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

241
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...
241
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

385
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...
385
Typical Model Studies01:30

Typical Model Studies

569
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
569
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

599
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
599
Rapidly Varying Flow01:24

Rapidly Varying Flow

346
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
346
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

302
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
302

You might also read

Related Articles

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

Sort by
Same author

Erratum: Workshop report-Vulnerability in multi-hazard risks: Addressing its complexity and dynamics.

iScience·2026
Same author

Workshop report-Vulnerability in multi-hazard risks: Addressing its complexity and dynamics.

iScience·2026
Same author

Mangrove restoration and coastal flood adaptation: A global perspective on the potential for hybrid coastal defenses.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Multiple criteria-based assessment of Nature-based Solutions for flood management: A systematic review.

The Science of the total environment·2025
Same author

The role of artificial intelligence for early warning systems: Status, applicability, guardrails, and ways forward.

iScience·2025
Same author

Comparing hierarchical and inductive methods reveals fundamental differences in social vulnerability rankings.

Scientific reports·2025

Related Experiment Video

Updated: Dec 26, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K

A framework for comparing permanent and forecast-based flood risk-reduction strategies.

Konstantinos Bischiniotis1, Hans de Moel1, Marc van den Homberg2

  • 1Institute for Environmental Studies, Vrije Universiteit (VU), Amsterdam, the Netherlands.

The Science of the Total Environment
|March 9, 2020
PubMed
Summary

Forecast-based flood measures offer a cost-effective alternative to permanent infrastructure, especially for low-probability events. Integrating temporary and permanent strategies optimizes flood risk management.

Keywords:
And early actionEarly warningFlood preventionFlood risk managementForecast qualityForecast-based financing

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K
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

9.4K

Related Experiment Videos

Last Updated: Dec 26, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K
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

9.4K

Area of Science:

  • Environmental Science
  • Disaster Management
  • Hydrology

Background:

  • Flood risk management traditionally relies on permanent infrastructure and emergency measures.
  • Advances in flood forecasting enable a greater role for forecast-based interventions.

Purpose of the Study:

  • To develop and apply a methodology for comparing permanent and forecast-based flood prevention measures.
  • To guide operational decision-makers in selecting optimal flood risk strategies.

Main Methods:

  • A methodology was developed to compare permanent and forecast-based flood prevention measures.
  • Hypothetical decision scenarios were analyzed using flood risk indicators and discharge data for Chikwawa, Malawi (1997-2018).

Main Results:

  • The selection between permanent and temporary measures depends on measure costs, flood risk, and forecast accuracy.
  • Temporary measures are more cost-effective for low-probability flooding.
  • Combined permanent and temporary measures are most cost-effective when forecasts skillfully predict low-frequency events.
  • Addressing frequent low-impact floods can be more cost-effective than managing rare high-impact events.

Conclusions:

  • Forecast-based measures can serve as a viable alternative to some permanent flood defenses, not just for residual risk.
  • Optimal flood risk strategies should incorporate forecast-based measures alongside traditional approaches.