Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

148
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...
148
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

203
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...
203
Hazard Rate01:11

Hazard Rate

213
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...
213
Design Consideration01:22

Design Consideration

359
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.
The factor of safety is another key...
359
Factors Affecting Workability01:24

Factors Affecting Workability

155
The workability of concrete is a critical characteristic that influences the ease of mixing, handling, and finishing the concrete. It is affected by several factors including water content, aggregate properties, and admixtures like air entrainment. Water plays a fundamental role as it lubricates the concrete mix, facilitating easier movement and placement. However, the water requirement varies depending on the texture and shape of aggregates. Finer particles and angular, rough-textured...
155
Hazard Ratio01:12

Hazard Ratio

289
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...
289

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Landslide Susceptibility Assessment Using an AutoML Framework.

International journal of environmental research and public health·2021
See all related articles

Related Experiment Video

Updated: Oct 12, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K

Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment.

Patricia Arrogante-Funes1, Adrián G Bruzón1, Fátima Arrogante-Funes2

  • 1Department of Chemical and Environmental Technology, ESCET, Rey Juan Carlos University, C/Tulipán s/n, 28933 Móstoles, Madrid, Spain.

International Journal of Environmental Research and Public Health
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

This study presents a new landslide risk model integrating susceptibility and vulnerability. The approach uses free spatial data for adaptable, low-cost disaster prevention in developing countries.

Keywords:
ecological valueshazard assessmentlandslidelandslide risksusceptibilityvulnerability

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K
Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

10.9K

Related Experiment Videos

Last Updated: Oct 12, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K
Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

10.9K

Area of Science:

  • Geosciences
  • Environmental Science
  • Disaster Management

Background:

  • Landslides pose significant global threats to life, property, and ecosystems.
  • Effective landslide risk assessment requires integrating susceptibility and vulnerability mapping.
  • Developing nations need accessible tools for landslide prevention and management.

Purpose of the Study:

  • To develop and validate a heuristic landslide risk model using integrated susceptibility and vulnerability maps.
  • To assess landslide risk in the State of Guerrero, Mexico, utilizing free spatial data.
  • To create an adaptable and cost-effective risk assessment framework for global application.

Main Methods:

  • Automated Machine Learning (AutoML) for landslide susceptibility mapping.
  • Integration of ecological and socio-economic vulnerability assessments.
  • Utilizing remote sensing and official Mexican databases for spatial data input.

Main Results:

  • Significant spatial disparities identified between landslide susceptibility and vulnerability zones.
  • Ecological vulnerability is highest in mountainous regions, while socio-economic vulnerability concentrates near settlements and roads.
  • The final risk map effectively integrates susceptibility and vulnerability, offering a foundational tool for disaster mitigation.

Conclusions:

  • The developed heuristic risk model provides a valuable first step in addressing landslide disasters.
  • The methodology's reliance on free spatial data enhances its adaptability and applicability worldwide.
  • This approach empowers developing countries with accessible tools for proactive landslide risk management.