Related Experiment Video
Updated: Apr 28, 2026
07:48
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
Published on: April 4, 2025
1.5K
Modeling for Effective Aviation Emergency Scheduling in Flood-Stricken Areas: A Material Demand Urgency Evaluation
Xinyao Guo1, Jiayi Li1, Jintao Lu2,3,4
1School of Civil Aviation, Zhengzhou University of Aeronautics, Zhengzhou, China.
Evaluation Review
|April 27, 2026
Summary
This study optimizes aviation emergency material scheduling by integrating CRITIC and cloud models to prioritize urgent demands. Considering urgency reduces costs and disaster losses, improving aviation rescue efficiency.
Area of Science:
- Operations Research
- Disaster Management
- Aviation Logistics
Background:
- Emergency material scheduling and transportation are critical during major disasters.
- Aviation offers speed and terrain advantages but faces logistical challenges in disaster zones.
- Improving aviation rescue center efficiency is vital for effective disaster response.
Purpose of the Study:
- To develop an optimized mathematical model for aviation emergency material dispatch.
- To evaluate the impact of material demand urgency on scheduling decisions.
- To enhance the efficiency of aviation emergency rescue operations and urban risk management.
Main Methods:
- Integrated CRITIC and cloud model theory to assess demand urgency.
- Developed a mathematical model using an optimized ant colony algorithm for dispatch.
- Formulated a multi-objective scheduling model with a penalty function, solved by an improved genetic algorithm.
- Empirical case study of rainstorm-induced floods in Zhengzhou, China (2021).
Main Results:
- Aviation deliveries prioritized based on material demand urgency.
- Optimized scheduling completed all tasks within required timeframes using four routes.
- Considering urgency led to increased total time but significantly reduced economic costs and disaster losses.
Conclusions:
- Urgency-driven scheduling enhances aviation emergency rescue efficiency.
- The proposed model provides a valuable decision-making tool for disaster response.
- Findings contribute to improved urban risk management capabilities during critical emergencies.
Keywords:
H84L93Q54R41aviation emergencyaviation material schedulingemergency material demand evaluationflood disaster rescueMore Related Videos
Related Concept Videos
01:29Applications of GIS: Disaster Management and Emergency Response
769
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
769
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
391
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...
391
01:12Modeling and Similitude
835
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...
835
01:21Design Example: Creating a Hydraulic Model of a Dam Spillway
977
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.
977
01:30Typical Model Studies
809
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.
809
01:24Rapidly Varying Flow
731
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...
731