Related Experiment Video
Updated: Jun 26, 2025
09:49
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
Published on: November 18, 2015
12.2K
Method for analyzing urban waterlogging mechanisms based on a 1D-2D water environment dynamic bidirectional coupling
Guangxue Luan1, Jingming Hou1, Tian Wang1
1State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi'an University of Technology, Xi'an, Shannxi Province, China.
Journal of Environmental Management
|May 17, 2024
Summary
Urban waterlogging is a major global challenge. A new dynamic model reveals node overflow in drainage systems significantly causes urban waterlogging, impacting planning and disaster management.
Area of Science:
- Environmental science
- Urban hydrology
- Water resource management
Background:
- Urban waterlogging poses significant global challenges.
- Understanding its formation mechanisms is crucial for mitigation.
Purpose of the Study:
- To investigate the causes of urban waterlogging in Changzhi city, China.
- To analyze the formation process, focusing on drainage system design and surface runoff.
- To provide insights for optimizing urban drainage and planning.
Main Methods:
- A novel dynamic bidirectional coupling model integrating 1D-2D hydrodynamic and water quality simulations.
- Analysis of waterlogging formation, including node overflow, drainage capacity, and topological structure.
- Study of spatial and temporal variations in waterlogging events.
Main Results:
- Node overflow in the drainage system is the primary cause of waterlogging, contributing up to 71% of peak accumulation.
- Waterlogging peak lag time is influenced by rainfall intensity, drainage capacity, and pipe network topology.
- Upstream and downstream inflows significantly affect waterlogging timing, with upstream flow potentially causing delays.
Conclusions:
- Node overflow is a critical factor in urban waterlogging.
- Drainage system design and network topology are key determinants of waterlogging timing.
- Findings offer practical guidance for urban planning, drainage system optimization, and disaster risk management.
Related Concept Videos
01:30Typical Model Studies
356
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
356
01:21Design Example: Creating a Hydraulic Model of a Dam Spillway
159
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
159
01:12Modeling and Similitude
262
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
262
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
44
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
44
01:24Rapidly Varying Flow
60
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
60
01:27Dimensional Analysis
319
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
In fluid mechanics, dimensional...
319