Drone‐based digital twins for water quality monitoring: A systematic review DOI Creative Commons

Aishah Hamzah,

Faisal Aqlan, Sabur Baidya

et al.

Digital twins and applications., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract The rapid advancement of drone technology and digital twin systems has significantly transformed environmental monitoring, particularly in the field water quality assessment. This paper systematically reviews current state research on application drones, twins, their integration for monitoring management. It highlights key themes, insights, trends, commonly used methodologies, future directions from existing studies, aiming to provide a foundational reference further harness promising potential these technologies effective, scalable solutions resource management, addressing both immediate long‐term challenges. systematic review followed PRISMA guidelines, rigorously analysing hundreds relevant papers. Key findings emphasise effectiveness drones capturing real‐time, high‐resolution spatial temporal data, as well value twins predictive simulation‐based analysis. Most importantly, demonstrates integrating enhance sustainable management practices. However, it also identifies significant gap fully with comprehensive In response, outlines directions, including improvements data techniques, models, interdisciplinary collaboration.

Language: Английский

Survey on digital twins for natural environments: A communication network perspective DOI Creative Commons
Moufida Maimour, Arsalan Ahmed, Éric Rondeau

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 25, P. 101070 - 101070

Published: Jan. 17, 2024

In the last decade or so, digital twins have emerged as a disruptive technology opening doors for innovation and modernization. A twin is defined an accurate virtual model reflecting state of physical asset. With their futuristic applications, already revolutionized several industrial sectors including product life cycle management, smart cities, healthcare aerospace. More recently, researchers started creating natural environments. Virtual models are developed to understand, manage protect these ecosystems which huge potential in resisting global decline face environmental crisis. Therefore, this article surveys state-of-the-art research that available area environments from networking perspective. comprehensive background on topic presented along with systematic literature survey. Based survey, set open issues identified discussed enhancing future work field.

Language: Английский

Citations

11

Developing a digital twin for dam safety management DOI

S.W. Sun H. Ding,

Pan Jia-zheng, Yanli Wang

et al.

Computers and Geotechnics, Journal Year: 2025, Volume and Issue: 180, P. 107120 - 107120

Published: Jan. 31, 2025

Language: Английский

Citations

1

Digital twin model for analyzing deformation and seepage in high earth-rock dams DOI

Jichen Tian,

Ruili Yu, Jiankang Chen

et al.

Automation in Construction, Journal Year: 2025, Volume and Issue: 173, P. 106079 - 106079

Published: Feb. 22, 2025

Language: Английский

Citations

1

A framework for incorporating rainfall data into a flooding digital twin DOI Creative Commons
Amy C. Green, Elizabeth Lewis, Tong Xue

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132893 - 132893

Published: Feb. 1, 2025

Language: Английский

Citations

1

Extended IFC-based information exchange for construction management of roller-compacted concrete dam DOI
Shihang Zhang, Sherong Zhang, Chao Wang

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 163, P. 105427 - 105427

Published: May 2, 2024

Language: Английский

Citations

6

A digital twin-based energy-efficient wireless multimedia sensor network for waterbirds monitoring DOI Creative Commons

Aya Sakhri,

Arsalan Ahmed, Moufida Maimour

et al.

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 155, P. 146 - 163

Published: Feb. 13, 2024

Wetlands play a critical role in maintaining the global climate, regulating hydrological cycle, and protecting human health. However, they are rapidly disappearing due to activities. Waterbirds valuable bio-indicators of wetland health, but it is challenging monitor them effectively. Wireless Multimedia Sensor Networks (WMSNs) offer promising technology for monitoring wetlands. Nonetheless, these networks constrained terms energy, also encounter challenges associated with large-scale deployments under natural environmental conditions. These conditions introduce harsh circumstances that may not have been anticipated during pre-deployment testing phase. This paper proposes Digital Twin (DT) based energy-efficient WMSN system specifically tailored waterbirds The utilizes unique approach combines local audio identification image compression DT optimize network performance minimize energy consumption. To reduce unnecessary transmissions, employs real-time, low-complexity phase before triggering capture. A denoising step employed achieve highly accurate bird recognition despite surrounding noises. Each undergoes scheme prior transmission, further enhancing efficiency. enhance system's overall efficiency effectiveness, integrated create real-time replicas application. synergistic interaction between two DTs enables cooperative data-making decision ensures both QoS (Quality Service) QoE Experience) requirements met. Transmission rate control done using fuzzy logic decision-making technique. Real-time feedback provides rapid analysis current state WMSN, allowing dynamic adjustments. "what-if scenarios" feature implemented has effectively leveraged find most suitable settings controller. effectiveness enhancements achieved by integrating into our WMSN-based surveillance validated through comprehensive experiments scenarios correspond real-world wetland. Comparative analyses demonstrate undeniable benefits DT-integrated compared conventional setup. In particular, results superior efficiency, capabilities, ability handle multiple video sources.

Language: Английский

Citations

5

Integrating models of civil structures in digital twins: State-of-the-Art and challenges DOI Creative Commons
Judith Michael, Jörg Blankenbach, Jan Derksen

et al.

Journal of Infrastructure Intelligence and Resilience, Journal Year: 2024, Volume and Issue: 3(3), P. 100100 - 100100

Published: June 10, 2024

Software systems monitoring civil structures over their lifetime are exposed to the risk of aging much faster than themselves. This can be minimized if we use models describing structure, geometry, processes, interaction, and assessment as well data collected a structure. They considered unity together with These constitute digital twin such which through appropriate operative services remain in permanent thus co-evolve structure even long-lasting lifetime. Even though research on twins for has grown last few years, engineering heterogeneous sources is still challenging. Within this article, describe used within all phases whole life cycle. We identify from computer science, engineering, mechanical business management domains specifically relevant purpose, they seem cover aspects sustainable at best discuss them using dam an example. Moreover, challenges creating different scenarios improving sustainability structures, evaluating risks, twins, parallel software object evolution, changing technologies stacks. show how holistic view perspectives helps overcome raises new ones. The consideration these enables long-term support structureswhile simultaneously opening up paths needs digitalization structures.

Language: Английский

Citations

5

Water Dams: From Ancient to Present Times and into the Future DOI Open Access
Andreas N. Angelakιs, Alper Baba, Mohammad Valipour

et al.

Water, Journal Year: 2024, Volume and Issue: 16(13), P. 1889 - 1889

Published: July 1, 2024

Since ancient times, dams have been built to store water, control rivers, and irrigate agricultural land meet human needs. By the end of 19th century, hydroelectric power stations arose extended purposes dams. Today, can be seen as part renewable energy supply infrastructure. The word dam comes from French is defined in dictionaries using words like strange, dike, obstacle. In other words, a structure that stores water directs it desired location, with being front river valleys. Dams on rivers serve various such drinking irrigation, flood control, industrial generation, recreation, movement solids, fisheries. also catchment area capture rainwater arid semi-arid areas. concrete or natural materials earth rock. There are types dams: embankment (earth-fill dams, rock-fill faces) rigid (gravity rolled compacted arch buttress dams). A gravity straight wall stone masonry earthen material withstand full force pressure. pressure transfers vertical compressive forces horizontal shear foundations beneath dam. strength ultimately depends its weight foundations. Most times were constructed An dam, hand, has convex curved surface faces water. generated by transferred sides lines. horizontal, normal, resist at edges. When viewed section, an shape. This type due particular shape allows transfer stored rock article takes detailed look hydraulic engineering over millennia. Lessons should learned successful unsuccessful applications operations Water resource managers, policymakers, stakeholders use these lessons achieve sustainable development goals climate change crisis.

Language: Английский

Citations

5

A visualization system for dam safety monitoring with application of digital twin platform DOI
C. Y. Shao, Sen Zheng, Yanxin Xu

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 271, P. 126740 - 126740

Published: Jan. 31, 2025

Language: Английский

Citations

0

Enhancing Watershed Management Through Advanced Geospatial and Morphometric Approaches for Wainganga River Basin, Central India DOI
Jayesh Mukherjee, Anuva Chowdhury, Surajit Ghosh

et al.

Springer geography, Journal Year: 2025, Volume and Issue: unknown, P. 563 - 598

Published: Jan. 1, 2025

Language: Английский

Citations

0