Author(s): Mei Chao; Zhang Kehan; Liu Jiahong; Wang Jia; Song Tianxu; Li Yulong

Linked Author(s): Jiahong Liu, Wang Jia

Keywords: Digital twin; Numerical modeling; Three-dimensional simulation; Urban waterlogging

Abstract: Extreme rainstorms are increasingly common in urban areas, driven by factors such as climate change and other relevant influences. Thus, globally, urban governance faces the challenge of urban waterlogging, leading to substantial economic losses and casualties, a matter of widespread concern for society. Digital twin technology, a typical representative of information technology, plays a vital role in various industries. Furthermore, it is widely implemented in decision making for urban waterlogging prevention and control, particularly in emergency management and decision support. To analyze urban waterlogging, this study considers the Maling River watershed, a highly urbanized watershed in Suqian City, China, as a case study. Data on urban waterlogging, elevation, land use, and drainage systems were collected. A numerical model of urban waterlogging was constructed by coupling hydrology with one- and two-dimensional hydrodynamic modules. Using software platforms, such as City Engine and Blender, a three-dimensional (3D) simulation base was constructed that included buildings, roads, green spaces, and water surfaces. Urban waterlogging under extreme rainstorm conditions was simulated using a numerical model based on the Cesium platform. The numerical modeling results and urban 3D simulation base were combined to realize 3D visualization simulation and analyze urban waterlogging processes. The results indicate that the simulation method constructed in this study can achieve 3D deduction and visualization of historical waterlogging processes scientifically. Furthermore, the method can intuitively reflect changes in urban waterlogging occurrences and development and assist in urban waterlogging prevention and decision-making control. This method could potentially be applied to the digital twin simulations and intelligent management of urban waterlogging.

DOI: https://doi.org/10.64697/HIC2024_P407

Year: 2024