2018
DOI: 10.3103/s8756699018030056
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WEB Geographic Information System and the Hardware and Software Ensuring Rapid Assessment of Air Pollution

Abstract: This paper touches upon the experience of research and development of hardware and software for air pollution monitoring of industrial cities, carried out at the Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences. Functional possibilities, architectural features, and user interface of the distributed web geographic information system of ecological monitoring of the city of Krasnoyarsk, which is being developed in service-oriented architecture, are discussed. Data are … Show more

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Cited by 25 publications
(9 citation statements)
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“…Some of the elements were printed using a 3d-printer (Figure 1). The authors have experience in such developments; a similar device for stationary placement was previously implemented [5].…”
Section: Methodsmentioning
confidence: 99%
“…Some of the elements were printed using a 3d-printer (Figure 1). The authors have experience in such developments; a similar device for stationary placement was previously implemented [5].…”
Section: Methodsmentioning
confidence: 99%
“…The system is based on many years of experience in scientific research and development in the field of solving problems of environmental monitoring and assessment of the state of the natural environment by a team of authors from the Institute of Computational Modeling SB RAS (ICM SB RAS) [10].…”
Section: Methodsmentioning
confidence: 99%
“…The Institute of Computational Modeling (ICM SB RAS) also conducts research and development of software and hardware for atmospheric pollution monitoring. A research monitoring unit has been developed based on the geoportal software and technology platform (Shaparev and Yakubailik 2016;Shaparev et al 2018;Yakubailik et al 2018). The system provides data collection from external sources, data storage and aggregation, automatic calculation of derived indicators, uploading and presentation of data through a web interface.…”
Section: Krasnoyarsk Air Quality Monitoring Networkmentioning
confidence: 99%