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

Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

66
Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
66
Types of Impact01:30

Types of Impact

1.3K
Impacts can be classified in various forms, primarily under two subgroups: central impact and oblique impact. A central impact occurs when two objects collide head-on, possessing opposite velocities aligned along the line of impact. Conversely, an oblique impact occurs when two objects collide at an angle, resulting in a modification of both direction and velocity.
The coefficient of restitution is a metric for understanding the dynamics of impacts. It quantifies the ratio of relative velocity...
1.3K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

606
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...
606
Impact01:30

Impact

766
Impact occurs when two bodies collide, leading to the application of impulsive forces between them. Analyzing impact mechanics involves considering two colliding particles moving along a line known as the line of impact, which passes through their centers and is perpendicular to the contact plane.
When particles with different initial velocities collide, they induce deformation by applying equal and opposite impulses. At the point of maximum deformation, the particles move together with...
766
Halo Effect01:27

Halo Effect

856
The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
856
Methods of Medium Optimization01:28

Methods of Medium Optimization

74
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
74

You might also read

Related Articles

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

Sort by
Same author

Method selection for sustainability assessments: The case of recovery of resources from waste water.

Journal of environmental management·2017
Same author

A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment.

Risk analysis : an official publication of the Society for Risk Analysis·2015
Same author

A maximum likelihood approach to correlation dimension and entropy estimation.

Bulletin of mathematical biology·2015
Same author

Substance flows through the economy and environment of a region : Part I: Systems definition; Part II: Modelling.

Environmental science and pollution research international·2013
Same author

Substance flows through the economy and environment of a region : Part I: Systems definition.

Environmental science and pollution research international·2013
Same author

Substance flows through the economy and environment of a region : Part II: Modelling.

Environmental science and pollution research international·2013

Related Experiment Video

Updated: May 5, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.7K

Harmonization of methods for impact assessment.

R Heijungs1

  • 1CML (Centre of Environmental Science, Leiden University), P.O. Box 9518, 2300, RA Leiden, The Netherlands.

Environmental Science and Pollution Research International
|November 16, 2013
PubMed
Summary
This summary is machine-generated.

Environmental decision support techniques like risk assessment (RA) and life-cycle assessment (LCA) can be harmonized. Most impact assessment models are applicable to both continuous emission fluxes and discrete emission pulses, simplifying environmental decision-making.

More Related Videos

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

3.3K
Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes
07:42

Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes

Published on: January 10, 2022

4.2K

Related Experiment Videos

Last Updated: May 5, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.7K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

3.3K
Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes
07:42

Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes

Published on: January 10, 2022

4.2K

Area of Science:

  • Environmental Science
  • Environmental Management
  • Decision Support Systems

Background:

  • Environmental decision support tools, including risk assessment (RA) and life-cycle assessment (LCA), are crucial for informed environmental management.
  • A need exists for coherent frameworks, common datasets, and harmonized methodologies to improve the efficacy and comparability of these techniques.

Purpose of the Study:

  • To discuss the harmonization of environmental decision support techniques, specifically risk assessment (RA) and life-cycle assessment (LCA).
  • To explore the applicability of impact assessment models across different emission assessment approaches (continuous fluxes vs. discrete pulses).

Main Methods:

  • Comparative analysis of risk assessment (RA) and life-cycle assessment (LCA) methodologies.
  • Evaluation of impact assessment models for their suitability in both flux-oriented and pulse-oriented techniques.
  • Discussion on the implications of model harmonization for environmental decision support.

Main Results:

  • A fundamental difference exists between continuous emission flux assessment (RA) and discrete emission pulse assessment (LCA).
  • Most impact assessment models can be applied to both continuous and discrete emission scenarios, enabling harmonization.
  • Steady-state models can be utilized in pulse-oriented techniques, and equivalency factors for LCA can be established.

Conclusions:

  • Harmonization of environmental decision support techniques like RA and LCA is feasible through the application of common impact assessment models.
  • The findings facilitate the use of simpler steady-state models and the development of equivalency factors, enhancing efficiency in environmental analysis.
  • This harmonization promotes more consistent and robust environmental decision-making across different assessment paradigms.