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

Typical Model Studies01:30

Typical Model Studies

449
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.
449
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

107
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
107
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.2K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.2K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

89
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...
89
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

347
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.
347
Gradually Varying Flow01:29

Gradually Varying Flow

135
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
135

You might also read

Related Articles

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

Sort by
Same author

Nitrogen removal in a shallow maturation pond with sludge accumulated during 10 years of operation in Brazil.

Water science and technology : a journal of the International Association on Water Pollution Research·2017
Same author

Simple, cost-effective technique for portable digital eletrocorticography.

Arquivos de neuro-psiquiatria·2000
Same author

Caroticotympanic artery: anatomically a normal branch or a variation of the internal carotid artery?

Cells, tissues, organs·2000
Same author

[Tuberous sclerosis: case report with histopathological and ultrastructural study].

Arquivos de neuro-psiquiatria·1998
Same author

[Traumatic occlusion of the middle cerebral artery: report of a case].

Arquivos de neuro-psiquiatria·1984

Related Experiment Video

Updated: Sep 24, 2025

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

2.2K

Entropy-based Model for Gully Erosion - A combination of probabilistic and deterministic components.

P H L Alencar1, A A F Simplício2, J C de Araújo3

  • 1Technical University Berlin, Institut of Ecology, Ernst-Reuter-Platz 1, 10587 Berlin, Germany; Federal University of Ceará, Departament of Agricultural Engineering, Campus do Pici Fortaleza, Brazil.

The Science of the Total Environment
|May 4, 2022
PubMed
Summary

A new gully erosion model, based on net shear stress, accurately predicts erosion rates and sediment yield. This tool aids planners in assessing gully impacts on land and water resources.

Keywords:
Entropy theoryLinear erosionMinimum cross entropyOpen channel

More Related Videos

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

546
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

10.3K

Related Experiment Videos

Last Updated: Sep 24, 2025

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

2.2K
Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

546
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

10.3K

Area of Science:

  • Environmental Science
  • Geosciences
  • Hydrology

Background:

  • Gully erosion poses significant threats to ecosystems, causing land degradation and impacting water resources.
  • Understanding gully evolution and developing accurate models remain challenging due to scarce knowledge.
  • Gullies are primary sediment sources with rapid development, exacerbating environmental damage.

Purpose of the Study:

  • To introduce a novel gully erosion model based on net shear stress principles.
  • To develop and validate a new equation for calculating hydraulic shear stress using the principle of minimum cross-entropy.
  • To assess the model's performance in predicting long-term erosion rates and sediment yield in real-world gully impacted areas.

Main Methods:

  • A new gully erosion model was developed using the net shear stress concept (hydraulic shear stress minus critical shear stress).
  • Hydraulic shear stress was calculated using a novel equation derived from the principle of minimum cross-entropy, validated with laboratory data (Nash-Sutcliffe Efficiency = 0.95).
  • The model was implemented and tested in three locations with catchment areas from 0.01 to 10 ha, utilizing Unmanned Aerial Vehicle (UAV) and Structure-from-Motion (SfM) for data collection.

Main Results:

  • The novel gully erosion model demonstrated successful estimation of long-term erosion rates with an efficiency of 0.77.
  • The model's performance was validated across diverse catchment areas, indicating its robustness.
  • The developed hydraulic shear stress equation showed high accuracy when compared to existing laboratory measurements.

Conclusions:

  • The proposed gully erosion model provides a reliable tool for assessing erosion, sediment yield, and channel geometry.
  • The model is recommended for use in catchments up to 8 ha, offering valuable insights for environmental management.
  • This research contributes to a better understanding of gully erosion dynamics and provides practical applications for stakeholders and planners.