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

285
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...
285
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

467
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...
467
Hazard Rate01:11

Hazard Rate

401
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...
401
Levels of Use of a GIS01:29

Levels of Use of a GIS

354
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
354
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

11.9K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
11.9K
Hazard Ratio01:12

Hazard Ratio

560
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...
560

You might also read

Related Articles

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

Sort by
Same authorSame journal

Assessing school preparedness for disaster resilience: Integrating Gender, Disability, and Social Inclusion (GEDSI) in the safe school programme.

Jamba (Potchefstroom, South Africa)·2026
Same author

Preparedness through social capital in Bengawan Solo River Communities, Surakarta City.

Jamba (Potchefstroom, South Africa)·2025
Same author

Gender differences in students' disaster knowledge and needs: A case study from Klaten, Indonesia.

Jamba (Potchefstroom, South Africa)·2025
Same author

Evaluation of disaster safe education unit programme implementation in Mt. Merapi using the pressure state response approach.

Jamba (Potchefstroom, South Africa)·2024
Same author

Impact of Multifaceted Workplace Bullying on the Relationships between Technology Usage, Organisational Climate and Employee Physical and Emotional Health.

International journal of environmental research and public health·2021

Related Experiment Video

Updated: Jan 15, 2026

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

9.9K

Evaluating hazard, vulnerability, and capacity through local knowledge for volcano risk reduction.

Pipit Wijayanti1,2, Rita Noviani1,2, Sorja Koesuma2,3

  • 1Department of Geography Education, Faculty of Teacher Training and Education, Sebelas Maret University, Surakarta, Indonesia.

Jamba (Potchefstroom, South Africa)
|October 10, 2025
PubMed
Summary

Mount Merapi poses significant geological disaster risks in Indonesia. Participatory Geographic Information System (PGIS) mapping reveals high community hazard and vulnerability, necessitating integrated local spatial knowledge (LSK) for effective disaster risk reduction.

Keywords:
Merapicapacitydisaster risk reductionhazardlocal spatial knowledgeparticipatory geographic information systemvulnerability

More Related Videos

Modifying the Bank Erosion Hazard Index BEHI Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio
13:00

Modifying the Bank Erosion Hazard Index BEHI Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio

Published on: February 13, 2015

9.5K
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

2.5K

Related Experiment Videos

Last Updated: Jan 15, 2026

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
07:58

Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt

Published on: August 7, 2017

9.9K
Modifying the Bank Erosion Hazard Index BEHI Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio
13:00

Modifying the Bank Erosion Hazard Index BEHI Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio

Published on: February 13, 2015

9.5K
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

2.5K

Area of Science:

  • Earth Sciences
  • Geology
  • Disaster Risk Management

Background:

  • Indonesia's location on active plate boundaries results in high geological disaster risk.
  • Mount Merapi, an active volcano, frequently erupts, posing a substantial threat to surrounding communities.

Purpose of the Study:

  • To assess community hazard, vulnerability, and capacity on Mount Merapi's slopes using Participatory Geographic Information System (PGIS).
  • To integrate local spatial knowledge (LSK) with Geographic Information System (GIS) for enhanced disaster risk assessment and intervention.

Main Methods:

  • Employed a locale-based mapping approach integrating hazard, vulnerability, and capacity variables.
  • Utilized the Participatory Geographic Information System (PGIS) methodology.

Main Results:

  • 80% of households face high to very high hazard levels from volcanic ash and hot clouds.
  • Community vulnerability is varied, with 16% in the high category, while nearly half possess very low capacity.
  • Local Spatial Knowledge (LSK) is crucial for understanding natural signs, evacuation routes, and traditional mitigation.

Conclusions:

  • Integrating LSK with GIS technology improves disaster risk assessment accuracy and intervention strategies.
  • Digital technology enhances public risk awareness, but preservation of local values remains important.