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

Erwan Bocher 1 Gwenaël Guillaume 2 Judicaël Picaut 2 Gwendall Petit 3 Nicolas Fortin 2
1 Lab-STICC_CNRS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_UBS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : 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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02057736
Contributor : Gwendall Petit <>
Submitted on : Tuesday, March 5, 2019 - 3:38:26 PM
Last modification on : Thursday, March 7, 2019 - 1:03:23 AM

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Links full text

Identifiers

Citation

Erwan Bocher, Gwenaël Guillaume, Judicaël Picaut, Gwendall Petit, Nicolas Fortin. NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps. ISPRS International Journal of Geo-Information, MDPI, 2019, 8 (3), pp.130. ⟨10.3390/ijgi8030130⟩. ⟨hal-02057736⟩

Share

Metrics

Record views

36