The subject of research was the vertical distribution of the concentration of solid particles during temperature inversions. The measurements were carried out using attachments mounted on the Unmanned Aerial Vehicle, including sensors for meteorological parameters and particulate matter. The flights were carried out during daylight hours in the absence of clouds at altitudes up to 500 m. It was found that in the presence of temperature inversion, the concentration of PM2.5 aerosol particles decreases with height and positively correlates with relative humidity. These patterns are violated when the atmosphere is polluted with the smoke of a city fire (the ignition area is about 12,500 m2).
PM2.5 particulate matter concentrations were measured at five monitoring posts along the Yenisei River over an area of about 18 km using certified CityAir stations. It has been established that in winter, the average daily concentrations of PM2.5 at these posts change almost the same way. Correlation coefficients are in the range of 0.75-0.96. High concentrations of PM2.5 are due to long periods of adverse meteorological conditions. It is shown that in the surface atmosphere above the Yenisei River, there is an uneven distribution of PM2.5 concentrations.
The system of scientific-research monitoring of the state of the environment in Krasnoyarsk on the basis of the ICM SB RAS geoportal is discussed. Software has been developed for the subsystem for collecting data on photographic fixation of fogging processes over the Yenisei River. Data collection is carried out both from public city surveillance cameras and from a specialized network of IP video cameras. A visual monitoring system has been created that provides for the collection of images from public and private IP surveillance cameras, image processing, uploading to a structured file archive and organizing access through web applications and services. On the basis of the collected data, the problems of searching for patterns of formation of hovering fogs over the Yenisei channel are considered in order to study the effect of a non-freezing polynya on air quality in Krasnoyarsk.
KEYWORDS: Agriculture, Vegetation, Satellites, Geographic information systems, MODIS, Data modeling, Spatial resolution, Remote sensing, Time series analysis
Methods for analyzing the dynamics of the NDVI vegetation index using satellite data of Terra MODIS and Planet Scope of various spatial resolutions are considered. The combination of geospatial modeling methods and remote sensing data processing technologies allows us to identify the features and patterns of spatiotemporal development of crops. The studies were carried out on the example of the experimental agricultural enterprise "Minino" of the Krasnoyarsk Scientific Center of the SB RAS. The data on selected crops: wheat, barley. A digital model was developed that contains up-to-date information on agricultural fields, varieties, crops, soil, particle size distribution, parent rocks and terrain conditions. All this data is necessary for joint analysis with satellite images.
Geographic information technologies and software for quick assessment of air pollution are considered. The developed tools are the basis of the air monitoring system of Krasnoyarsk created at the Federal Scientific Center of the Siberian Branch of the Russian Academy of Sciences. The results of measurements of particulate matter concentrations at air monitoring stations in different areas of the city for the winter period 2019 - 2020 are presented. The results are compared with the data of the regional state departmental environmental monitoring system of the Ministry of ecology of the Krasnoyarsk territory.
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