125.1 Noise_CNOSSOS_Sydney_2018
| metadata_field | |
|---|---|
| shortname | Noise_CNOSSOS_Sydney_2018 |
| title | Noise_CNOSSOS_Sydney_2018 |
| creator | Bridget Beesley (UWA) |
| contact_email | car.data@sydney.edu.au |
| abstract |
Sydney noise data was developed using a model called the Common NOise aSSessment methOdS (CNOSSOS-EU) by the European Commission, with updated code provided by the University of Leicester. The method can handle detailed inputs that allowed us to account for both the reflection and diffraction of sound. For each location, the modelled noise was based on the surrounding buildings, air temperature and wind direction, road networks and annual average daily traffic-volume data. Spatial data were combined from a variety of sources, validated, and brought into a common format for processing in a geographic information system (GIS). We used a combination of open source data (OpenStreetMap) for local roads, and roads volume data product titled Zenith Traffic Estimates (Veitch Lister Consulting). Local traffic estimates were modeled on traffic volume data obtained from a few local government areas (LGAs) in the Perth metropolitan area. Other data sources included BOM (air temperature, wind direction), Geoscape (building footprints), and cadastre (property) data obtained through the Western Australian Government, combined with building footprints to make a ‘landcover’ layer. Major and minor noise outputs were calculated for over 1.5 million receptor points across the Sydney metropolitan/Peel region and combined to single outputs for LDEN and LAEQ16. LDEN gives an average noise exposure over 24 hours weighted (i.e. a penalty added) for the evening and night periods. LAEQ16 is the equivalent continuous sound level in dB(A) that, over the period 07:00-23:00 hours, contains the same sound energy as the actual fluctuating sound that occurred in that period. |
| additional_metadata | /home/public_share_data/ResearchData_CAR/ResearchProjects_CAR/Noise_CNOSSOS_Australia/Noise_CNOSSOS_Sydney_2018 |
| alternate_identifier | https://cloud.car-dat.org/index.php/apps/files/files?dir=/Shared/ResearchProjects_CAR/Noise_CNOSSOS_Australia/Noise_CNOSSOS_Sydney_2018 |
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| Recommended Citation | |
| licence_code | No licence |
| accessibility |