Use of computer vision in assessment of air quality in city transportation system

An approach to the formation of a description of the city's transport system is considered in order to identify the most polluted road spans with vehicle exhaust gases. The quantitative characteristics of pollution are determined in accordance with the standard Russian GOST R 56162-2019. When estimating emissions from road transport, information presented on the web in graphical form about traffic jam is used. In addition, the information on the number of cars, average speed and type of transport obtained by analyzing the video stream from web cameras by the YOLO neural network (version 4) is also used. The binding of pollution results to the transport system is formalized using the transport system ontology. The results can be used in dynamic models of pollution in urbanized area

Virtual research environment for regional climatic processes analysis: ontological approach to spatial data systematization

This paper describes a Virtual Research Environment (VRE) based on a web GIS platform ‘Climate+’, which provides an access to analytic instruments processing 19 collections of meteorological and climate data of several international organizations. This environment provides systematization of spatial data and related climate information and allows a user getting analysis results using geoinformation technologies. The ontology approach to this systematization is described, making it possible to match semantics of meteorological and climate parameters presented in different collectionjavascript:void(0);s and used in solving various applied problems

Ontological description of applied tasks and related meteorological and climate data collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task

Ontological description of applied tasks and related meteorological and climate data collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task

Modelling system for short-term forecast of weather and air quality above a city

For monitoring and short-term forecasting of the meteorological situation and atmospheric air quality near settlements, transport hubs and industrial facilities, the Meteo+ automated computing system is proposed, based on a mathematical model of the atmospheric boundary layer and an effective numerical method focused on the use of supercomputers. The mathematical model includes an impurity transport model with a reduced chemical mechanism and a non-hydrostatic mesoscale meteorological model with a modern moisture microphysics parameterization scheme. Examples of the successful application of the developed automated computing system in the numerical prediction of surface air quality deterioration in light winds and temperature inversions, as well as in the prediction of such dangerous weather phenomena as wind gusts are given

Marvel analysis of the measured high-resolution rovibrational spectra of H₂³²S

Abstract 44 325 measured and assigned transitions of H₂³²S, the parent isotopologue of the hydrogen sulfide molecule, are collated from 33 publications into a single database and reviewed critically. Based on this information, rotation-vibration energy levels are determined for the ground electronic state using the Measured Active Rotational-Vibrational Energy Levels (Marvel) technique. The ortho and para principal components of the measured spectroscopic network of H₂³²S are considered separately. The verified set of 25 293 ortho-- and 18 778 para- H₂³²S transitions determine 3969 ortho and 3467 para energy levels. The Marvel results are compared with alternative data compilations, including a theoretical variational linelist

IUPAC critical evaluation of the rotational–vibrational spectra of water vapor. Part IV. Energy levels and transition wavenumbers for D216O, D217O, and D218O

International audienc