Abstract
The development of a real-time environmental monitoring system based on the integration of data from various sources is considered. To create this system, a geoportal technology platform is used to collect, process and present data from various observations. During the implementation of the development, the data transmission from a number of sources with information on air pollution and meteorological data was configured. The system operates in pilot operation mode in Krasnoyarsk. The generated spatial database contains the specified information on all available measurement points for the last few years. Geoportal map services and web applications provide interactive visualization of data in the form of tables, graphs and thematic maps in standard web browser. Source data can also be loaded for analysis in spreadsheet software such as Microsoft Excel or displayed in GIS packages through standard Open Geospatial Consortium map services.
Highlights
Monitoring the state of environmental pollution is an important basis for environmental engineering
Sensor Web Enablement (SWE) consists of seven standards: sensor model language (SensorML), observations & measurements schema (O&M), transducer markup language (TML), sensor observations service (SOS), sensor planning service (SPS), sensor alert service (SAS), web notification service (WNS) [8]
On the basis of the geoportal оf the Institute of Computational Modeling of SB RAS, a unit of scientific and research monitoring was developed for the collection, processing and presentation of data from various observations [12]
Summary
Monitoring the state of environmental pollution is an important basis for environmental engineering. Environmental and air monitoring systems in particular are being created and implemented in many cities of the world both abroad and in Russia [1, 2]. In Krasnoyarsk a number of organizations of federal and regional levels monitors the state of air pollution on the basis of their own methods and technologies of data processing. The data collected are often published late and are not widely understood. The use of international standards would greatly facilitate the collection and analysis of observations from different sources. Monitoring systems are being implemented in different countries of the world, based on a network of sensors distributed throughout the territory [3, 4]. Access to operational observations is limited and there are no specialized tools for obtaining such data
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