Modeling the transport pressure on the rudn-university campus

As a participant of the UI Green Metric World University Ranking Network, the RUDN-University realized a complex of projects on sustainability and environment protection. Currently the university is on the 41th position in the ranking and is a national coordinator of this program in Russia. Among the main directions of the activities are the development of education on sustainability and environmental protection, resource and energy saving projects, research projects of different environmental and sustainability topics, separate waste collection, social educational activities and educational projects for schoolchildren and many others [1]. One of the most significant projects is the environmental monitoring of the RUDN-University campus. This allows us to consider the campus area as a living lab and to develop the air pollution models for various meteorological conditions. The pollutants to be controlled are consequences of the development of a transport system of the Moscow megapolis. The campus is surrounded with highways, big streets with an intensive transport load during all the 24 hours daily. As a result, the exceeding concentrations of NOx, sulfuric compounds, PMs, PAHs, soot, petroleum products and other compounds are detected in the framework of the university environmental monitoring project. The existing models as well as the existing city monitoring system do not allow to obtain quite reliable results when forecasting the atmospheric pollution in campus^ they are not oriented on the registration of such local effects, despite the Moscow monitoring system is quite optimal developed [2-4]. Thus, the models of distribution of various contaminants have been developed for the worst meteorological conditions to detect the maximum risk levels for the campus area. Also, the hydrocarbon pollution of soils has been measured and evaluated to understand the mechanisms of the accumulation atmospheric pollutions in the contacting media. The models obtained reflect the distribution of the pollutants from the main highways and the most dangerous meteorological conditions able to lead to the exceeding concentrations of the pollutants in the campus atmosphere. Modeling of the distribution of the petroleum hydrocarbons reflect the leading role of the transport pressure in the formation of the general pollution situation in campus. © 2019 International Multidisciplinary Scientific Geoconference. All rights reserved.