Gareth Pender

“…The CNN model is trained using outputs from a 2D hydraulic model (i.e. …”
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Resilience strategies of healthcare facilities: present and future by Andrew Price, Nebil Achour

“…The problem does not only relate to developing countries and the events of recent years have demonstrated the fragility of the United Kingdom (UK) healthcare infrastructure. For example: the 2005 Carlisle floods affected all emergency authorities (i.e. fire, police and health establishments); the 2007 Summer Flooding resulted in hospitals being isolated and even evacuated; and the long periods of snow at the start of 2010 added another type of problem that needs more effective emergency planning. …”
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Conceptualising a virtual built healing environment [abstract] by Emeka E. Osaji, Andrew Price, Peter Demian

“…For instance, in 2001 the first NHS privately financed hospital, the Cumberland Infirmary in Carlisle faced problems that included: overcrowding due to inadequate bed space provision; overheating due to the design and use of a glass atrium, with maximum temperatures reaching over 35°C; and collapsed ceilings. …”
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A high-performance coupled human and natural systems (CHANS) modelling framework for flood risk assessment and emergency management by Haoyang Qin

“…Lastly, the third study examines flood risk management in an less-developed region, introducing mobile pumping strategies for pluvial flood mitigation optimised via Reinforcement Learning (RL) within the CHANS framework. Applied in the Ninh Kieu District of the Can Tho City, Vietnam, this approach demonstrates an effective pluvial flood risk reduction approaching through mobile pumping, highlighting the framework’s adaptability and potential for enhancing urban flood resilience.Overall, this research advocates for a multifaceted flood management approach, directly integrating the physical process of flooding with human and social dynamics, and provides an innovative and useful tool towards the exploration and development of more effective, adaptable, and sustainable urban flood risk management solutions.…”
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