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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

108
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...
108
Hazard Rate01:11

Hazard Rate

135
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
135
Hazard Ratio01:12

Hazard Ratio

157
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
157
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

70
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...
70
Manipulation and Analysis01:21

Manipulation and Analysis

43
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...
43
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

49
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
49

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相关实验视频

Updated: Jul 18, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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编制全球多重危险事件集的新方法

Judith N Claassen1, Philip J Ward2,3, James Daniell4,5

  • 1Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. j.n.claassen@vu.nl.

Scientific reports
|August 23, 2023
PubMed
概括
此摘要是机器生成的。

一种新的开放访问方法,MYRIAD-Hazard事件集算法 (MYRIAD-HESA),可以创建多危险事件集. 该算法分析了危险频率和热点,并结合了连续事件的时间延迟.

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科学领域:

  • 灾害风险科学 科学 灾害风险科学
  • 地质科学 地质科学
  • 环境科学 环境科学

背景情况:

  • 多重危害研究的规模和范围有限.
  • 以前的研究通常集中在局部规模或特定的危险对,如干旱和热浪.
  • 需要一个全面的方法来分析不同的,同时发生的危险.

研究的目的:

  • 介绍MYRIAD-Hazard事件集算法 (MYRIAD-HESA),用于编译基于历史的多危险事件集.
  • 开发一个2004-2017年多重危险事件的全球数据库,包括11种不同的危险.
  • 结合时间维度 (时间延迟) 来识别连续影响的危险事件.

主要方法:

  • 开发了MYRIAD-Hazard事件集算法 (MYRIAD-HESA),这是一个开放的方法.
  • 编制了一个全球多危险事件数据库,包括气象,地质,水文和气候危险.
  • 集成了一个时间滞后分析,以评估紧随其后发生的危险的影响,以北美为案例研究.

主要成果:

  • 创建了一个全球多种危险事件集数据库 (2004-2017年),包含11种危险类型.
  • 提供了对多重危险事件频率和空间分布 (热点) 的新科学见解.
  • 证明了时间滞后分析的有用性,用于识别具有影响力的连续危险.

结论:

  • MYRIAD-HESA提供了一个灵活的,开放式访问工具,用于多种危险和多种风险评估.
  • 开发的全球数据库和方法提高了对复杂灾害场景的理解.
  • 开源性质有利于与更高分辨率的数据进行集成,以进行有针对性的风险分析.