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Related Concept Videos

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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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...
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Manipulation and Analysis01:21

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Design Example: Alignment of a Road Line Using GIS01:17

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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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...
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Design Consideration01:22

Design Consideration

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Optimization of Multi-Objective Mobile Emergency Material Allocation for Sudden Disasters.

Jianxun Li1, Haoxin Fu1, Kin Keung Lai2

  • 1School of Economics and Management, Xi'an University of Technology, Xi'an, China.

Frontiers in Public Health
|August 1, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a mobile emergency system for disaster management, optimizing facility and material allocation. The developed model effectively balances emergency costs and time, validated by a real-world flood scenario.

Keywords:
emergency managementmobile emergency facilitymulti-objective programmingsudden disasterssupplies to allocate

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Area of Science:

  • Disaster Management
  • Operations Research
  • Emergency Logistics

Background:

  • Increasing frequency of sudden disasters necessitates improved emergency response systems.
  • Current emergency allocation strategies may not adequately address dynamic resource needs.
  • Optimizing mobile emergency facilities and material distribution is crucial for effective disaster relief.

Purpose of the Study:

  • To develop a multi-objective model for mobile emergency material allocation.
  • To minimize both emergency costs and response time in disaster scenarios.
  • To provide a framework for optimizing the deployment of mobile emergency resources.

Main Methods:

  • Formulation of a multi-objective mobile emergency material allocation model.
  • Transformation of the multi-objective problem for optimization.
  • Application of a hybrid leapfrog algorithm for material allocation.
  • Coding of emergency material transportation paths.

Main Results:

  • The model successfully optimizes mobile emergency material allocation based on cost-time trade-offs.
  • Validation using the "21.7" Henan Province flood disaster demonstrates model feasibility.
  • Analysis shows allocation can adapt to different stages of emergency response.

Conclusions:

  • The proposed mobile emergency system offers an effective solution for disaster management.
  • The model provides actionable insights for locating mobile emergency facilities and determining material quantities.
  • This approach enhances the efficiency and responsiveness of emergency logistics.