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-5001 Article 2023 Zhang J.; Cui H.; Yang A.L.; Gu F.; Shi C.; Zhang W.; Niu S. An intelligent digital twin system for paper manufacturing in the paper industry Expert Systems with Applications 10.1016/j.eswa.2023.120614 Based on the rapid development of intelligent technologies in recent years, the digital transformation of the whole industry and society has become increasingly important. Among them, digital twins and artificial intelligence have great potentials in improving industry processes and further enhancing productivity. This paper proposes an Intelligent Digital Twin System (IDTS) based on artificial intelligence and digital twins for the paper industry. The system includes the prediction models for the stirring speed of the dump chest, the water consumption of the deflaker, the supply air pressure of the dryer, and the exhaust air temperature of the dryer. The sensors, 5G network slices, and other equipment collect related data during the papermaking process for generating twin data, and we use the prediction models to analyze the data and monitor important indicators (stirring speeds, water consumptions, supply air pressures, and exhaust air temperatures) for the manufacturing processes, which are used to improve the energy utilization and production efficiency of the paper industry and thus facilitate cost saving. We apply this intelligent digital twin system and its associated prediction models to an actual paper manufacturing factory and show their effectiveness by improving the operational efficiency and saving labor and maintenance costs. Β© 2023 Elsevier Ltd
publications-5002 Article 2023 Ferreira J.G.; Bernard-Jannin L.; Cubillo A.; Lencart e Silva J.; Diedericks G.P.J.; Moore H.; Service M.; Nunes J.P. From soil to sea: An ecological modelling framework for sustainable aquaculture Aquaculture 10.1016/j.aquaculture.2023.739920 An integrated framework is presented for carrying capacity assessment of aquaculture. The SUCCESS (System for Understanding Carrying Capacity, Ecological, and Social Sustainability) modelling framework uses a catchment to coast approach and is therefore able to partition organic and inorganic loading from disparate sources, resolve primary production, and simulate aquaculture carrying capacity. An application of this framework to bivalve shellfish culture in Dundrum Bay, Northern Ireland, is used to illustrate: (i) how High-Impact-Short-Term (HIST) events such as pulse discharges from sewer systems can play an important role in changing environmental conditions in the receiving water; (ii) how changes in land-based loads can affect bay-scale nutrient enrichment and shellfish yields; and (iii) the role bivalves such as oysters and mussels can play in top-down control of eutrophication symptoms. Our results show that in Dundrum Bay bottom-up control due to reduction of land-based loads can result in a 40% reduction in shellfish harvest, and that top-down control of phytoplankton and organic detritus by cultivated filter-feeders can reduce the percentile 90 of chlorophyll (i.e. the typical maximum) by over 20%. Both these results have important consequences for water quality and human use, and illustrate the complexity of integrated coastal management in multi-use systems. The capacity of SUCCESS to analyse source apportionment from land, interactions at the open ocean interface, aquaculture production and environmental effects, and key biogeochemical processes at the bay scale, as a digital twin of the soil-to-sea continuum, makes it an important toolset for policy makers tasked with managing complex coastal systems. Β© 2023 Elsevier B.V.
publications-5003 Conference paper 2023 Kuklina P.P.; Tyurin S.V.; Artemyeva O.V. THE USE OF BREAKLINES OF HYDROGRAPHIC OBJECTS IN THREE-DIMENSIONAL MODELING OF CITIES International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 10.5194/isprs-archives-XLVIII-1-W2-2023-21-2023 Three-dimensional polygonal models are used for various tasks. They are created based on aerial photography or aerial laser scanning. In this paper, a study is conducted on what tasks require the correct geometry of the model on water bodies. The main modeling problem related to the scanner and photogrammetric processing feature is described. The general scheme of creating mesh models is given. The authors propose a method for using breaklines and generating synthetic points on hydrographic objects. The authors describe the idea of the method, and also mention their technical implementation. The paper presents information about the source data and the result on one data example. The authors leave a lot of topics for discussion, as the method requires development. Β© Author(s) 2023.
publications-5004 Article 2023 Shi Y.; Li H.; Chen S.; Chen W.; Xiong C.; Li S.; Wang Y.; Qian P.; Li S.; Hua C.; Lu P.; Liu Y.; Zhang C.; Chu J.; Lu X. Synergism utilization of urban multi-source solid waste and district green recycling development; [ε_x009f__x008e_εΈ‚ε¤_x009a_源固εΊ_x009f_ε_x008d__x008f_ε_x008c_利用δΈ_x008e_ε_x008c_Ίε_x009f__x009f_绿色εΎη_x008e_―ε_x008f_‘ε±•η ”η©¶] Bulletin of Chinese Academy of Sciences 10.16418/j.issn.1000-3045.20230926002 The long-term storage and extensive disposal of solid waste have caused serious water soil air composite pollution. It is necessary to strengthen the scientific and effective utilization of solid waste, which is not only conducive to solving the major pollution problem of solid waste, but also alleviates the shortage of resources and energy in China. This study summarizes three typical types of urban solid waste comprehensive treatment experience models, and points out that the solid waste circular economy model characterized by centralization, resource utilization, and greening is the main way to solve the complex problem of solid waste. Therefore, it is urgent to systematically carry out research on key technologies, equipment, and integrated optimization control of resource, energy, and environmental systems under the urban multi-source solid waste collaborative utilization model. Taking the development practice of Haixinsha National Resource Recycling Base as an example, by breaking through a series of key technologies such as domestic waste incineration, food waste biogas producing, municipal sludge pyrolysis, electronic sludge smelting, waste mineral oil distillation, and whole process metabolism digital twin, this study expounds that the comprehensive resource and energy recovery efficiency has been greatly improved, and the comprehensive environmental impact level has been greatly reduced. Finally, the key directions of multi-source solid waste comprehensive utilization and pollution collaborative control are prospected from the aspects of precise management of solid waste, innovation of circular economy development mode, and construction of waste free society. Β© The Author(s) 2023.
publications-5005 Article 2023 Batarseh F.A.; Kulkarni A.; Sreng C.; Lin J.; Maksud S. ACWA: an AI-driven cyber-physical testbed for intelligent water systems Water Practice and Technology 10.2166/wpt.2023.197 This manuscript presents a novel state-of-the-art cyber-physical water testbed, namely the AI and Cyber for Water and Agriculture testbed (ACWA). ACWA is motivated by the aim to advance water resources’ management using AI and cybersecurity experimentation. The main objective of ACWA is to address pressing challenges in the water and agricultural domains by utilis-ing cutting-edge AI and data-driven technologies. These challenges include cyberbiosecurity, resources’ management, access to water, sustainability, and data-driven decision-making, among others. To address such issues, ACWA is built consisting of topologies, sensors, computational clusters, pumps, tanks, smart water devices, as well as databases and AI models that control the system. Moreover, we present ACWA simulator, which is a software-based water digital twin. The simulator is based on fluid and constituent transport principles that produce a theoretical time series of a water distribution system. It creates a benchmark for comparing the theoretical approach with real-life outcomes via the physical ACWA testbed. ACWA data are available to AI and water sector researchers and are hosted in an online public repository. In this paper, the system is introduced and compared with existing water testbeds; additionally, use cases are described along with novel outcomes, such as datasets, software, and AI models. © 2023 The Authors.
publications-5006 Article 2024 Tota R.; Facchini F.; Iavagnilio R.P.; Mossa G.; Sassanelli C. Digital twin supporting environmental performance evaluation according to ISO certification: an application case in the tire industry Production and Manufacturing Research 10.1080/21693277.2024.2351839 The link between digital evolution and environmental sustainability is reshaping how companies enhance their processes, contributing to address circular manufacturing (CM). The extant literature does not explain how to improve the tire production process to limit environmental negative impacts, which are its most critical phases, which Industry 4.0 technologies could be exploited and how they could intervene in the process to facilitate effective data management. This research proposes a framework indicating how digital technologies could support tire producers in reducing the ecological footprint of their operations. The proposed framework addresses ISO 14,046 and 14,067 International Organization for Standardization (ISO) certifications. Digital twin (DT) was chosen as the most suitable technology. The related framework was further detailed according to data-driven CM principles, providing the set of sensors to be embedded on the production process and defining the data and information to be gathered through them to address the requested ISO certifications. Β© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
publications-5007 Conference paper 2024 Gupta K.; Kar A.K.; Gupta M.P. Internet of Things and Sustainability: A Literature Review IFIP Advances in Information and Communication Technology 10.1007/978-3-031-50204-0_4 The purpose of this study is to review the literature of Internet of things research in the sustainability domain. We used keyword co-occurrence analysis to identify the newly emerging areas keeping ‘internet of things’ and ‘sustainability’ as central themes. The findings indicate energy management, smart cities, industry 4.0, artificial intelligence, smart water management, supply chain management, smart farming, and digital transformation as key emerging areas. Further, we found a strong connection between energy efficiency, IoT, and AI research. The study also highlights the usage of emerging technologies like blockchain, machine learning, digital twins, cyber-physical system, etc. contributing towards the sustainable development goals. © IFIP International Federation for Information Processing 2024.
publications-5008 Conference paper 2024 Liang T.; Liu Z.; Sun H.; Tan J. Multivariate Based Alkaline Electrolyzer Digital Twin Model Construction Springer Proceedings in Physics 10.1007/978-981-99-8631-6_27 Electrolytic water hydrogen production systems are highly coupled and operate under complex and dangerous conditions, making it difficult to carry out extreme experiments on physical objects. In this paper, the alkaline electrolyzer is studied and mathematical and three-dimensional models are developed for it. The System operation data shows that temperature, pressure and alkaline flow rate all have effects on the hydrogen concentration in oxygen and voltage. Among them, hydrogen concentration in oxygen is one of the important factors affecting the safety of the system, and changing both pressure and alkali flow rate respectively will cause significant changes in hydrogen concentration. Based on the system operation data, a multivariate nonlinear fitting of the empirical equation using Matlab was performed to establish the voltage model, Faraday efficiency model, hydrogen concentration in oxygen model and system pressure model of the alkaline electrolyzer. And the model simulation results were analyzed and verified theoretically, which were consistent with the actual engineering. The mathematical model of the alkaline electrolyzer is combined with the 3D model, and the digital twin model of the alkaline electrolyzer is controlled in real time by PLC. The mapping of the alkaline electrolyzer in the virtual space is realized, which provides an experimental platform for the subsequent study of wide power fluctuation. Β© 2024, The Author(s).
publications-5009 Conference paper 2023 Jiang K.; Tang R.; Chai X.; Liu S.; Liu Z.; Li L. Visual Analysis of High Dam Based on Digital Twin Technology Proceedings - 2023 7th International Symposium on Computer Science and Intelligent Control, ISCSIC 2023 10.1109/ISCSIC60498.2023.00083 To solve the problem that high dams have high data dimension, high collection density and it is difficult for traditional data analysis methods to obtain effective information from large amounts of data in the construction of water conservancy projects, this paper puts forward a visualization analysis of high dams based on digital twin technology, which realizes the construction of virtual high dams and real-time feedback of virtual high dams to real high dams through the modeling and data reuse of Physical high dams. Β© 2023 IEEE.
publications-5010 Article 2023 Liu D.; Sun C.; Chen J.; Liu L. Multisensory and BIM-Integrated Digital Twin to Improve Urban Excavation Safety Journal of Computing in Civil Engineering 10.1061/JCCEE5.CPENG-5354 Urban excavation is an indispensable process for many construction activities such as road paving, house building, and pipe rehabilitation. However, the everincreasing complexity of underground utilities (e.g., water mains, gas lines, and sewage pipes) in urban environments challenges the safety of urban excavation, posing tremendous risks of potential collision and damage accidents. By obtaining real-time excavation information and high-fidelity simulation to evaluate safety risks, digital twin (DT) has an unexplored potential to improve urban excavation safety (UES). This research aims to investigate how a DT for urban excavation can be developed and used to improve UES. First, a multisensory solution is proposed to equip the physical excavators with the capability to precisely estimate their three-dimensional (3D) poses based on the kinematic model and social spider algorithm (SSA). Second, a building information model (BIM) of buried utilities and a 3D model of the excavators are integrated to form a dynamic virtual model that mirrors the actual excavation process. Third, based on the physical-virtual coupling DT, a real-time safety control method is proposed to proactively monitor urban excavation, dynamically assess collision risk, and timely warn against unsafe behaviors. A system prototype was developed and applied in a case study in Shandong, China. Results show that the system can precisely twin the pose of the excavator, increasing the estimation accuracy of the translation by at least 4.0 cm. The system can display the dynamic spatial position of the excavator and the buried pipes in 3D and automatically guide the excavator to operate safely in real-time, thereby avoiding potential collision accidents. Β© 2023 American Society of Civil Engineers.