Jove
Visualize
Contact Us

Related Concept Videos

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

46
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...
46
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

74
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...
74
Levels of Use of a GIS01:29

Levels of Use of a GIS

49
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...
49
Precipitation Gravimetry01:03

Precipitation Gravimetry

6.3K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
6.3K
Precipitation Processes01:12

Precipitation Processes

446
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
446
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
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...
27

You might also read

Related Articles

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

Sort by
Same author

River channel change can affect flood hazard and impact substantially.

Communications earth & environment·2026
Same author

Author Correction: Integrating social vulnerability into high-resolution global flood risk mapping.

Nature communications·2025
Same author

Mapping urban living standards and economic activity in developing countries with energy data.

PloS one·2023
Same author

A high-resolution daily global dataset of statistically downscaled CMIP6 models for climate impact analyses.

Scientific data·2023
Same author

Flood hazard potential reveals global floodplain settlement patterns.

Nature communications·2023
Same author

High-resolution rural poverty mapping in Pakistan with ensemble deep learning.

PloS one·2023
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 Experiment Video

Updated: Jun 28, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K

Integrating social vulnerability into high-resolution global flood risk mapping.

Sean Fox1, Felix Agyemang2, Laurence Hawker3

  • 1School of Geographical Sciences & Cabot Institute, University of Bristol, Bristol, UK. sean.fox@bristol.ac.uk.

Nature Communications
|April 11, 2024
PubMed
Summary

New global flood risk maps now include social vulnerability, crucial for disaster planning in low-income nations. This vulnerability-adjusted risk index (VARI Flood) highlights areas with high population density and social vulnerability, improving risk assessment.

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

8.0K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K

Related Experiment Videos

Last Updated: Jun 28, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K

Area of Science:

  • Environmental science
  • Disaster risk reduction
  • Geographic information systems (GIS)

Background:

  • High-resolution global flood risk maps are vital for disaster planning, especially in data-limited, lower-income countries.
  • Existing flood risk assessments often overlook spatial variations in social vulnerability, a critical factor influencing population outcomes.
  • Understanding the interplay between flood exposure and social factors is essential for effective risk management.

Purpose of the Study:

  • To develop a global vulnerability-adjusted risk index for flooding (VARI Flood) that integrates social vulnerability data.
  • To create high-resolution (90-meter) flood risk maps accounting for population density and poverty.
  • To identify global 'hotspots' of flood risk characterized by high population density and social vulnerability.

Main Methods:

  • Integration of annual average exceedance probability estimates from a high-resolution fluvial flood model.
  • Incorporation of gridded global population and poverty data.
  • Development of a novel vulnerability-adjusted risk index (VARI Flood) at 90-meter resolution.

Main Results:

  • A new global flood risk index (VARI Flood) has been created, incorporating social vulnerability at 90-meter resolution.
  • The index identifies geographical 'hotspots' where high population density intersects with high social vulnerability.
  • Results demonstrate significant spatial variation in flood risk when social vulnerability is considered.

Conclusions:

  • The VARI Flood index offers a more comprehensive understanding of flood risk, emphasizing human well-being.
  • This approach can complement traditional population and asset-centered risk assessments.
  • The findings are particularly relevant for disaster risk planning and response in vulnerable regions worldwide.