Environmental Methods for Transport Noise Reduction

Derived from the output of HOSANNA, a major EU research project, this book presents evidence-based guidance on novel noise abatement methods, outlines noise prediction methods which can be integrated with noise mapping software, details assessment methods for perceived noise, and highlights the economic benefits, including positive effects on ur

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Presents Evidence-Based Guidance on Noise Abatement Methods



Solutions for reducing the noise impact of road and rail traffic can be found in the use of natural elements in combination with artificial elements in urban and rural environments. Ground and road surface treatments; trees, forests, and tall vegetation; and the greening of buildings and other surfaces can contribute to powerful and cost-effective noise reduction. Environmental Methods for Transport Noise Reduction presents the main findings of the Holistic and Sustainable Abatement of Noise by optimized combinations of Natural and Artificial means (HOSANNA) research project. This project involved experts from seven countries, and assessed noise reduction in terms of sound level reductions, perceptual effects, and cost–benefit analysis. It considered a number of green abatement strategies, and aimed to develop a toolbox for reducing road and rail traffic noise in outdoor environments.



Combines Theory with Practice

Broad in both theory and application and based on leading-edge research, the book brings together the findings and their practical use. It details assessment methods for perceived noise, and outlines noise prediction methods that can be integrated with noise mapping software. It also explores the economic benefits and positive effects on urban air quality and CO2 levels.



The material is this book:










Includes up-to-date results on noise mitigation using vegetation and ground treatments



Contains relevant results on innovative noise barrier designs



Presents data on acoustic performance of vegetation and soil substratum



Provides perceptual and cost–benefit analyses of noise mitigation methods






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