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 â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-5011 Review 2023 Cacciuttolo C.; GuzmΓ΅n V.; CatriΓ±ir P.; Atencio E.; Komarizadehasl S.; Lozano-Galant J.A. Low-Cost Sensors Technologies for Monitoring Sustainability and Safety Issues in Mining Activities: Advances, Gaps, and Future Directions in the Digitalization for Smart Mining Sensors 10.3390/s23156846 Nowadays, monitoring aspects related to sustainability and safety in mining activities worldwide are a priority, to mitigate socio-environmental impacts, promote efficient use of water, reduce carbon footprint, use renewable energies, reduce mine waste, and minimize the risks of accidents and fatalities. In this context, the implementation of sensor technologies is an attractive alternative for the mining industry in the current digitalization context. To have a digital mine, sensors are essential and form the basis of Industry 4.0, and to allow a more accelerated, reliable, and massive digital transformation, low-cost sensor technology solutions may help to achieve these goals. This article focuses on studying the state of the art of implementing low-cost sensor technologies to monitor sustainability and safety aspects in mining activities, through the review of scientific literature. The methodology applied in this article was carried out by means of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and generating science mapping. For this, a methodological procedure of three steps was implemented: (i) Bibliometric analysis as a quantitative method, (ii) Systematic review of literature as a qualitative method, and (iii) Mixed review as a method to integrate the findings found in (i) and (ii). Finally, according to the results obtained, the main advances, gaps, and future directions in the implementation of low-cost sensor technologies for use in smart mining are exposed. Digital transformation aspects for data measurement with low-cost sensors by real-time monitoring, use of wireless network systems, artificial intelligence, machine learning, digital twins, and the Internet of Things, among other technologies of the Industry 4.0 era are discussed. Β© 2023 by the authors.
publications-5012 Article 2023 Arruda R.J.; Cally P.A.; Wylie A.; Shah N.; Joel I.; Leff Z.A.; Clark A.; Fountain G.; Neves L.; Kratz J.; Thorat A.A.; Marziano I.; Rose P.R.; Girard K.P.; Capellades G. Automated and Material-Sparing Workflow for the Measurement of Crystal Nucleation and Growth Kinetics Crystal Growth and Design 10.1021/acs.cgd.3c00252 The development of digital twins for model-based crystallization process development is often limited by the associated material-intensive and time-intensive experimental screenings. Methods for measuring primary nucleation rates are well established and common practices for academic studies; however, methods for the measurement of secondary nucleation and crystal growth rates are often inconsistent due to differing strategies in the selection of supersaturation models, particle size measurement techniques, and investigated scales. We hereby provide a workflow of automated methods for the experimental screening, data analysis, and parameter estimation for secondary nucleation and crystal growth kinetics in solution crystallization. The methods have been integrated with common experimental protocols in the determination of induction times for primary nucleation and with the use of commercially available tools that can be found in crystallization laboratories across academia and industry. These tools include a Technobis Crystalline as well as process simulation software, currently tailored to gPROMS FormulatedProducts. The methods have been demonstrated for two well-known model systems: antisolvent crystallization of acetaminophen from ethanol-water mixtures and cooling crystallization of a metastable polymorph of l-glutamic acid from water. The presented workflow will serve as a basis to standardize the analysis of crystallization kinetics for new systems, generating kinetic trends using similar methods that would aid in early process development as well as in academic studies. Β© 2023 The Authors. Published by American Chemical Society.
publications-5013 Article 2023 MilaΕ΅inoviΔ‡ M.; IvetiΔ‡ D.; StojkoviΔ‡ M.; SaviΔ‡ D. Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic Water Resources Management 10.1007/s11269-022-03420-w Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the design envelope (adverse operating conditions). Since there is no easy way to redesign or upgrade the existing DRSs to mitigate against all the potential failure situations, Digital Twins (DT) of DRSs are required to assess system’s performance under various what-if scenarios. The current state of practice in failure modelling is that failures (system’s not performing at the expected level or not at all) are randomly created and implemented in simulation models. That approach helps in identifying the riskiest parts (subsystems) of the DRS (risk-based approach), but does not consider hazards leading to failures, their occurrence probabilities or subsystem failure exposure. To overcome these drawbacks, this paper presents a more realistic failure scenario generator based on a causal approach. Here, the novel failure simulation approach utilizes fuzzy logic reasoning to create DRS failures based on hazard severity and subsystems’ reliability. Combined with the system dynamics (SD) model this general failure simulation tool is designed to be used with any DRS. The potential of the proposed method is demonstrated using the Pirot DRS case study in Serbia over a 10-year simulation period. Results show that even occasional hazards (as for more than 97% of the simulation there were no hazards), combined with outdated infrastructure can reduce DRS performance by 50%, which can help in identifying possible β€_x009c_hiddenβ€_x009d_ failure risks and support system maintenance prioritization. Graphical Abstract: [Figure not available: see fulltext.]. Β© 2023, The Author(s), under exclusive licence to Springer Nature B.V.
publications-5014 Conference paper 2023 Tanne Y.A.; Zultaqawa Z.; Aulia M.D.; Falderika; Farhani S.; Rivana D. Integrated System for Urban Road Asset Management: Conceptual Framework ICSPIS 2023 - Proceedings of the 9th International Conference on Signal Processing and Intelligent Systems 10.1109/ICSPIS59665.2023.10402657 Road infrastructure such as pavement, drainage, lighting, etc., which part of public assets, are important in ensuring community services through its availability. However, asset management of urban roads in Indonesia faces problems, especially in maintenance issues, such as road pavement defects, poor drainage, and traffic lights failure. The use of technology allows governments to provide better services to citizens, improve travel efficiency, and improve security. For this reason, this research develops a conceptual framework of technology implementation to improve asset management for urban roads in Indonesia. Technology 4.0 is proposed in the management of road assets including the use of ultrasonic sensors, voltage sensors, current sensors, water speed sensors, and actuators. Data collected by IoT sensors and devices is processed using artificial intelligence and displayed in BIM with VR or AR visualization. Under further development, the Digital Twin model was developed for advanced asset management analysis and decision-making. Data and analysis results are stored in the cloud for stakeholder access and collaboration, while actuators and robots can be used to take corrective actions based on analysis results. It is recommended that further research could develop a more comprehensive conceptual framework in urban road asset management, with testing, verification, and technology implementation that is expected to increase the effectiveness of management by the government. Thus, the application of technology in urban road asset management can become more efficient and improve community services. Β© 2023 IEEE.
publications-5015 Article 2023 Zeng G.; Wang J.; Zhang L.; Xie X.; Wang X.; Chen G. Multi-Domain Modeling and Analysis of Marine Steam Power System Based on Digital Twin Journal of Marine Science and Engineering 10.3390/jmse11020429 The marine steam power system includes a large amount of thermal equipment; meanwhile, the marine environment is harsh and the working conditions change frequently. Operation management involves many disciplines, such as heat, machinery, control, electricity, etc. It is a complex multi-discipline physical system with typical nonlinear, multi-parameter, strong coupling characteristics. In order to realize the health management of a marine steam power system, based on digital twin technology combined with the Modelica language, modular modeling, etc., this paper conducts in-depth research on the multi-domain modeling of the marine steam power system, characteristic analysis of variable working conditions, fault simulation, etc. The analysis results show that the dynamic response trend of the model is consistent with the actual operation, the error of the main steam flow at 1800 s is the largest and is −4.9%, and the error of the main steam flow, steam turbine output power, cooling water outlet temperature and other key parameters is within ±5%. Virtual reality mapping between the digital model and the physical equipment is realized, which lays a foundation for mastering the dynamic characteristics of the marine steam power system. © 2023 by the authors.
publications-5016 Book chapter 2023 Pillai S.V.; Purandare P.; Jain R. Digital twin-enabled solutions for smart city applications Handbook of Research on Network-Enabled IoT Applications for Smart City Services 10.4018/979-8-3693-0744-1.ch002 The current advent of new technological advancements like the internet of things, artificial intelligence, and big data have not only ventured in applications management like regular transactional systems but also large applications like managing cities. The main objective of a "smart city" is the improvement in the living conditions of the people of all strata in the city. The city ideally should provide technological, innovative, and sustainable solutions by utilizing the resources. The smart city concept is providing a higher quality of life (QoL) for all its citizens. The areas which are mainly covered in the purview of smart city are governance, efficient mobility and public transport facility, healthcare facility, affordable housing for all citizens, digitization, and robust IT connectivity; along with focus on good sanitization, sufficient water supply, solid waste management, and electricity supply. In this chapter, the authors investigate the possibility and feasibility of the concept of digital twin in the applications of smart city. Copyright Β© 2023 by IGI Global.
publications-5017 Article 2023 Ubina N.A.; Lan H.-Y.; Cheng S.-C.; Chang C.-C.; Lin S.-S.; Zhang K.-X.; Lu H.-Y.; Cheng C.-Y.; Hsieh Y.-Z. Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT) Smart Agricultural Technology 10.1016/j.atech.2023.100285 This paper focuses on designing a Digital Twin infrastructure that supports an agile-based Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in aquaculture. Our infrastructure includes the Internet of Things, cloud technology, and Artificial Intelligence (AI) as its building blocks. Our physical entity is equipped with smart devices such as sensors and actuators embedded in smart machines (fish feeding and sorting machines) that collect and transmits big data to the cloud using wireless communication networks for real-time and remote monitoring. We have four major digital twin services: fish feeding to automate the feeding process, metric estimation (fish count, size, and weight), environmental monitoring (water condition, net hole, and green algae), and health monitoring (vitality, mortality, and diseases). Each digital twin service is equipped with multiple AI services (or the digital twin objects) capable of performing complex and other functions such as optimizations, predictions, and analyses for intelligent decision-making to optimize farm profits and production. We integrated a prototype that represents the virtual entity accessible using the web and mobile devices where users can perform fish farm monitoring using the various digital twin services and their related AI services. Β© 2023 The Author(s)
publications-5018 Article 2023 Risco-Martín J.L.; Esteban S.; Chacón J.; Carazo-Barbero G.; Besada-Portas E.; López-Orozco J.A. Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms Simulation 10.1177/00375497231184246 Harmful algal and cyanobacterial blooms (HABs), occurring in inland and maritime waters, pose threats to natural environments by producing toxins that affect human and animal health. In the past, HABs have been assessed mainly by the manual collection and subsequent analysis of water samples and occasionally by automatic instruments that acquire information from fixed locations. These procedures do not provide data with the desirable spatial and temporal resolution to anticipate the formation of HABs. Hence, new tools and technologies are needed to efficiently detect, characterize and respond to HABs that threaten water quality. It is essential nowadays when the world’s water supply is under tremendous pressure because of climate change, overexploitation, and pollution. This paper introduces Discrete Event System Specification-BLOOM, a novel framework for real-time monitoring and management of HABs. Its purpose is to support high-performance hazard detection with model-based system engineering and cyber-physical systems infrastructure for dynamic environments. © The Author(s) 2023.
publications-5019 Book chapter 2023 Soy H.; Dilay Y. Fog-connected digital twin implementation for autonomous greenhouse management Digital Twin Driven Intelligent Systems and Emerging Metaverse 10.1007/978-981-99-0252-1_5 Nowadays, ongoing digital transformation across different industries entirely changes the way of operations in light of modern technologies. In the context of Industry 4.0, one of the main enablers of digitization is the digital twin technology. A digital twin is an extremely useful tool in helping to monitor the current condition of various types of processes, determine the appropriate control strategies, predict future behavior, and optimize resource utilization. Besides the industrial manufacturing systems, the digital twins offer enormous potential for smart farming systems by enabling the combination of computing and networking infrastructures with data-driven decision-making. In this study, we present a novel digital twin implementation that is used for smart greenhouse management. In our implementation, we have created a wireless sensor/actuator network (WSAN) and digital twin software to remotely monitor and automatically control the microclimate and irrigation operations as well as to make predictions about possible plant diseases. Unlike the traditional cloud server-based approach, we have adopted the fog computing model that implies deploying the developed digital twin software on the local server at the farmhouse near the greenhouse. The proposed fog-connected digital twin application was implemented and tested in the pilot greenhouse of the Karamanoglu Mehmetbey University. The experimental study shows the effectiveness of the proposed digital twin implementation in terms of yield increase, crop quality, water saving, and plant disease protection. Β© The Author(s).
publications-5020 Article 2023 Lu S.; Fang C.; Xiao X. Virtual Scene Construction of Wetlands: A Case Study of Poyang Lake, China ISPRS International Journal of Geo-Information 10.3390/ijgi12020049 Due to the complexity of wetland ecosystems, wetlands have a wide area of alternating land and water zones and complex vegetation composition, making it challenging to achieve dynamic displays of virtual wetland scenes using three-dimensional modeling. This study proposes a workflow of game engine-based virtual wetland scene construction for the rapid modeling of virtual wetland scenes. The virtual wetland scene construction work utilized Poyang Lake as the primary research area. It integrated unmanned aerial vehicle data collection technology and geographic information technology with 3D (three-dimensional) modeling of wetland elements and scene program modeling of the game engine to complete the construction and dynamic development of virtual wetland scenes. In addition, it used various virtual reality technologies to display the virtual wetland scene. The virtual scene of Poyang Lake combined with actual data was more realistic and had higher simulation. In reality, the digital wetland scene of Poyang Lake realizes multiple forms of virtual experience and provides users with a profoundly immersive virtual experience. This comprehensive virtual scene workflow in the study can serve as a technical resource for building 3D scenes. It can also provide a technical reference for the digital twin watershed project of Poyang Lake, which has practical application value. Β© 2023 by the authors.