NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps

NoiseModelling: открытый ГИС-инструмент для создания карт экологического шума
Erwan Bocher, Gwenaël Guillaume, Judicaël Picaut, Gwendall Petit, Nicolas Fortin
2019-03-04

NoiseModellingenvironmental noise mapsgeographic information systempopulation exposureroad traffic noise
The urbanisation phenomenon and related cities expansion and transport networks entail preventing the increase of population exposed to environmental pollution. Regarding noise exposure, the Environmental Noise Directive demands on main metropolis to produce noise maps. While based on standard methods, these latter are usually generated by proprietary software and require numerous input data concerning, for example, the buildings, land use, transportation network and traffic. The present work describes an open source implementation of a noise mapping tool fully implemented in a Geographic Information System compliant with the Open Geospatial Consortium standards. This integration makes easier at once the formatting and harvesting of noise model input data, cartographic rendering and output data linkage with population data. An application is given for a French city, which consists in estimating the impact of road traffic-related scenarios in terms of population exposure to noise levels in relation to both a threshold value and level classes.
1
A French city application estimates population exposure under road-traffic scenarios relative to a threshold value and predefined noise-level classes.
2
GIS integration simplifies the formatting and collection of building, land-use, transport-network, and traffic inputs required by standard noise models.
3
NoiseModelling implements environmental noise mapping as an open-source tool fully integrated within a GIS and compliant with Open Geospatial Consortium standards.
4
The approach provides an alternative to proprietary software for producing noise maps required by the Environmental Noise Directive.
5
The tool supports cartographic rendering and links modeled noise outputs with population data, facilitating exposure assessment.

urban environmental noise from road traffic in a French city

population exposure to modeled noise levels under road-traffic scenarios, including threshold exceedance and level-class distributions

Publication Details
Publication Date
2019-03-04
Journal
Publisher
ISSN
Cited by
81
Access Type
Author Information
Authors
Erwan Bocher
Gwenaël Guillaume
Judicaël Picaut
Gwendall Petit
Nicolas Fortin
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat →
Make a presentation
100%