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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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 squares (OLS)...
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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.
Typical Model Studies01:30

Typical Model Studies

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.

You might also read

Related Articles

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

Sort by
Same author

Treatment of ultra-high-strength compost leachate using an anaerobic biomass biofilm reactor.

Bioresource technology·2025
Same author

Assessing biogas valorization from municipal organic waste in India: Integrated environmental-economic analysis.

Bioresource technology·2025
Same author

Integrated resiliency and sustainability assessment of biogeochemical cover system to mitigate landfill gas emissions.

Waste management (New York, N.Y.)·2025
Same author

Investigation of alternative materials for BOF slag in landfill biogeochemical cover for carbon dioxide sequestration.

Chemosphere·2025
Same author

Sustainable bioremediation and reuse of heavy metal-contaminated dredged sediments using Bacillus subtilis.

Biodegradation·2025
Same author

Investigation of biogeochemical landfill covers incorporating different biochars and alkaline industrial byproducts for landfill gas mitigation: A column experiment study.

The Science of the total environment·2025

Related Experiment Video

Updated: Jun 4, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

Parametric study of MSW landfill settlement model.

G L Sivakumar Babu1, Krishna R Reddy, Sandeep K Chouksey

  • 1Department of Civil Engineering, Indian Institute of Science, Bangalore 560 012, India. gls@civil.iisc.ernet.in

Waste Management (New York, N.Y.)
|March 1, 2011
PubMed
Summary

Accurate prediction of municipal solid waste (MSW) landfill settlement requires careful selection of model parameters. This study investigates how variations in parameters like compression index and biodegradation affect settlement predictions over time.

More Related Videos

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

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
10:05

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

Related Experiment Videos

Last Updated: Jun 4, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

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

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
10:05

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

Area of Science:

  • Geotechnical Engineering
  • Environmental Engineering
  • Materials Science

Background:

  • Municipal solid waste (MSW) landfills experience significant settlement over time due to primary compression, mechanical creep, and biodegradation.
  • Accurate prediction of this settlement is crucial for landfill design, stability, and environmental management.
  • Existing models may not fully capture the complex time-dependent behavior of MSW.

Purpose of the Study:

  • To develop and validate a constitutive model for predicting MSW settlement, incorporating primary compression, mechanical creep, and biodegradation.
  • To conduct a parametric study investigating the influence of key MSW parameters on predicted time-settlement behavior.
  • To assess the impact of MSW lift thickness on settlement predictions.

Main Methods:

  • Development and validation of a new constitutive model for MSW.
  • Parametric analysis using the developed model to study the effects of compression index, coefficient of earth pressure at-rest, overconsolidation ratio, and biodegradation parameters.
  • Investigation of MSW lift thickness influence on settlement.
  • Comparison of predicted settlement with existing models.

Main Results:

  • The developed model accurately predicts stress-strain response and yield surfaces for primary compression, mechanical creep, and biodegradation.
  • Significant variations in time-settlement response were observed based on selected input parameters, highlighting the sensitivity of predictions.
  • MSW lift thickness was found to influence predicted settlement.
  • The model's predictions showed general agreement with two other reported models.

Conclusions:

  • Model parameter values must be carefully selected for accurate landfill settlement predictions.
  • The developed constitutive model provides a robust tool for analyzing MSW time-settlement behavior.
  • Understanding parameter sensitivity is key to reliable geotechnical and environmental assessments of landfills.