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ONLINE MONITORING OF URBAN ENVIRONMENT

Alexander Ivanov

Abstract

The goal of the paper is to design a concept of online monitoring for the urban environment. The set of urban online monitoring procedures includes five Internet of Things services: online calculation of air pollution produced by traffic congestion, online calculation of noise pollution for road neighborhood, calculation of the actual and forecast microalgae concentration for lakes and reservoirs, online calculation of livable meteorological conditions for urban microsites and calculation of acute and long-term health risk and the risk of early death. The air pollution application performs online calculation of the dispersion of pollutants along the route containing the traffic congestion. Calculation is based on a Gaussian model and correlation between velocity and intensity of traffic congestion. Once the route was selected the request to the Internet resources on the velocity of the traffic flow and on the meteorological data was sent. Comparison of online calculations of the concentration of pollutants according to the designed procedure with the concentration of pollutants in air samples of the roadside zone has been performed. The comparison showed satisfactory correlation between calculation and measurement of pollutant concentration. The correlation of noise and speed of traffic flow for road neighborhood areas was established. For the traffic flow speed requested from the Internet, the noise generated by the transport flow is calculated. The calculated noise level was compared with the measured noise level. Compliance is satisfactory. Micro weather service reflects the compliance of the environment to the Green Standards and comfortable meteorological parameters at the microsite level. Online monitoring of reservoirs and lakes is carried out using calculation of the actual and predicted concentrations of microalgae and cyanobacteria that cause blooming. This service is based on measuring the Secchi depth and measuring the concentration of algae, which in coupling with the measurement of meteorological and hydrophysical parameters is the basis for blooming forecast. The forecast is available after the transfer of the Secchi data via the Internet. All Internet services are used to assess health risks, including risks of acute toxicological effects, risks of long term health effects and risks of early death from cancer factors.

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DOI resolver: doi.org/10.5593/sgem2018/2.2/s08.043

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