A citizen centred urban network for weather and air quality in Australian schools

被引:0
|
作者
Giulia Ulpiani
Melissa Anne Hart
Giovanni Di Virgilio
Angela M. Maharaj
Mathew J. Lipson
Julia Potgieter
机构
[1] University of New South Wales,Climate Change Research Centre
[2] University of New South Wales,Australian Research Council Centre of Excellence for Climate Extremes
[3] New South Wales Department of Planning and Environment,Australian Research Council Centre of Excellence for Climate System Science
[4] University of New South Wales,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
High-quality, standardized urban canopy layer observations are a worldwide necessity for urban climate and air quality research and monitoring. The Schools Weather and Air Quality (SWAQ) network was developed and distributed across the Greater Sydney region with a view to establish a citizen-centred network for investigation of the intra-urban heterogeneity and inter-parameter dependency of all major urban climate and air quality metrics. The network comprises a matrix of eleven automatic weather stations, nested with a web of six automatic air quality stations, stretched across 2779 km2, with average spacing of 10.2 km. Six meteorological parameters and six air pollutants are recorded. The network has a focus on Sydney’s western suburbs of rapid urbanization, but also extends to many eastern coastal sites where there are gaps in existing regulatory networks. Observations and metadata are available from September 2019 and undergo routine quality control, quality assurance and publication. Metadata, original datasets and quality-controlled datasets are open-source and available for extended academic and non-academic use.
引用
下载
收藏
相关论文
共 50 条
  • [1] A citizen centred urban network for weather and air quality in Australian schools
    Ulpiani, Giulia
    Hart, Melissa Anne
    Di Virgilio, Giovanni
    Maharaj, Angela M.
    Lipson, Mathew J.
    Potgieter, Julia
    SCIENTIFIC DATA, 2022, 9 (01)
  • [2] Crowdsourcing air temperature from citizen weather stations for urban climate research
    Meier, Fred
    Fenner, Daniel
    Grassmann, Tom
    Otto, Marco
    Scherer, Dieter
    URBAN CLIMATE, 2017, 19 : 170 - 191
  • [3] Investigation of indoor air quality at urban schools in Qatar
    Abdel-Salam, Mahmoud M. M.
    INDOOR AND BUILT ENVIRONMENT, 2019, 28 (02) : 278 - 288
  • [4] Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium
    Beele, Eva
    Reyniers, Maarten
    Aerts, Raf
    Somers, Ben
    EARTH SYSTEM SCIENCE DATA, 2022, 14 (10) : 4681 - 4717
  • [5] Urban Air Quality Based on Bayesian Network
    Yang, Ruijun
    Yan, Feng
    Zhao, Nan
    2017 IEEE 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN), 2017, : 1003 - 1006
  • [6] A perspective on urban canopy layer modeling for weather, climate and air quality applications
    Ching, J. K. S.
    URBAN CLIMATE, 2013, 3 : 13 - 39
  • [7] Air quality influenced by urban heat island coupled with synoptic weather patterns
    Lai, Li-Wei
    Cheng, Wan-Li
    SCIENCE OF THE TOTAL ENVIRONMENT, 2009, 407 (08) : 2724 - 2733
  • [8] Air quality impacts of the 2019-2020 Black Summer wildfires on Australian schools
    Di Virgilio, Giovanni
    Hart, Melissa Anne
    Maharaj, Angela M.
    Jiang, Ningbo
    ATMOSPHERIC ENVIRONMENT, 2021, 261
  • [9] Quantifying indoor air quality determinants in urban and rural nursery and primary schools
    Branco, P. T. B. S.
    Alvim-Ferraz, M. C. M.
    Martins, F. G.
    Sousa, S. I. V.
    ENVIRONMENTAL RESEARCH, 2019, 176
  • [10] Wireless Sensor Network Dependable Monitoring for Urban Air Quality
    Nguyen, Huynh A. D.
    Ha, Quang P.
    IEEE ACCESS, 2022, 10 : 40051 - 40062