Short answer
Designers and planners should incorporate noise dispersion modelling into site selection and environmental impact assessments for industrial facilities, considering prevailing weather patterns to minimize adverse human and ecological effects.
- Field
- Human Factors
- Source
- University of Zagreb University Computing Centre (SRCE) (2006)
- Method
- Modelling and Simulation
- Evidence
- Strong effect
The intensity of noise generated by gas flaring diminishes as the distance from the flare point increases, with atmospheric conditions playing a significant role in its dispersion. This human factors research insight is drawn from a 2006 study published in University of Zagreb University Computing Centre (SRCE). Using Modelling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers and planners should incorporate noise dispersion modelling into site selection and environmental impact assessments for industrial facilities, considering prevailing weather patterns to minimize adverse human and ecological effects.
Gas flaring noise intensity decreases with distance, influenced by weather conditions.
The intensity of noise generated by gas flaring diminishes as the distance from the flare point increases, with atmospheric conditions playing a significant role in its dispersion.
University of Zagreb University Computing Centre (SRCE) · 2006
Key Findings
- 01Noise intensity level reduces with increasing distance from the flare point.
- 02Weather conditions have an important influence on noise dispersion.
- 03The developed model showed a high correlation (0.955 - 0.995) with experimental results.
Application
Design takeaway
Designers and planners should incorporate noise dispersion modelling into site selection and environmental impact assessments for industrial facilities, considering prevailing weather patterns to minimize adverse human and ecological effects.
How to apply
When designing or assessing industrial sites, use noise dispersion models to predict sound levels at various distances and under different weather scenarios to inform layout and mitigation measures.
Project actions
- 01When studying noise pollution, consider both distance and environmental factors.
- 02Use simulation tools to predict the impact of design choices on noise levels.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Development of a validated deterministic model for noise dispersion.
- +Inclusion of experimental data to support simulation results.
- +Focus on a real-world industrial pollution problem.
Limitations
The model was developed for a specific region and may not be directly applicable to all geographical or industrial contexts without recalibration.
Reliability & validity
The study's reliability is supported by the high correlation coefficient between simulated and experimental results. Validity is enhanced by the experimental validation of the deterministic model, indicating it accurately reflects real-world noise dispersion.
Think critically
How might the limitations of this deterministic model, such as its reliance on specific weather parameters, impact its applicability in regions with highly variable or unpredictable atmospheric conditions?
Design Principles
"Environmental noise impact is inversely proportional to distance from the source and directly influenced by atmospheric conditions."
Understanding noise dispersion patterns from industrial sources like gas flaring is crucial for designing environments that mitigate negative impacts on human and animal well-being. This knowledge informs urban planning, industrial siting, and the development of noise abatement strategies.
What This Means for Your Design
This research shows that noise from burning off excess gas at industrial sites gets quieter the further away you go, and the weather changes how loud it is. They made a computer program that accurately predicts this.
How to use in your project
- 1.Reference this study when discussing the impact of industrial noise on human health and the environment in your design project.
- 2.Use the findings to justify design decisions related to site selection or noise reduction strategies.
Add to My Project
Quick Cite
Paragraph starter
The research by Abdulkareem and Odigure (2006) highlights that noise intensity from industrial sources like gas flaring decreases with increasing distance from the source and is significantly influenced by weather conditions. Their developed deterministic model demonstrated a strong correlation with experimental data, suggesting that such models can effectively predict noise dispersion patterns. This understanding is vital for designing environments that minimize the adverse health and psychological impacts of industrial noise pollution.
Source
University of Zagreb University Computing Centre (SRCE)
Deterministic Model for Noise Dispersion from Gas Flaring: A Case Study of Niger – Delta Area of Nigeria
journal · 2006
View sourceQuestions About This Research
- What does the research say about gas flaring noise intensity decreases with distance, influenced by weather conditions?
- Designers and planners should incorporate noise dispersion modelling into site selection and environmental impact assessments for industrial facilities, considering prevailing weather patterns to minimize adverse human and ecological effects. Evidence: University of Zagreb University Computing Centre (SRCE) (2006).
- Why does "Gas flaring noise intensity decreases with distance, influenced by weather conditions." matter for design?
- Understanding noise dispersion patterns from industrial sources like gas flaring is crucial for designing environments that mitigate negative impacts on human and animal well-being. This knowledge informs urban planning, industrial siting, and the development of noise abatement strategies.
- How can designers apply this research?
- Designers and planners should incorporate noise dispersion modelling into site selection and environmental impact assessments for industrial facilities, considering prevailing weather patterns to minimize adverse human and ecological effects.
- What were the main findings?
- Noise intensity level reduces with increasing distance from the flare point.. Weather conditions have an important influence on noise dispersion.. The developed model showed a high correlation (0.955 - 0.995) with experimental results.
- What research method was used?
- Modelling and Simulation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2006 journal from University of Zagreb University Computing Centre (SRCE).
- What should I do differently in my next project?
- When designing or assessing industrial sites, use noise dispersion models to predict sound levels at various distances and under different weather scenarios to inform layout and mitigation measures.
- What are the limitations?
- The model's accuracy may vary with specific flare types, atmospheric conditions not accounted for, and the geographical specifics of the study area.