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

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
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.
Modeling and Similitude01:12

Modeling and Similitude

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...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Turbulent Flow01:24

Turbulent Flow

Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent spots,...

You might also read

Related Articles

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

Sort by
Same author

Brominated Persistent Organic Pollutants in Cloud/Fog Water: First Field Observations of Scavenging Behavior.

Environmental science & technology·2026
Same author

Pirates of the Caribbean (and Elsewhere): Three-Legged Lizards and the Study of Evolutionary Adaptation.

The American naturalist·2025
Same author

PCDD/Fs and PCBs scavenged through cloud water during northeast monsoon.

Journal of hazardous materials·2025
Same author

Cyclists' exposure to air pollution: in situ evaluation with a cargo bike platform.

Environmental monitoring and assessment·2020
Same author

Modelling of Urban Air Pollutant Concentrations with Artificial Neural Networks Using Novel Input Variables.

International journal of environmental research and public health·2020
Same author

A 1-year greenhouse gas budget of a peatland exposed to long-term nutrient infiltration and altered hydrology: high carbon uptake and methane emission.

Environmental monitoring and assessment·2019

Related Experiment Video

Updated: May 31, 2026

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

A comparison of model performance between AERMOD and AUSTAL2000.

Christian Langner1, Otto Klemm

  • 1Institute of Landscape Ecology, Department of Climatology, University of Münster, Münster, Germany.

Journal of the Air & Waste Management Association (1995)
|July 15, 2011
PubMed
Summary

The American Meteorological Society and U.S. Environmental Protection Agency Regulatory Model (AERMOD) generally outperformed the German Dispersion Model (AUSTAL2000) in predicting air pollutant concentrations across various scenarios. AERMOD showed better performance in complex terrain and urban environments.

More Related Videos

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

Related Experiment Videos

Last Updated: May 31, 2026

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

Area of Science:

  • Atmospheric Science
  • Environmental Modeling
  • Air Quality Assessment

Background:

  • Gaussian plume and Lagrangian dispersion models are crucial for air quality assessments.
  • Regulatory models like AERMOD and AUSTAL2000 are vital for environmental protection.
  • Accurate dispersion modeling is essential for understanding and mitigating air pollution impacts.

Purpose of the Study:

  • To compare the performance of AERMOD and AUSTAL2000 under diverse conditions.
  • To evaluate model accuracy against field data, focusing on high concentration levels.
  • To identify model strengths and weaknesses in various terrains and source types.

Main Methods:

  • Five test cases were designed, encompassing different source types, rural/urban settings, and terrain.
  • Model predictions were compared with field observations using quantile-quantile plots.
  • A performance measure focused on the upper range of concentration levels was applied.

Main Results:

  • AERMOD generally showed closer agreement with field observations than AUSTAL2000.
  • Both models improved with the inclusion of building downwash effects.
  • AERMOD performed better in mountainous and urban terrains; AUSTAL2000 struggled with stable conditions and urban heat island effects.

Conclusions:

  • AERMOD is a stronger model for complex and urban terrain compared to AUSTAL2000.
  • AUSTAL2000's underestimations may stem from meteorological input simplifications and rounding errors.
  • Accurate modeling of building downwash and urban turbulence is critical for regulatory dispersion models.