Citizen science and regulatory monitoring: bridging the gap?
Ernie Weijers, Hester Volten, Marita Voogt Department of Research and Innovation of Monitoring
National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
bridging the gap? Ernie Weijers, Hester Volten, Marita Voogt - - PowerPoint PPT Presentation
Citizen science and regulatory monitoring: bridging the gap? Ernie Weijers, Hester Volten, Marita Voogt Department of Research and Innovation of Monitoring National Institute for Public Health and the Environment (RIVM), Bilthoven, The
Ernie Weijers, Hester Volten, Marita Voogt Department of Research and Innovation of Monitoring
National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
ASIC, 13 September 2018, Oakland
RIVM
measuring air quality in cities, rural areas and near industry
2016: start program ‘Innovation of Monitoring‘ Why Sensors and Citizen Science? advances in sensor technology prospect of higher spatial and temporal data resolution new ways to communicate with citizens needed
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
The Ammonia Measurement Network in Nature Reserves measures ammonia concentrations at 82 locations on a monthly basis more than 250 tubes in total passive diffusion tube
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
Lesson learned Trusting measurement devices to nonexperts is a cost- efficient way to build a monitoring network on a scale that would
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
Air Quality (NO2) mapping using sensor kits built by citizens
Lessons learned:
at an early stage
ASIC, 13 September 2018, Oakland
Shinyei PPD42NJ NOVA SDS011
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
(monitoring) and citizens
interactive knowledge- and dataportal
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland
Reference s=5% BI =10 % Sensor s=8% BI =16 % Model s=13% BI =26 %
ASIC, 13 September 2018, Oakland
ASIC, 13 September 2018, Oakland