UH Research Archive: Recent submissions
Now showing items 681-700 of 24753
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Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience
(2024-04-19)Natural disasters cause extensive losses worldwide annually. Flood events are responsible for economic and life-threatening damages[1]. To mitigate flood risks and resulting damages, particularly in the construction of ... -
Physics-Informed AI-based Modelling for Flood Early Warning Systems
(2024-04-19)Today, the vast majority of early warning systems (EWS) are introduced in which advanced deep learning, recurrent neural network or ensemble-based data mining techniques are applied to provide more accurate and reliable ... -
Optimising oceanic rainfall estimates for increased lead time of stream level forecasting: A case study of GPM IMERG estimates application in the UK
(2024-04-19)Among the three main rainfall data sources (rain gauge stations, rainfall radar stations and weather satellites), satellites are often the most appropriate for longer lead times in real-time flood forecasting [1]. This is ... -
Enhancing Urban Flood Prediction Accuracy with Physics-Informed Neural Networks: A Case Study in Real-Time Rainfall Data Integration
(2024-04-19)Urban flooding presents significant socio-economic challenges in cities, emphasising the need for effective flood forecasting [1]. Traditional flood prediction methods are data-intensive and time-consuming for calibration ... -
Integrated Data-Driven Approach for Early Pollution Detection and Management in the Thames River Ecosystem
(2024-04-19)The increasing pollution levels in rivers have become a serious concern worldwide due to their detrimental impact on ecosystems and human health. Recently, there has been a growing recognition of the need for early warning ... -
Application of Internet of Things in Real-Time Urban Flood Risk Management
(2024-04-19)Today, IoT devices are becoming integral to the real-time management of flooding through the implementation of flood early warning systems [1]. With the assistance of advancements in remote sensing, the expanding band board ... -
Comprehensive Flood Early Warning Systems: From Modelling to Policy Making Perspectives
(2024-04-19)Todays, early warning systems are widely applied in real-time flood forecasting operations as valuable non-structural tools for mitigating the impacts of floods [1]. Although many research works have perfectly could review ... -
Time-series Boosting in Ensemble Modelling of Real-Time Flood Forecasting Application
(2023-04-28)While concept of boosting ensemble data mining techniques has been recently attracted a lot of attention for flood forecasting, mainly on non-urbanised river basins or reservoirs [1,2], time-series boosting, i.e., contribution ... -
Application of Innovative Digital Technologies in Urban Flood Risk Management
(2023-04-28)Climate change can lead to several devastating hazards, including extreme rainfall and alteration of precipitation patterns that both contribute to more urban floods and various repercussions on urban life and infrastructure ... -
Unveiling the Interplay: Flood Impacts on Transportation, Vulnerable Communities, and Early Warning Systems
(2024-04-19)Flooding's impact on transportation infrastructure is crucial, influencing urban mobility, economic activities, and societal resilience [1]. Disruptions in transportation networks during flood events significantly impede ... -
Rule-based BPNN model for real-time IDF prediction of rainfall: Valuable Input for Early Warning Systems
(2024-04-19)Rainfall data sources constitute a vital component of flood early warning systems (EWS), and their inseparability from these systems is evident [1]. However, the information derived from these sources is typically confined ... -
Machine Learning in Communication Systems and Networks
(MDPI Multidisciplinary Digital Publishing Institute, 2024-04-18)Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a ... -
Antimicrobial Stewardship Strategies, Measures and Quality Improvement During COVID-19: The Role of Pharmacist
(2021-11-10)This research delves into Antimicrobial Stewardship (AMS) strategies and quality improvement measures in acute-care hospitals during the COVID-19 pandemic, with a focus on the role of pharmacists. It examines how the ... -
Antibiotic Prescribing: A Retrospective Study from One English National Health Service (NHS) Foundation Trusts Before And During The COVID-19 Pandemic.
(2023-06-20)This research by Abdelsalam Elshenawy Rasha., investigates antibiotic prescribing practices before and during the COVID-19 pandemic at an English NHS Trust. It focuses on understanding the implications of Antimicrobial ... -
Measurement of the ^{140}Ce(n,γ) Cross Section at n_TOF and Its Astrophysical Implications for the Chemical Evolution of the Universe
(2024-03-21)^{140}Ce(n,γ) is a key reaction for slow neutron-capture (s-process) nucleosynthesis due to being a bottleneck in the reaction flow. For this reason, it was measured with high accuracy (uncertainty ≈5%) at the n_TOF facility, ... -
National pharmacy associations in the commonwealth: current scenario and future needs to maximise effective contributions of the pharmacy profession towards universal health coverage
(2021-12-27)BACKGROUND: The Commonwealth Pharmacists Association (CPA) is a charity representing pharmacists across the Commonwealth, with the vision of empowering and collaboratively develop the profession and fully utilise the ... -
LGBT+ inclusive primary education in England and Wales: overcoming objections and developing effective practice
(University of Hertfordshire, 2023-06-15)Report/resource from British Academy/ Leverhulme funded research around the impact of protests on LGBT+ inclusive primary education. Includes key research findings and recommendations for overcoming objections and developing ... -
Finalising a Pesticide Load Indicator for the UK: Phase 4 Report PC0116 : Final report
(Department for Environment, Food and Rural Affairs (Defra), 2023-07-11)The UK Pesticide Load Indicator (PLI) is a multi-component indicator, which combines data on the usage of different pesticide active substances in UK agriculture with information on their propensity to persist, bioaccumulate, ...