TY - GEN
T1 - Sensors, Mobile Monitoring & Citizen Involvement: Complementary Tools for More Accurate Air Quality Exposure Assessments
AU - Hofman, Jelle
AU - Van Poppel, Martine
AU - Hoek, Gerard
AU - Viana, Mar
AU - Theunis, Jan
AU - Peters, Jan
AU - Kerckhoffs, Jules
AU - Moreno, Teresa
AU - Rivas, Ioar
AU - Basagaña, Xavier
AU - Nogueira dos Santos, Vanessa
AU - Harrison, Roy M.
AU - Bousiotis, Dimitrios
AU - Green, David C.
AU - Petäjä, Tuukka
AU - Zaidan, Martha Arbayani
AU - Hossein Motlagh, Naser
AU - Bougiatioti, Aikaterini
PY - 2023/4
Y1 - 2023/4
N2 - RI-URBANS aims to develop and test innovative and complementary air quality monitoring approaches in different European pilot cities. This methodological work focusses on the potential of mobile and stationary sensor applications as complementary tools for traditional (low-density) monitoring networks. Complementary measurements can contribute to understand spatial variability of short-lived constituents of air pollution from a diversity of pollution sources. We identify different data users and use cases for mobile, stationary (or combined) sensor applications and their resulting implications regarding device specifications, monitoring strategy and data processing needs. By reflecting on past studies and projects, we summarize common methodological approaches and best practices to increase the spatial resolution of air quality data. Moreover, the role of citizen engagement is evaluated, both in generating more data and air quality impact (awareness raising).
AB - RI-URBANS aims to develop and test innovative and complementary air quality monitoring approaches in different European pilot cities. This methodological work focusses on the potential of mobile and stationary sensor applications as complementary tools for traditional (low-density) monitoring networks. Complementary measurements can contribute to understand spatial variability of short-lived constituents of air pollution from a diversity of pollution sources. We identify different data users and use cases for mobile, stationary (or combined) sensor applications and their resulting implications regarding device specifications, monitoring strategy and data processing needs. By reflecting on past studies and projects, we summarize common methodological approaches and best practices to increase the spatial resolution of air quality data. Moreover, the role of citizen engagement is evaluated, both in generating more data and air quality impact (awareness raising).
KW - 113 Computer and information sciences
U2 - 10.5194/egusphere-egu23-16601
DO - 10.5194/egusphere-egu23-16601
M3 - Other contribution
PB - EGU General Assembly
ER -