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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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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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Hazard Rate01:11

Hazard Rate

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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...
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Manipulation and Analysis01:21

Manipulation and Analysis

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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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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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...
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Statistical Methods for Analyzing Epidemiological Data01:25

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Simulating Impacts of Ice Storms on Forest Ecosystems
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Natural disasters: a comprehensive study using EMDAT database 1995-2022.

D Tin1, L Cheng2, D Le3

  • 1Disaster Medicine Fellowship, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Critical Care, University of Melbourne, Australia.

Public Health
|December 13, 2023
PubMed
Summary
This summary is machine-generated.

Natural disasters are increasing globally. Analysis of 11,360 events (1995-2022) shows Asia had most disasters and casualties, with hydrological events most frequent and geophysical events causing most deaths.

Keywords:
EarthquakesFloodsMitigationNatural disastersResponse

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Area of Science:

  • Disaster risk science
  • Environmental science
  • Global health security

Background:

  • Escalating frequency, intensity, and geographical reach of natural disasters globally.
  • Drivers include climate change, population growth, and urbanization.
  • Growing concern worldwide regarding natural disaster impacts.

Purpose of the Study:

  • To analyze trends and impacts of natural disasters from 1995 to 2022.
  • To identify regional and subtype-specific patterns in disaster occurrence and consequences.
  • To inform risk analysis and mitigation strategies.

Main Methods:

  • Retrospective analysis of natural disaster data.
  • Utilized the Emergency Events Database (EM-DAT) from 1995 to 2022.
  • Categorized disasters by type (hydrological, geophysical, biological) and analyzed regional distribution and impacts.

Main Results:

  • 11,360 natural disasters recorded between 1995 and 2022 (mean 398/year).
  • Asia experienced the highest number of disasters (4390) and casualties (918,198).
  • Hydrological disasters were most common (4969), geophysical disasters caused most deaths (770,644), and biological disasters caused most injuries (2544, mainly in Africa).

Conclusions:

  • Understanding historical natural disaster impacts is crucial for regional risk assessment.
  • Subtype-specific analysis can tailor mitigation strategies.
  • Data-driven insights support proactive disaster risk management.