NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps
NoiseModelling: открытый ГИС-инструмент для создания карт экологического шума
2019-03-04
SCID: 54.1/npezrm9y
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NoiseModellingenvironmental noise mapsgeographic information systempopulation exposureroad traffic noise
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Abstract (AI)
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.
Key Findings
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.
Research Object
urban environmental noise from road traffic in a French city
Research Subject
population exposure to modeled noise levels under road-traffic scenarios, including threshold exceedance and level-class distributions
Publication Details
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2019-03-04
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References available in scid.ai3
WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Effects on Sleep2018
WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Cardiovascular and Metabolic Effects: A Summary2018
WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Annoyance2017