Developing an open-source flood forecasting system adapted to data-scarce regions: A digital twin coupled with hydrologic-hydrodynamic simulations DOI
Luis Miguel Castillo Rápalo, Marcus N. Gomes, Eduardo Mário Mendiondo

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 644, P. 131929 - 131929

Published: Sept. 8, 2024

Language: Английский

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

Water Whiplash in Mediterranean Regions of the World DOI Open Access

Citlalli Madrigal,

Rama Bedri,

Thomas C. Piechota

et al.

Water, Journal Year: 2024, Volume and Issue: 16(3), P. 450 - 450

Published: Jan. 30, 2024

The presence of weather and water whiplash in Mediterranean regions the world is analyzed using historical streamflow records from 1926 to 2023, depending on region. Streamflow United States (California), Italy, Australia, Chile, South Africa publicly available databases. Water whiplash—or rapid shift wet dry periods—are compared. Wet periods are defined based annual deviations record average, occurs when there an abrupt change that overcomes accommodated deficit or surplus. Of all stations, more years (56%) than (44%) these regions, along with similarities variances shifts extremes (i.e., whiplash). On 35% were as countries, highest levels US where 42–53% years. influence El Niño–Southern Oscillation (ENSO) influences Chile strongest during first quarter year. This study found smaller extreme larger less prevalent regions. has implications for management adaptation climate considered.

Language: Английский

Citations

2

Digital Twin Smart Water Conservancy: Status, Challenges, and Prospects DOI Open Access

Wengang Li,

Zifei Ma, Jing Li

et al.

Water, Journal Year: 2024, Volume and Issue: 16(14), P. 2038 - 2038

Published: July 18, 2024

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 idea method for design, operation management water conservancy projects, which is great significance realization transformation informatization to intelligent conservancy. In view this, this paper systematically discusses concept development history smart conservancy, compares its differences with traditional models, further proposes five-dimensional model. Based on model research progress summarized focusing six aspects, namely data perception, transmission, analysis processing, construction, interaction collaboration service application, challenges problems application Finally, trend direction technological breakthroughs are envisioned, aiming provide reference guidance field promote field.

Language: Английский

Citations

2

TwinEco: A Unified Framework for Dynamic Data-Driven Digital Twins in Ecology DOI Open Access
Taimur Khan, Koen de Koning, Dag Endresen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 24, 2024

Abstract The burgeoning interest in digital twin (DT) technology presents a transformative potential for ecological modelling, offering new ways to model the complex dynamics of ecosystems. This paper introduces TwinEco framework, designed mitigate fragmentation development and deployment DT applications ecology. Compared traditional modelling frameworks, emphasises modularity flexibility by introducing “layers” “components” DTs, accommodating diverse without necessitating all components. modular approach ensures adaptability scalability, promoting interoperability integration with broader initiatives like Destination Earth. Digital twins ecology offer significant advancements over approaches explicitly changing processes states time, integrating extensive data, enabling real-time feedback loops actuating events or policies “real-world”. framework’s capacity adjust environmental conditions enhances its predictive accuracy responsiveness. highlights necessity unified framework prevent divergent interpretations ensure across domains. Future recommendations include expanding case studies demonstrate applicability, assessing Dynamic Data-Driven Application Systems (DDDAS) paradigm within exploring interactions between components optimise performance. Emphasising model-data fusion fostering shared terminology community are crucial success. aims provide robust foundation twins, timely, data-driven decision-making address global challenges.

Language: Английский

Citations

2

Developing an open-source flood forecasting system adapted to data-scarce regions: A digital twin coupled with hydrologic-hydrodynamic simulations DOI
Luis Miguel Castillo Rápalo, Marcus N. Gomes, Eduardo Mário Mendiondo

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 644, P. 131929 - 131929

Published: Sept. 8, 2024

Language: Английский

Citations

1