Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID ▲ Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-3751 article 2019 Liu, Ying and Liu, Ying and Liu, Ying and Liu, Ying and Lin, Zhongxu and Zhang, Lin and Yang, Yuan and Yang, Yuan and Zhou, Longfei and Zhou, Longfei and Ren, Lei and Ren, Lei and Wang, Fei and Wang, Fei and Wang, Fei and Wang, Fei and Wang, Fei and Liu, Rong and Liu, Rong and Pang, Zhibo and Pang, Zhibo and Deen, M.J. and Deen, M. Jamal and Deen, M. Jamal and Deen, M. Jamal and Deen, M. Jamal A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin IEEE Access 10.1109/access.2019.2909828 With the development of technologies, such as big data, cloud computing, and the Internet of Things (IoT), digital twin is being applied in industry as a precision simulation technology from concept to practice. Further, simulation plays a very important role in the healthcare field, especially in research on medical pathway planning, medical resource allocation, medical activity prediction, etc. By combining digital twin and healthcare, there will be a new and efficient way to provide more accurate and fast services for elderly healthcare. However, how to achieve personal health management throughout the entire lifecycle of elderly patients, and how to converge the medical physical world and the virtual world to realize real smart healthcare, are still two key challenges in the era of precision medicine. In this paper, a framework of the cloud healthcare system is proposed based on digital twin healthcare (CloudDTH). This is a novel, generalized, and extensible framework in the cloud environment for monitoring, diagnosing and predicting aspects of the health of individuals using, for example, wearable medical devices, toward the goal of personal health management, especially for the elderly. CloudDTH aims to achieve interaction and convergence between medical physical and virtual spaces. Accordingly, a novel concept of digital twin healthcare (DTH) is proposed and discussed, and a DTH model is implemented. Next, a reference framework of CloudDTH based on DTH is constructed, and its key enabling technologies are explored. Finally, the feasibility of some application scenarios and a case study for real-time supervision are demonstrated.
publications-3752 article 2019 Fornarelli, Roberta and Fornarelli, R. and Anda, M. and Anda, Martin and Dallas, S. and Dallas, Stewart and Schmack, Mario and Schmack, Mario and Dawood, Furat and Dawood, Furat and Byrne, Josh and Byrne, J. and Morrison, Gregory M. and Morrison, Gregory M. and Fox-Reynolds, K. and Fox-Reynolds, K. Enabling residential hybrid water systems through a water credit–debit system Water supply 10.2166/ws.2019.093 Smart metering and data analytics enable the implementation of a range of onsite infrastructures for energy, water and waste management to demonstrate the interconnected infrastructure of future smart cities. A smart city funded project in Western Australia is integrating smart metering technology, household participation and data analytics. Better understanding of hybrid water systems at residential scale, as socially accepted solutions to promote water efficiency and economic savings, within the traditional centralised urban water network is achieved. An integrated water model and a system of water credits and debits is developed and tested on a case study for which 10-minute logged water consumption data of its hybrid water system are available for one year. The model is shown to provide a full characterization of the relationship between the household and the water resources, thus assisting with an improved urban water management which promotes the rollout of decentralized hybrid water systems whilst accounting for the impacts on the aquifer as an ecosystem service provider.
publications-3753 article 2019 Curl, Jason and Curl, Jason M. and Nading, Tyler and Nading, Tyler and Hegger, Kyle and Hegger, Kyle and Barhoumi, Amer and Barhoumi, Amer and Smoczynski, Monika and Smoczynski, Monika Digital Twins: The Next Generation of Water Treatment Technology Journal American Water Works Association 10.1002/awwa.1413 Key Takeaways Water utilities are turning to β€_x009c_digital twinsβ€_x009d_ to benefit their ongoing operations, improve planning, and enhance operator training. As facility β€_x009c_flight simulators,β€_x009d_ digital twins allow utilities to quickly investigate many solutions without putting equipment, public health, or the environment at risk. Dynamic process simulations boost communication and collaboration, especially for teams with varied technical backgrounds.
publications-3754 article 2020 Fan, Chao and Fan, Chao and Jiang, Yucheng and Jiang, Yucheng and Mostafavi, Ali and Mostafavi, Ali Social Sensing in Disaster City Digital Twin: Integrated Textual–Visual–Geo Framework for Situational Awareness during Built Environment Disruptions Journal of Management in Engineering 10.1061/(asce)me.1943-5479.0000745 AbstractThis paper proposed and tested an integrated textual–visual–geo framework to enhance social sensing techniques in smart city digital twins in the context of disasters. Effective and efficie...
publications-3755 article 2020 Lu, Roujian and Lu, Roujian and Lu, Roujian and Lu, Roujian and Zhao, Xiang and Zhao, Xiang and Liu, Xiufan and Li, Juan and Li, Juan and Li, Juan and Niu, Peihua and Niu, Peihua and Yang, Bo and Yang, Bo and Wu, Honglong and Wu, Honglong and Wu, Honglong and Wang, Wenling and Wang, Wenling and Song, Hao and Song, Hao and Huang, Baoying and Huang, Baoying and Zhu, Na and Zhu, Na and Bi, Yang and Bi, Yuhai and Ma, Xuejun and Ma, Xuejun and Zhan, Faxian and Zhan, Faxian and Wang, Liang and Wang, Liang and Wang, Liang and Wang, Liang and Wang, Liang and Hu, Tao and Hu, Tao and Hu, Tao and Zhou, Hong and Zhou, Hong and Hu, Zhenhong and Hu, Zhenhong and Zhou, Weimin and Zhou, Weimin and Zhao, Li and Zhao, Li and Zhao, Li and Jing, Chen and Chen, Jing and Chen, Jing and Meng, Yujie and Meng, Yao and Wang, Ji and Wang, Ji and Yang, Lin and Lin, Yang and Yuan, Jianying and Yuan, Jianying and Xie, Zhenghua and Xie, Zhihao and Ma, Jinmin and Ma, Jinmin and Liu, William J. and Liu, William J. and Wang, Dayan and Wang, Dayan and Xu, Wenbo and Xu, Wenbo and Holmes, Edward C. and Holmes, Edward C. and Gao, George F. and Gao, George F. and Wu, Guizhen and Wu, Guizhen and Chen, Weijun and Chen, Weijun and Chen, Weijun and Shi, Weifeng and Shi, Weifeng and Tan, Wenjie and Tan, Wenjie and Tan, Wenjie and Tan, Wenjie Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet 10.1016/s0140-6736(20)30251-8 Summary Background In late December, 2019, patients presenting with viral pneumonia due to an unidentified microbial agent were reported in Wuhan, China. A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV). As of Jan 26, 2020, more than 2000 cases of 2019-nCoV infection have been confirmed, most of which involved people living in or visiting Wuhan, and human-to-human transmission has been confirmed. Methods We did next-generation sequencing of samples from bronchoalveolar lavage fluid and cultured isolates from nine inpatients, eight of whom had visited the Huanan seafood market in Wuhan. Complete and partial 2019-nCoV genome sequences were obtained from these individuals. Viral contigs were connected using Sanger sequencing to obtain the full-length genomes, with the terminal regions determined by rapid amplification of cDNA ends. Phylogenetic analysis of these 2019-nCoV genomes and those of other coronaviruses was used to determine the evolutionary history of the virus and help infer its likely origin. Homology modelling was done to explore the likely receptor-binding properties of the virus. Findings The ten genome sequences of 2019-nCoV obtained from the nine patients were extremely similar, exhibiting more than 99Β·98\% sequence identity. Notably, 2019-nCoV was closely related (with 88\% identity) to two bat-derived severe acute respiratory syndrome (SARS)-like coronaviruses, bat-SL-CoVZC45 and bat-SL-CoVZXC21, collected in 2018 in Zhoushan, eastern China, but were more distant from SARS-CoV (about 79\%) and MERS-CoV (about 50\%). Phylogenetic analysis revealed that 2019-nCoV fell within the subgenus Sarbecovirus of the genus Betacoronavirus, with a relatively long branch length to its closest relatives bat-SL-CoVZC45 and bat-SL-CoVZXC21, and was genetically distinct from SARS-CoV. Notably, homology modelling revealed that 2019-nCoV had a similar receptor-binding domain structure to that of SARS-CoV, despite amino acid variation at some key residues. Interpretation 2019-nCoV is sufficiently divergent from SARS-CoV to be considered a new human-infecting betacoronavirus. Although our phylogenetic analysis suggests that bats might be the original host of this virus, an animal sold at the seafood market in Wuhan might represent an intermediate host facilitating the emergence of the virus in humans. Importantly, structural analysis suggests that 2019-nCoV might be able to bind to the angiotensin-converting enzyme 2 receptor in humans. The future evolution, adaptation, and spread of this virus warrant urgent investigation. Funding National Key Research and Development Program of China, National Major Project for Control and Prevention of Infectious Disease in China, Chinese Academy of Sciences, Shandong First Medical University.
publications-3756 article 2020 Boje, Calin and Boje, Calin and Guerriero, Annie and Guerriero, Annie and Rezgui, Yacine and Kubicki, Sylvain and Rezgui, Yacine Towards a semantic Construction Digital Twin: directions for future research Automation in Construction 10.1016/j.autcon.2020.103179 Abstract As the Architecture, Engineering and Construction sector is embracing the digital age, the processes involved in the design, construction and operation of built assets are more and more influenced by technologies dealing with value-added monitoring of data from sensor networks, management of this data in secure and resilient storage systems underpinned by semantic models, as well as the simulation and optimisation of engineering systems. Aside from enhancing the efficiency of the value chain, such information-intensive models and associated technologies play a decisive role in minimising the lifecycle impacts of our buildings. While Building Information Modelling provides procedures, technologies and data schemas enabling a standardised semantic representation of building components and systems, the concept of a Digital Twin conveys a more holistic socio-technical and process-oriented characterisation of the complex artefacts involved by leveraging the synchronicity of the cyber-physical bi-directional data flows. Moreover, BIM lacks semantic completeness in areas such as control systems, including sensor networks, social systems, and urban artefacts beyond the scope of buildings, thus requiring a holistic, scalable semantic approach that factors in dynamic data at different levels. The paper reviews the multi-faceted applications of BIM during the construction stage and highlights limits and requirements, paving the way to the concept of a Construction Digital Twin. A definition of such a concept is then given, described in terms of underpinning research themes, while elaborating on areas for future research.
publications-3757 article 2020 Berglund, Emily Zechman and Pesantez, Jorge E. and Rasekh, Amin and Shafiee, M. Ehsan and Sela, Lina and Haxton, Terranna Review of Modeling Methodologies for Managing Water Distribution Security Journal of Water Resources Planning and Management 10.1061/(asce)wr.1943-5452.0001265 AbstractWater distribution systems are vulnerable to hazards that threaten water delivery, water quality, and physical and cybernetic infrastructure. Water utilities and managers are responsible fo...
publications-3758 article 2020 Asadi-Ghalhari, Mahdi and Asadi-Ghalhari, Mahdi and Aali, Rahim and Aali, Rahim COVID-19: Reopening public spaces and secondary health risk potential via stagnant water in indoor pipe networks Indoor and Built Environment 10.1177/1420326x20943257
publications-3759 article 2021 Xiang, Xiaojun and Xiang, Xiaojun and Li, Qiong and Li, Qiong and Khan, Shahnawaz and Khan, Shahnawaz and Khan, Shahnawaz and Khalaf, Osamah Ibrahim and Khalaf, Osamah Ibrahim Urban water resource management for sustainable environment planning using artificial intelligence techniques Environmental Impact Assessment Review 10.1016/j.eiar.2020.106515
publications-3760 article 2021 Shahat, Ehab and Shahat, Ehab and Hyun, Chang Taek and Hyun, Chang T. and Yeom, Chunho and Yeom, Chunho City Digital Twin Potentials: A Review and Research Agenda Sustainability 10.3390/su13063386 The city digital twin is anticipated to accurately reflect and affect the city’s functions and processes to enhance its realization, operability, and management. Although research on the city digital twin is still in its infancy, the advancement of the digital twin technology is growing fast and providing viable contributions to augmenting smart city developments. This study reviews the literature to identify the current and prospective potentials and challenges of digital twin cities. A research agenda is also proposed to guide future research on the city digital twincity digital twin to reach the utmost level of a comprehensive and complete city digital twin. Enhancing the efficiency of data processing, promoting the inclusion of socio-economic components of the city, and developing mutual integration between the two counterparts of the digital twin are proposed to be the future research directions to achieve and utilize a completely mirrored city digital twin.