Literature DB >> 23906884

Gden: An indicator for European noise maps comparison and to support action plans.

Gaetano Licitra1, Elena Ascari2.   

Abstract

Ten years after the approval of the Environmental Noise Directive 2002/49/EC (END) a large experience have been acquired to develop noise maps and action plans: the Noise Observation and Information Service for Europe maintained by the European Environment Agency (EEA) on behalf of the European Commission contains all data delivered in accordance with the END by Members States within the first round of implementation of the END. This large database should be useful to evaluate the pollution of Europe and to guide policy makers to establish best practices. However, local procedures and national methods do not permit a direct comparison of data reported. A comparison within agglomerations in EU is here carried out in order to find suitable indicators to identify most polluted cities despite different methods used. Critical and quiet areas have been assessed in action plans, but national laws and requirements are various, as different indicators used for their identification. The analysis was performed on noise exposure classes distribution, grouping them together using Gden and Gnight indicators to offer a new tool for presenting noise maps of the cities to the public permitting their comparison and for drawing detailed action plans. Strong relationship between these indicators and highly annoyed and highly sleep-disturbed people percentages are obtained. Furthermore, a comparison between Gden and Qcity Noise Scoring for local hot spot identification is carried out for the agglomeration of Pisa, where different transportation noise sources are present. The final goal is to define faster methods for suitable indicators calculation in hot spot identifications.
© 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Action plans; END; European cities noise exposure; Hot spots; Noise mapping

Mesh:

Year:  2013        PMID: 23906884     DOI: 10.1016/j.scitotenv.2013.07.014

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

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3.  Annoyance Judgment and Measurements of Environmental Noise: A Focus on Italian Secondary Schools.

Authors:  Fabrizio Minichilli; Francesca Gorini; Elena Ascari; Fabrizio Bianchi; Alessio Coi; Luca Fredianelli; Gaetano Licitra; Federica Manzoli; Lorena Mezzasalma; Liliana Cori
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4.  Traffic Flow Detection Using Camera Images and Machine Learning Methods in ITS for Noise Map and Action Plan Optimization.

Authors:  Luca Fredianelli; Stefano Carpita; Marco Bernardini; Lara Ginevra Del Pizzo; Fabio Brocchi; Francesco Bianco; Gaetano Licitra
Journal:  Sensors (Basel)       Date:  2022-03-01       Impact factor: 3.576

  4 in total

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