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The article discusses the results of the analysis of the hydrological input data for the Siberian river runoff model for the XXI century. The data of the INM, CRNM, GFDL, MIROC5, and HadGEM models of the RCP 8.5 scenario of the CMIP5 IPCC Project were used for the analysis. The results show the positive trend for the data for all the models. The data were used for the calculations of the Siberian rivers runoff to the Arctic Ocean. The calculation also gives the positive trend in accordance with the data with some differences in the values.

Model estimates of black carbon (BC) air concentrations were made for some Arctic points under extreme wildfires in Russia during summertimes of 2010 and 2012. The initial information on monthly burned areas by fires on the territories of Russian administrative units through 2000-2013 were taken from the official site of Federal Forestry Agency of RF (Rosleshoz). These data were converted in BC atmospheric emissions taking into account differences in flora and fire types. Atmospheric BC concentrations in the Arctic were calculated with the help of back-trajectory statistics for five arctic points situated on Kola Peninsula, in the south-east of Arkhangelsk area, and at Nenetsky, Gydansky, Ust’-Lensky Nature Reserves. Specific circulation conditions in the atmosphere accompanying extreme fires can decrease transport efficiency from fire territories to the Arctic points. BC air concentrations are minimal in the north-western areas of European Russia and near Ust’-Lensky Nature Reserve. The region near Nenetsky Nature Reserve (in the north-eastern part of Europe) is polluted by BC from fires maximally. At the same time, the north-western areas of Siberia are mainly polluted by BC from anthropogenic emissions. Intense wildfires in Siberia and Yakutiya can increase BC air concentrations in summertime in the North of the Asian part of Russia. The results of the work may be used as qualitative estimates in comparative climatic or ecological analysis for different arctic regions.

Continuous sampling of aerosols is carryed out on the NW coast of the Kandalaksha Bay of the White Sea. Aerosol matter from 30 filters collected in summer and autumn 2013 and in spring 2014 was studied by scanning electron microscopy. Elemental composition of aerosol matter was determined by inductively-coupled plasma mass-spectrometry (ICP-MS). The major part of aerosol particles collected in summer is of biogenic origin. Heavy metal concentrations in aerosols are on the Arctic background level. The distribution of trace element concentrations is characterized by simultaneous peaks of different elements. Backward trajectory analysis shows increasing of Ni and Cu concentrations corresponding to air masses coming from western part of the Kola Peninsula. That suggests influence of smelters.

Surface ozone sources and factors forming anomalous ozone concentration are discussed. The relations between elevated surface ozone concentrations, air temperature, and wind speed in planetary boundary layer are studied using data from Moscow, its environments and more far territories, Black Sea coast, foreign air quality stations. Impacts of advection of ozone and its precursors on ozone levels are shown. Studies of factors causing ozone episodes and reasons of below-average ozone concentrations under meteorological conditions, favorable for photochemical ozone production, are the base for interpretation and correction of ozone forecasting from chemistry-transport models.

The experimental investigation results of chemical and fractional composition of non-volatil matter in size ranges from 10 to 1100 nm for combustion products are presented. Researches were performed at high performance test bench for civil aviation engines combustors tests using dedicated equipment for real-time fractional composition measurements. Composition analysis of probes collected on filter was performed in laboratory way.

This paper is devoted to studying the thermal diffusion of nanoparticles in dense gases and liquids by the method of molecular dynamics with Rudyak-Krasnolutskii nanoparticle-molecule potential and Rudyak-Krasnolutskii-Ivanov nanoparticle-nanoparticle potential. Thermal diffusion and binary diffusion coefficients were calculated with the help of the fluctuation-dissipation theorem. Nanofluids simulated consisted of argon as а carrier medium and aluminum nanoparticles. Dependences of the thermal diffusion and Soret coefficients of nanoparticles on their diameter and volume concentration were obtained. For small diameter nanoparticles (1-4 nm) thermal diffusion coefficient showed a significant dependence on their size.

We examine the parameterizations of a turbulent friction velocity u _* for the mathematical heat-island model of the low-aspect-ratio in the stratified environment. This study was performed to simulate the urban heat island in a calm stably stratified medium with the thermophysics inhomogeneity of the underlying surface: the unstable stratification over the localized surface heat source and the stable stratification out of it [1]. The numerical results of u _* are presented with the of use the Louis’s and Paulson’s non-iteration algorithms for the quasi-steady circulation over the urban heat island.

This paper presents data characterizing the changes of waters chemical composition in the Southern Baikal for 20-year period of observations impacted by precipitations with high content of pollutants. Levels of acidic components accumulation in the snow cover of river basins are calculated. Resistance of river waters to acidification at different levels of acidic charge is determined for each water flow.

The composition of surface compounds desorbing in darkness and under irradiation from microparticles of precipitated aerosol Ca(OH)₂ without calcium carbonate were investigated. The quantum yield quantities and its spectral dependencies for the photodesorption from aerosol microparticles and the oxygen photoadsoption were determined.

For timely assessment of the ecological status of hard wetlands in Western Siberia, methods for measuring and mapping the thermal anomalies (torches, fires, burning) of oil-producing territories are developed on the basis of satellite data.