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

150
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...
150
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

205
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...
205
Typical Model Studies01:30

Typical Model Studies

482
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.
482
Modeling and Similitude01:12

Modeling and Similitude

376
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
376
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

108
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
108
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

375
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.
375

You might also read

Related Articles

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

Sort by
Same author

Spatio-Temporal Sensitivity of Healthcare Accessibility: Insights from a System Dynamics Model.

Computers, environment and urban systems·2026
Same author

Synthesis of Hierarchical ZSM-5 Zeolite Mesocrystals with Controllable Macropores toward Enhanced Catalytic Performance.

Inorganic chemistry·2026
Same author

Clinical application of targeted next-generation sequencing in detecting organ/space surgical site infection in patients following biliary-pancreatic surgery.

Frontiers in microbiology·2026
Same author

Spatially distributed carbon quantum dots in TiO<sub>2</sub> for photothermal-assisted hydrogen production from seawater.

Chemical communications (Cambridge, England)·2026
Same author

A 15-Day Grazing-15-Day Rest Regime Promotes Plant Diversity and Leaf-Trait Responses in an Alpine Shrub Meadow of the Qilian Mountains, Northeastern Qinghai-Tibet Plateau.

Plants (Basel, Switzerland)·2026
Same author

Boosted charge separation in CoWO<sub>4</sub>/SnIn<sub>4</sub>S<sub>8</sub> S-scheme heterojunctions toward high-performance photocatalytic carbon dioxide reduction and formaldehyde oxidation.

Journal of colloid and interface science·2026

Related Experiment Video

Updated: Oct 13, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K

Agent-based Modeling to Evaluate Human-Environment Interactions in Community Flood Risk Mitigation.

Yu Han1, Liang Mao2, Xuqi Chen3

  • 1Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, TX, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|November 13, 2021
PubMed
Summary

Agent-based modeling helps households mitigate flood risk. Risk-based insurance promotes community resilience more effectively than subsidized policies, though it may reduce uptake in lower-risk areas.

Keywords:
Adaptationagent-based modelflood risk mitigationprotection motivation theory

More Related Videos

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

13.5K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.9K

Related Experiment Videos

Last Updated: Oct 13, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K
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

13.5K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.9K

Area of Science:

  • Environmental Science
  • Computational Social Science
  • Risk Analysis

Background:

  • Household-level flood risk mitigation is crucial for community resilience.
  • Understanding human-environment interactions is key to predicting adaptation outcomes.
  • Agent-based modeling offers a framework for simulating complex socio-natural systems.

Purpose of the Study:

  • To develop and apply an agent-based modeling framework for evaluating household flood risk mitigation strategies.
  • To simulate natural hazard impacts and human adaptive behaviors.
  • To predict the effectiveness of different flood risk adaptation strategies.

Main Methods:

  • Utilized an agent-based modeling framework with households as autonomous, socially connected agents.
  • Employed a Beta-Bernoulli Bayesian learning model to assess changes in risk perception due to storm surges.
  • Measured agent risk appraisal behaviors based on willingness-to-pay for flood insurance.
  • Conducted case study simulations in Miami-Dade County, Florida, evaluating four adaptation scenarios.

Main Results:

  • Community flood damage decreased significantly as agents became more aware of flood risks.
  • Risk-based insurance policies proved more effective for community resilience than subsidized policies.
  • Risk-based insurance reduced the motivation to purchase flood insurance, particularly in lower-risk areas.
  • Sensitivity analysis confirmed the importance of integrated adaptation strategies.

Conclusions:

  • Agent-based modeling is a valuable tool for assessing household flood risk and adaptation outcomes.
  • Integrated adaptation strategies are essential for effective community flood risk management.
  • Policy design, such as risk-based versus subsidized insurance, significantly impacts community resilience and individual behavior.