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Appliance for Water consumption management in showering by using Arduino kit, Energy NExus and SensorS : AWARENESS kit
Piadeh, Farzad; Girotto, Cristiane; Egyir, Daniel; P. Rizzuto, Joseph; Behzadian, Kourosh (2023-09-07) -
Appliance for Water consumption management in showering by using Arduino kit, Energy NExus and SensorS Presentation : AWARENESS kit
Piadeh, Farzad; Girotto, Cristiane; Egyir, Daniel; P. Rizzuto, Joseph; Behzadian, Kourosh (2023-09-07) -
Application of Innovative Digital Technologies in Urban Flood Risk Management
Bakhtiari, Vahid; Piadeh, Farzad; Behzadian, Kourosh (2023-04-25)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 ... -
Application of Internet of Things in Real-Time Urban Flood Risk Management
Bakhtiari, Vahid; Piadeh, Farzad; Behzadian, Kourosh (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 ... -
Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience
Naghed, Seyedeh Negar; Maleki, Ali; Vahid, Rasool; Piadeh, Farzad; Behzadian, Kourosh (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 ... -
Comprehensive Flood Early Warning Systems: From Modelling to Policy Making Perspectives
Behzadian, Kourosh; Piadeh, Farzad; Razavi, Saman; C. Campos, Luiza; Gheibi, Mohamad; S. Chen, Albert (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 ... -
A critical review for the application of cutting-edge digital visualisation technologies for effective urban flood risk management
Bakhtiari, Vahid; Piadeh, Farzad; Behzadian, Kourosh; Kapelan, Zoran (2023-12-31)Cutting-edge digital visualisation tools (CDVT) are playing an increasingly important role in improving urban flood risk management. However, there is a paucity of comprehensive research examining their role across all ... -
A critical review for the impact of anaerobic digestion on the sustainable development goals
Piadeh, Farzad; Offie, Ikechukwu; Behzadian, Kourosh; P. Rizzuto, Joseph; Bywater, Angela; Córdoba-Pachón, José-Rodrigo; Walker, Mark (2024-01-01)Anaerobic Digestion (AD) technology emerges as a viable solution for managing municipal organic waste, offering pollution reduction and the generation of biogas and fertilisers. This study reviews the research works for ... -
A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards
Girotto, Cristiane; Piadeh, Farzad; Bakhtiari, Vahid; Behzadian, Kourosh; S. Chen, Albert; C. Campos, Luiza; Zolgharni, Massoud (2024-01-01)Water-related climatic disasters pose a significant threat to human health due to the potential of disease outbreaks, which are exacerbated by climate change. Therefore, it is crucial to predict their occurrence with ... -
Enhancing Urban Flood Forecasting in Drainage Systems Using Dynamic Ensemble-based Data Mining
Piadeh, Farzad; Behzadian, Kourosh; S. Chen, Albert; Kapelan, Zoran; P. Rizzuto, Joseph; C. Campos, Luiza (2023-12-01)This study presents a novel approach for urban flood forecasting in drainage systems using a dynamic ensemble-based data mining model which has yet to be utilised properly in this context. The proposed method incorporates ... -
Enhancing Urban Flood Prediction Accuracy with Physics-Informed Neural Networks: A Case Study in Real-Time Rainfall Data Integration
Raeisi, Sina; Piadeh, Farzad; Behzadian, Kourosh (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
Najjar-Ghabel, Saeid; Piadeh, Farzad; Behzadian, Kourosh; Ardakanian, Atiyeh (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 ... -
Machine learning models for stream-level predictions using readings from satellite and ground gauging stations
Girotto, Cristiane; Piadeh, Farzad; Behzadian, Kourosh; Zolgharni, Massoud; C. Campos, Luiza; S. Chen, Albert (2024-04-19)While the accuracy of flood predictions is likely to improve with increasing gauging station networks and robust radar coverage, challenges arise when such sources are spatially limited [1]. For instance, severe rainfall ... -
Optimising oceanic rainfall estimates for increased lead time of stream level forecasting: A case study of GPM IMERG estimates application in the UK
Girotto, Cristiane; Piadeh, Farzad; Behzadian, Kourosh; Zolgharni, Massoud; C. Campos, Luiza; S. Chen, Albert (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 ... -
Physics-Informed AI-based Modelling for Flood Early Warning Systems
Piadeh, Farzad; Behzadian, Kourosh (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 ... -
Real-time operation of municipal anaerobic digestion using an ensemble data mining framework
Piadeh, Farzad; Offie, Ikechukwu; Behzadian, Kourosh; Bywater, Angela; C. Campos, Luiza (2023-11-13)This study presents a novel approach for real-time operation of anaerobic digestion using an ensemble decision-making framework composed of weak learner data mining models. The framework utilises simple but practical ... -
Rule-based BPNN model for real-time IDF prediction of rainfall: Valuable Input for Early Warning Systems
Piadeh, Farshad; Piadeh, Farzad (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 ... -
Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review
Bakhtiari, Vahid; Piadeh, Farzad; S. Chen, Albert; Behzadian, Kourosh (2024-02-02)Cutting-edge flood visualisation technologies are becoming increasingly important in managing urban flood risks, particularly from the perspective of stakeholders who play a crucial role in controlling and reducing the ... -
Time-series Boosting in Ensemble Modelling of Real-Time Flood Forecasting Application
Piadeh, Farshad; Piadeh, Farzad; Behzadian, Kourosh (2023-04-25)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 ... -
Unveiling the Interplay: Flood Impacts on Transportation, Vulnerable Communities, and Early Warning Systems
Naghedi, Seyedeh Negar; Piadeh, Farzad; Behzadian, Kourosh; Hemmati, Moein (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 ...