Evaluation matrix for noise pollution
Grigorian, Lili (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024100125894
https://urn.fi/URN:NBN:fi:amk-2024100125894
Tiivistelmä
Noise pollution, stemming from various human activities such as transportation, industrial processes, and urbanization, poses significant threats to human health and ecological stability. The adverse effects of noise pollution include sleep disturbances, cardiovascular diseases, cognitive impairments, and reduced quality of life. Moreover, it contributes to habitat disruption and biodiversity loss in both urban and rural environments. Despite the well-documented impacts, existing research lacks a comprehensive framework for systematically evaluating the effectiveness of noise mitigation strategies in urban areas.
This study addresses this gap by developing an evaluation matrix for noise pollution, specifically tailored to the urban context of Glasgow. The research leverages Multi-Criteria Decision Analysis (MCDA), including methodologies such as the Analytical Hierarchy Process (AHP), to systematically evaluate and rank noise pollution sources based on multiple factors. These factors include noise intensity, duration, distance from the source to the receptor, road surface materials, tire materials, speed limitations, number of sources, topography, weather conditions, and time of day. Additionally, the social impact of noise on sensitive receptors like educational institutions, healthcare facilities, and residential areas is considered.
The thesis is structured into several sections. The first section reviews existing literature on urban acoustics, providing a comprehensive overview of current definitions, approaches, and methodologies. The second section details the methodology used to develop the evaluation matrix, while the third section presents the results of applying this matrix to real-world data. The final section discusses the findings, limitations, and potential for future research.
A significant finding from this study is the importance of considering land use types when evaluating noise pollution. The research highlights that noise levels can vary significantly depending on traffic patterns, with off-peak hours potentially being noisier than rush hours due to higher speeds and traffic volumes. This insight underscores the need for targeted noise reduction measures, particularly at night.
The study successfully developed a Glasgow-oriented noise evaluation matrix that offers practical guidance for policymakers. This matrix not only provides a robust tool for assessing noise pollution in Glasgow but can also be adapted and further developed for broader applications in urban planning and environmental management. By bridging the gap between research and practice, this study enhances the potential for creating healthier and more sustainable urban environments, paving the way for future advancements in noise pollution management.
This study addresses this gap by developing an evaluation matrix for noise pollution, specifically tailored to the urban context of Glasgow. The research leverages Multi-Criteria Decision Analysis (MCDA), including methodologies such as the Analytical Hierarchy Process (AHP), to systematically evaluate and rank noise pollution sources based on multiple factors. These factors include noise intensity, duration, distance from the source to the receptor, road surface materials, tire materials, speed limitations, number of sources, topography, weather conditions, and time of day. Additionally, the social impact of noise on sensitive receptors like educational institutions, healthcare facilities, and residential areas is considered.
The thesis is structured into several sections. The first section reviews existing literature on urban acoustics, providing a comprehensive overview of current definitions, approaches, and methodologies. The second section details the methodology used to develop the evaluation matrix, while the third section presents the results of applying this matrix to real-world data. The final section discusses the findings, limitations, and potential for future research.
A significant finding from this study is the importance of considering land use types when evaluating noise pollution. The research highlights that noise levels can vary significantly depending on traffic patterns, with off-peak hours potentially being noisier than rush hours due to higher speeds and traffic volumes. This insight underscores the need for targeted noise reduction measures, particularly at night.
The study successfully developed a Glasgow-oriented noise evaluation matrix that offers practical guidance for policymakers. This matrix not only provides a robust tool for assessing noise pollution in Glasgow but can also be adapted and further developed for broader applications in urban planning and environmental management. By bridging the gap between research and practice, this study enhances the potential for creating healthier and more sustainable urban environments, paving the way for future advancements in noise pollution management.