1 Savinikh V.P.
2 Maiorov A.A.
3 Materuhin A.V.

Moscow State University of Geodesy and Cartography (MIIGAiK)

The article is a brief summary of current research results of the authors in the field of spatial modeling of air pollution based on spatio-temporal data streams from geosensor networks. The urban environment is characterized by the presence of a large number of different sources of emissions and rapidly proceeding processes of contamination spread. So for the development of an adequate spatial model is required to make measurements with a large spatial and temporal resolution. It is shown that geosensor network provide researchers with the opportunity to obtain data with the necessary spatio-temporal detail. The article describes a prototype of a geosensor network to build a detailed spatial model of air pollution in a large city. To create a geosensor in the prototype of the system, calibrated gas sensors for a nitrogen dioxide and carbon monoxide concentrations measurement were interfaced to the module, which consist of processing unit and communication unit. At present, the authors of the article conduct field tests of the prototype developed.
The reported study was funded by RFBR and Russian Geographical Society according to the research project № 17-05-41156
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Savinikh V.P., 
Maiorov A.A., 
Materuhin A.V., 
(2017) Postroenie prostranstvennoj modeli zagryazneniya vozduha na osnove ispol'zovaniya potokov dannyh ot setej geosensorov [Spatial modeling of air pollution based on data streams from geosensor networks]. Geodesy and Cartography = Geodezia i Kartografia, 78, 12, pp. 39-43 . (In Russian). DOI: 10.22389/0016-7126-2017-930-12-39-43
Publication History
Received: 24.11.2017
Accepted: 20.12.2017
Published: 20.01.2018


2017 December DOI:

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