<p>Wind speed modeling on microscale can be important not only for local authorities but also for citizens.  Due to the heterogeneity of urban development in the Moscow region, wind gusts geography and thermal comfort conditions at different points in the same territory will differ noticeably with the same meteorological parameters. Thus, it is necessary to study such parameters  at the microscale. Therefore, within the framework of this study, in order to inform the public about the negative impact of the weather, and further to minimize the consequences on the human body, an attempt was made to develop an operational system for predicting dangerous conditions  of wind gusts and  thermal comfort.</p><p>In order to collect climate statistics, climate data were calculated for comfort conditions for the MSU campus using the RayMan model. Wind gusts modeling was performed using ENVI-MET model.   Therefore, it is possible to analyze the changes in biometric conditions and wind speed in recent years and track trends in various locations.</p><p>Since the input parameters for the RayMan diagnostic model, which processes only text documents, serve as predictive data for the Canadian GEM global meteorological parameters in grib2 format, a program for converting files using Command.exe and Fortran-90 language allowed us to create an online module for predicting biometric indices (UTCI, PET and mPET).</p><p>For the convenience of perception of information, the results of calculations are visualized on the basis of Yandex maps.</p><p>Research was supported by the grant program of Russian Foundation of Basic Research (project no. 19-35-70009 mol_a_mos ). The work of Pavel Konstantinov, Elizaveta Nikolaeva and Sergey Bukin was supported by Russian Science Foundation (project no. 19-77-30012)</p>

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This study is primarily based on the goal to make a model of the MSU campus to investigate wind speed distribution. As a case study, a squall event on the 29th of May 2017 is chosen. The event caused human casualties, which required much research. To validate the results, they have to be tested for their stability. In this work this goal is met by varying wind directions. Later the wind maps were achieved as the results were overlaid to reflect the variability of the wind speed distribution. Moreover, the results of this work are possible dangerous areas of a campus which can be obtained as a result of simulating hazardous wind speeds. The wind directions are varied to match 4 primary directions. The heights of interest are chosen to be 1.5 m and 12.5 m, they represent the pedestrian level and the level of half the average tree height, respectively. The simulation software used is ENVI-met. This work shows whether this software is suitable for modeling hazardous events, how stable the results are, and whether the new user is able to successfully use the possibilities offered by ENVI-met to achieve the needed goals. With the results of simulations for stability tests and dangerous area outlining, spatial distributions of the wind speed are analyzed both quantitively and qualitatively.

Urban environments are constantly growing, as a result of which natural surface covers are replaced by artificial materials. These changes have a strong impact on the wind fields in these urban environments, changing speeds and directions of wind flows. The aim of this study is to assess the effects of various tree parameters on the behaviour of wind flows in an urban environment. The EnviMet software package is used to model wind fields. The study is conducted in the city of Moscow on the RUDN University campus. Ten different kinds of trees are identified with characteristics such as tree height, crown width, trunk height, and the LAD (Leaf Area Density) index. For these species, a similar analysis is carried out to assess their impact on the wind field. The height of the trunk has a significant effect on the wind field at the pedestrian level; depending on the parameter, the wind speed and the area of wind gusts increase. Large crowns create a protective barrier, reducing wind activity. At the same time, a high LAD index creates low wind permeability, as a result of which the wind flows are refracted, and dangerous zones arise. On the other hand, a high LAD index reduces the area of wind gusts.