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-3671 article 2022 Møller, Jan Kloppenborg and Møller, Jan Kloppenborg and Goranović, Goran and Goranović, Goran and Brath, Per and Brath, Per and Madsen, Henrik and Madsen, Henrik A data-driven digital twin for water ultrafiltration Communications Engineer 10.1038/s44172-022-00023-6 Abstract Membrane-based separations are proven and useful industrial-scale technologies, suitable for automation. Digital twins are models of physical dynamical systems which continuously couple with data from a real world system to help understand and control performance. However, ultrafiltration and microfiltration membrane separation techniques lack a rigorous theoretical description due to the complex interactions and associated uncertainties. Here we report a digital-twin methodology called the Stochastic Greybox Modelling and Control (SGMC) that can account for random changes that occur during the separation processes and apply it to water ultrafiltration. In contrast to recent probabilistic approaches to digital twins, we use a physically intuitive formalism of stochastic differential equations to assess uncertainties and implement updates. We demonstrate the application of our digital twin model to control the filtration process and minimize the energy use under a fixed water volume in a membrane ultrafiltration of artificially simulated lakewater. The explicit modelling of uncertainties and the adaptable real-time control of stochastic physical states are particular strengths of SGMC, which makes it suited to real-world problems with inherent unknowns.
publications-3672 article 2022 Lee, Nahui and Jeong, Chanhyeok and Heo, SungKu and Kim, Sangyoon and Nam, Kijeon and Yoo, C. Water Digital Twin for High-tech Electronics Industrial Wastewater Treatment System (I): e-ASM Development and Digital Simulation Implementation Electronics industrial wastewater treatment facilities release organic wastewaters containing high concentrations of organic pollutants and more than 20 toxic non-biodegradable pollutants. One of the major challenges of the fourth industrial revolution era for the electronics industry is how to treat electronics industrial wastewater efficiently. Therefore, it is necessary to develop an electronics industrial wastewater modeling technique that can evaluate the removal efficiency of organic pollutants, such as chemical oxygen demand (COD), total nitrogen (TN), total phosphorous (TP), and tetramethylammonium hydroxide (TMAH), by digital twinning an electronics industrial organic wastewater treatment facility in a cyber physical system (CPS). In 64 심예림α†_x009e_μ_x009d_΄λ‚˜ν_x009d_¬α†_x009e_μ •μ°¬ν˜α†_x009e_허성구α†_x009e_김상μ_x009c_¤α†_x009e_λ‚¨κΈ°μ „α†_x009e_μ_x009c_ μ°½κ·_x009c_
publications-3673 article 2023 Park, DongSoon and You, Hojun A Digital Twin Dam and Watershed Management Platform Water 10.3390/w15112106 This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data and simulation models to support decision-making for flood response and water resource management. The platform includes a GIS-based geospatial digital twin of the entire Sumjin dam and river water system in Korea, with high-precision geospatial topography and facility information for dams and rivers (watershed area 4913 km2, river length 173 km, and 91 water infrastructures). The platform synchronizes real-time data such as rainfall, dam and river water levels, flow rate, and closed-circuit television (CCTV), and incorporates three hydraulic and hydrological simulation models for efficient dam operation considering the river conditions. AI technology is also used to predict the river water level and suggest optimal dam discharge scenarios. Additionally, the platform includes a geotechnical safety evaluation module for river levees, advanced drone monitoring for dams and rivers, and an AI CCTV video surveillance function. The digital-twin-based platform supports efficient decision-making for smart flood responses and contributes to reducing flooding damage and optimal operation through better smart water management.
publications-3674 article 2023 Lee, Jae‐Wook and Lee, Yong-Hwan and Hong, Chang-Hee Development of Geospatial Data Acquisition, Modeling, and Service Technology for Digital Twin Implementation of Underground Utility Tunnel Applied Sciences 10.3390/app13074343 In the maintenance domain of the construction industry, digital twins have been actively introduced based on the technologies of the Fourth Industrial Revolution with growing interest in three-dimensional spatial information facility management and disaster response service using digital twin technology. In particular, disasters or abnormal situations in an underground utility tunnel (UTU) can cause serious casualties and property damage since key elements of a city such as power, communications, water supply, and heating facilities are collectively accommodated in a certain underground space. This study established the methodology for implementing an underground utility tunnel through a digital twin. The novelty of this study is demonstrating a sequential procedure of implementing digital twin technology by configuring major layers such as data acquisition, modeling, and service. This methodology can serve as reference material or a training aid for implementing a digital twin of underground facilities or underground utility tunnels in the future; the proposed methodology will be verified when an actual digital twin service is provided.
publications-3675 article 2023 Wu, Xiaotao and Liu, Guihua and Wu, Zhiyong Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects Water 10.3390/w15112040 A digital twin basin serves as a virtual representation of a physical basin, enabling synchronous simulation, virtual–real interaction, and iterative optimization. The construction of a digital twin basin requires a basin database characterized by large-scale coverage, high-precision, high-resolution, and low-latency attributes. The advancements in remote sensing technology present a new technical means for acquiring essential variables of the basin. The purpose of this paper was to provide a comprehensive overview and discussion of the retrieval principle, data status, evaluation and inter-comparison, advantages and challenges, applications, and prospects of remote sensing technology in capturing seven essential variables, i.e., precipitation, surface temperature, evapotranspiration, water level, river discharge, soil moisture, and vegetation. It is indicated that remote sensing can be applied in some digital twin basin functions, such as drought monitoring, precipitation forecasting, and water resources management. However, more effort should be paid to improve the data accuracy, spatiotemporal resolution, and latency through data merging, data assimilation, bias correction, machine learning algorithms, and multi-sensor joint retrieval. This paper will assist in advancing the application of remote sensing technology in constructing a digital twin basin.
publications-3676 article 2022 Digital twin for pilot plant for water treatment Proceedings of the 10th International Workshop on Simulation for Energy, Sustainable Development & Environment, SESDE 10.46354/i3m.2022.sesde.011
publications-3677 article 2022 Cardno, Catherine A. and Cardno, Catherine A. Digital Twin in Development for Houston Water System Civil Engineering 10.1061/ciegag.0001607
publications-3678 article 2021 Zhabitskii, Mikhail and Zhabitskii, M. G. and Andryenko, Yuriy and Andryenko, Y. A. and Malyshev, Vladimir and Malyshev, V. N. and Chuykova, S. V. and Chuykova, S. V. and Zhosanov, A. A. and Zhosanov, A. A. Digital transformation model based on the digital twin concept for intensive aquaculture production using closed water circulation technology 10.1088/1755-1315/723/3/032064 Abstract The article discusses the complex digital transformation problem for the functioning aqua-biotechnological industrial company. The structure of the information model and digital twin for such objects is identified and described. The results of a comprehensive engineering and economic inspection of the state of the biotechnological, engineering, and economic system from the point of view of digital transformation are described. A conceptual scheme of the enterprise functioning based on the results of digital transformation is presented. The target effects of modernization and reconstruction of the existing biotechnological enterprise based on the end-to-end digital technologies of the fourth industrial revolution are formulated.
publications-3679 article 2023 Pervez, Zeeshan and Khan, Zaheer and Ghafoor, Abdul and Soomro, Kamran SIGNED: Smart cIty diGital twiN vErifiable Data Framework IEEE Access 10.1109/access.2023.3260621 Smart city digital twins can provide useful insights by making effective use of multi disciplinary urban data from diverse sources. Whilst these insights provide new information that helps cities in decision making, verifying the authenticity, integrity, traceability and data ownership across various functional units have become critical characteristics to ensure the data is from an authentic and trustworthy source. However, these characteristics are rarely considered in a digital twin ecosystem. In this research we introduce a novel framework, namely, ‘SIGNED: Smart cIty diGital twiN vErifiable Data framework’ that is designed on the basis of data ownership, selective disclosure and verifiability principles. Using Verifiable Credentials, SIGNED ensures digital twin data are verifiably authentic i.e., it covers provenance, transparency, and reliability through verifiable presentation. A proof of concept is designed and evaluated based on a smart water management use case to demonstrate the effectiveness of SIGNED in securing verifiable exchange of digital twin data across multiple functional units. The proof-of-concept demonstrates that SIGNED successfully allows the exchange of data in a trusted and verifiable manner at negilgible performance cost, thus enhancing security and alleviating privacy issues when sharing data between various functional units in a smart city.
publications-3680 article 2024 Li, Wengang and Ma, Zifei and Li, Jing and Li, Qinghua and Li, Yang and Yang, Juan Digital Twin Smart Water Conservancy: Status, Challenges, and Prospects Water 10.3390/w16142038 Digital twin technology, a new type of digital technology emerging in recent years, realizes real-time simulation, prediction and optimization by digitally modeling the physical world, providing a new idea and method for the design, operation and management of water conservancy projects, which is of great significance for the realization of the transformation of water conservancy informatization to intelligent water conservancy. In view of this, this paper systematically discusses the concept and development history of digital twin smart water conservancy, compares its differences with traditional water conservancy models, and further proposes the digital twin smart water conservancy five-dimensional model. Based on the five-dimensional model of digital twin water conservancy, the research progress of digital twin smart water conservancy is summarized by focusing on six aspects, namely digital twin water conservancy data perception, data transmission, data analysis and processing, digital twin water conservancy model construction, digital twin water conservancy interaction and collaboration and digital twin water conservancy service application, and the challenges and problems of digital twin technology in the application of smart water conservancy. Finally, the development trend of digital twin technology and the direction of technological breakthroughs are envisioned, aiming to provide reference and guidance for the research on digital twin technology in the field of smart water conservancy and to promote the further development of the field.