Challenges in Capturing and Analyzing High Resolution Urban Air Quality Data

Classic measurement grids with their static and expensive infrastructure are unfit to realize modern air quality monitoring needs, such as source appointment, pollution tracking or the assessment of personal exposure. Fine grained air quality assessment (both in time and space) is the future. Different approaches, ranging from measurement with low-cost sensors over advanced modeling and remote sensing to combinations of these have been proposed. This position paper summarizes our previous contributions in this field and lists what we see as open challenges for future research.

[1]  Matthias Budde,et al.  Participatory Sensing or Participatory Nonsense? , 2017 .

[2]  J. Lelieveld,et al.  The contribution of outdoor air pollution sources to premature mortality on a global scale , 2015, Nature.

[3]  Matthias Budde,et al.  Retrofitting smartphones to be used as particulate matter dosimeters , 2013, ISWC '13.

[4]  Matthias Budde,et al.  Distributed, Low-cost Particulate Matter Sensing: Scenarios, Challenges, Approaches , 2014 .

[5]  Matthias Budde,et al.  The TECO Envboard: A mobile sensor platform for accurate urban sensing — And more , 2012, 2012 Ninth International Conference on Networked Sensing (INSS).

[6]  Matthias Budde,et al.  Enabling low-cost particulate matter measurement for participatory sensing scenarios , 2013, MUM.

[7]  Matthias Budde,et al.  Sensified Gaming: Design Patterns and Game Design Elements for Gameful Environmental Sensing , 2016, ACE.

[8]  Matthias Budde,et al.  SmartAQnet: remote and in-situ sensing of urban air quality , 2017, Remote Sensing.

[9]  Matthias Budde,et al.  Robust in-situ data reconstruction from poisson noise for low-cost, mobile, non-expert environmental sensing , 2015, SEMWEB.

[10]  Jan Duyzer,et al.  Representativeness of air quality monitoring networks , 2015 .

[11]  Matthias Budde.  Distributed, Low-Cost, Non-Expert Fine Dust Sensing with Smartphones , 2019 .

[12]  Matthias Budde,et al.  Suitability of the low-cost SDS011 particle sensor for urban PM monitoring , 2018 .

[13]  E. Snyder,et al.  The changing paradigm of air pollution monitoring. , 2013, Environmental science & technology.

[14]  Matthias Budde,et al.  Design of a light-scattering particle sensor for citizen science air quality monitoring with smartphones : Tradeoffs and experiences , 2016 .

[15]  Matthias Budde,et al.  Investigating the use of commodity dust sensors for the embedded measurement of particulate matter , 2012, 2012 Ninth International Conference on Networked Sensing (INSS).