Smart Air Quality Network
The development of a close-meshed network of local fine-dust data,                which can be fed and used well by general public.

Welcome to the SmartAQnet-project

BACKGROUND / ADRESSED PROBLEM: Traditionally, the contamination of the air is detected by means of relatively few measuring stations by suitability-tested stationary measuring technology. Thus, according to the EU Directive, only a few organizations, including federal and state official agencies, are typically able to collect and present high quality data. However, the spatial distribution of air pollutants in urban atmospheres varies widely and depends on a number of factors relating to both the issuers (spatial arrangement, temporal activity) and the laws of pollutant propagation (orthography, wind field, turbulence).


OUR GOAL: The development of an intelligent, reproducible measurement network in the model region Augsburg, that captures all currently available aerosol and gas measurement data as well as meteorology using existing technologies. For this purpose, new low-cost measurement technologies are to be developed, deployed and brought into consistency with existing measurement data in order to obtain informative data as realistically as possible in real-time. The data network should capture and display the official and mobile data in such a way that all measurement data can be used profitably in the future for science, public authorities and citizens alike, e.g. as compatible for scientific purposes as well as for user-oriented services, which are already existing or developed. This results in a close-meshed network of local data that can be used well by individuals.


 

NEWS


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08.02.2018

First preliminary work for measuring operations of the University of Augsburg completed

The University of Augsburg was able to complete initial preparations for the measurement campaigns. So was, inter alia, a third LOAC was put into operation as part of the comparative measurement at the aerosol measuring station of Augsburg University of Applied Sciences. Furthermore, a first prototype of a bicycle holder was developed on which in addition to a Alphasense OPC-N2 also a digital temperature and humidity sensor (Almemo FHAD46-C2, Fa. Ahlborn) can be attached. In addition, adaptations were made to improve the ventilation of the OPCs.
However, before starting the bicycle measurements, all Alphasense OPC-N2 will participate in the comparative measurement for all individual devices for at least a few days at the aerosol measuring station of Augsburg University.
Initial tests were also carried out for the UAV measurements, furthermore a sensor box with meteorological measuring instruments and a mounting plate for the Alphasense OPC-N2 being developed for the DJI-M600pro multicopter. Both were tested within the scope of the project "Urban Climate Under Change" at the IOP3 in Berlin and first experiences with longer measuring flights of multicopters could be gained. One result of the preliminary tests is that the ventilation of the sensors also has to be improved.

If you are more interested in how the UAVs work, how they are measured and how they can be used, simply contact us or the project partner University of Augsburg.



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IOP02

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19.11.2018, 09:41

IOP02 Start:

Start: Thursday 15 November, 12.00 (7:00 for Uni Augsburg) End: Friday, 16 November 12.00   mehr


15.11.2018, 16:10

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14.11.2018, 10:50

IOP02

IOP02 Start: Thursday 15th November 12 AM (07 AM for University Augsburg) End: Friday 16th November 12 AM   mehr






EVENTS

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06.02.2018
SOP-Workshop Task Force Data Provisioning
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07.05.2018
Internal Workshop
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09.08.2018
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09.08.2018
SmartAQnet at the ICUC at New York
Prof. Stefan Emeis submitted a contribution at the [https://www.ametsoc.org/ams/index.cfm/meetings-events/ams-meetings/10th-international-conference-on-urban-climate-14th-symposium-on-the-urban-environment/ ...   mehr


04. - 05. 12.2018   Workshop of the project Smart Air Quality Network, München...   mehr

                                         Agenda of the Workshop ... mehr