相关实验视频
Updated: May 21, 2025

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
7.9K
防范未来城市的负面城市流动性和即将到来的自然灾害对公共卫生的影响:一个系统动态建模研究
Leandro Garcia1, Mehdi Hafezi2, Larissa Lima3
1Centre for Public Health, Queen's University Belfast, Belfast, UK; Physical Activity Epidemiology Group, University of São Paulo, São Paulo, Brazil.
The Lancet. Planetary health
|March 22, 2025
概括
将城市交通转变为积极旅行,提高了城市对极端天气事件和传染病爆发的抵御力. 促进更健康的移动模式可以显著减少因洪水和疾病造成的潜在死亡.
科学领域:
- 城市规划和公共卫生
- 环境科学和气候变化适应
- 运输工程和系统分析系统分析.
背景情况:
- 城市面临传染病爆发 (IDO) 和极端天气事件 (EWE) 的不断升级的风险.
- 城市人口特别容易受到这些自然灾害对流动性和公共卫生的影响.
- 优化交通系统的设计,以提高城市对IDO和EWE的抵御力,仍未得到充分的研究.
研究的目的:
- 调查城市交通系统和流动性模式如何影响城市对未来大规模IDO和EWE的抵御力.
- 评估不同流动场景在减轻健康和流动影响方面的有效性.
- 为设计更有弹性的城市交通基础设施提供证据.
主要方法:
- 使用系统动态建模来模拟各种城市移动场景的影响.
- 测试了三种不同的场景,涉及到转向活动旅行的模式转变.
- 在贝尔法斯特,贝洛霍里森特和德里的四个可能的未来IDO和EWE (洪水) 冲击中评估了影响.
主要成果:
- 所有测试的流动性场景都显示了对洪水的敏感性降低,可能预防了50%的死亡.
- 积极旅行的更大转变与对洪水的抵御能力增加有关.
- 只有最雄心勃勃的情景 (愿景3) 显示了对IDOs的脆弱性减少,预防了619%的死亡.
结论:
- 精心设计,有前性的城市交通系统对于提高城市弹性至关重要.
- 促进积极旅行和减少私人车辆使用可以显著减轻公共卫生和气候相关威胁的影响.
- 战略城市流动性规划对于未来城市防范自然灾害至关重要.
相关概念视频
Applications of GIS: Disaster Management and Emergency Response
30
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...
30
Steps in Outbreak Investigation
101
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
101
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
34
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...
34
Manipulation and Analysis
17
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...
17
Design Example: Creating a Hydraulic Model of a Dam Spillway
110
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.
110
Strategies for Assessing and Addressing Confounding
77
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
77

