Lytton (South East Queensland) 2016 hourly air quality and meteorological data

datastore Active

URL: https://www.data.qld.gov.au/dataset/fc8d4550-1d2f-4e56-a2db-7b5f11b903ed/resource/7d26b5d7-6d54-4e52-ae79-0f1590807e06/download/lyttonaq2016.csv

Industry-operated monitoring site: Data presented as received by Queensland Government
Period of operation: 1 January to 31 December 2016
Site location: Latitude: -27.4065; Longitude: 153.1527
AS/NZS 3580.1.1:2007 site classification: Peak
AS/NZS 3580.1.1:2007 compliance (pollutants): Complies fully
AS/NZS 3580.14:2011 compliance (meteorology) : Complies, except for:

  • Wind, temperature, relative humidity, rainfall and barometric pressure sensors located 10 metres above ground level.
  • Rainfall measured by acoustic sensor.

Wind sensor: Ultrasonic sensor
Temperature: Capacitive ceramic sensor
Relative humidity: Capacitive thin film polymer sensor
Rainfall: Vaisala RAINCAP® precipitation sensor.
Barometric pressure: Capacitive silicon sensor.
Sulfur dioxide: Ultraviolet fluorescence analyser operated in accordance with AS 3580.4.1
PM10/PM2.5: Dichotomous Tapered Element Oscillating Balance (TEOM) Model 1405-D operated in accordance with AS/NZS 3580.9.13 (excluding FDMS requirements)

  • Measurement values do not compensate for loss of semi-volatile components from the collected particulate matter.
  • Reported concentrations are uncorrected instrument output values.
  • Negative hourly PM10/PM2.5 concentrations down to -5 µg/m^3 resulting from instrument noise at low particle concentrations are reported.

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Data Dictionary

Column Type Label Description
Date timestamp
Time text
Wind Direction (degTN) numeric
Wind Speed (m/s) numeric
Wind Sigma Theta (deg) numeric
Air Temperature (degC) numeric
Relative Humidity (%) numeric
Rainfall (mm) numeric
Barometric Pressure (hPa) numeric
Sulfur Dioxide (ppm) numeric
PM10 (ug/m^3) numeric
PM2.5 (ug/m^3) numeric

Additional Information

Field Value
Data last updated 2 April 2025
Metadata last updated 2 April 2025
Created 24 May 2017
Format CSV
License Creative Commons Attribution 4.0
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