Картирование и морфометрический анализ внутреннего пространства Западного Бельского городища
The book is the collection of papers on history, archaeology and art critics of North-West Russia and Baltic area.
This article discusses features of the management system of hidden hard to reach populations. For a basis of modeling of management process the hidden hard to reach groups of the population took group of consumers of injecting drugs. The main problem which the system has to solve it is deter-mination of number of consumers of injecting drugs, development of operating influences and as-sessment of the situation in the controlled environment. For the solution of these tasks mathematical methods, cognitive modeling and the device of fuzzy logic are used.
Information in the SGEM 2017 Conference Proceedings is subject to change without notice. No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical, for any purpose, without the express written permission of the International Scientific Council of SGEM.
The book describes field research (archaeological anthropological, etc.) conducted in different years with financial support of the Russian Humanitairan Foundation.
For the first time spatio-temporal characteristics of air pollution by sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon dioxide (CO2), carbon monoxide (CO) and aerosol over Ukraine and Europe are established. It was shown that moderate risks of air pollution by sulfur dioxide of eastern and western parts of Ukraine relate as 2:1. It was shown that values of moderate and high risks of European areas most polluted by aerosol (except the north of Italy) and Ukraine (Kyiv, Donetsk and Odessa regions) are approximately related as 1:1. Moderate levels of risks for Kiev, Donetsk and Odessa regions relate to moderate risk levels of other Ukrainian regions as 1.8:1. The maximum risk value of moderate pollution by nitrogen dioxide of the atmosphere of Europe and Ukraine relate as 3:1. The analysis of concentration dynamics of carbon dioxide for atmosphere of the whole earth for the last 8 years (2004–2011) revealed the increase for more than 20 ppm. It is shown that the atmosphere of Ukraine exposed to the same level of carbon monoxide pollution, as the atmosphere of other European countries.
The use of hybrid intelligent systems (HIS), working on the basis of combining several me-thods of representation and processing of knowledge, allows solving complex tasks, compared with intelligent systems that use a single method for solving the same problems. The use of the new com-bined approach to predict infectious disease and planning of preventive interventions is extremely important.
The archives of measurements at a network of stations of Roshydromet stocks of available water capacity and satellite measurements of relative soil moisture topsoil according with the instrument ASCAT (MetOp satellites) were used. The estimation of the statistical structure of the fields of available water capacity in the upper 10- and 20-cm soil layers, correlations were found between the data of remote sensing (RS) data and agrometeorological stations. Developed procedure for automated pre-control ground-based measurements. The algorithm is statistically optimal transform of remote sensing data in estimating the amount of moisture in the upper soil layer.
To date, all remote sensing data are represented and stored as temporal sequences of separate “snapshots” – rasters or grids. This makes impossible to quickly obtain a time series of a variable values for the full available period for a region of a coordinate grid. Trend research – one of the most important topics in Earth science – becomes extremely complex and time consuming. This paper proposes an alternative data representation and corresponding storage technique. The data are represented as a collection of individual time series, one per each grid cell or raster pixel. New storage layout enables any time series to be always readily accessible. This approach considerably facilitates the application of existing time series techniques to remote sensing, climate reanalysis and similar data as well as provides new research and development opportunities not available before.
For the first time, using satellite Earth remote sensing data, the maps of air pollution risks by nitrogen dioxide (NO2) over the territory of Europe with spatial resolution of 0.25º×0.25º (approximately 27.5 km × 18 km for the 48º latitude) were created. The suggested risk calculation technique is simple yet delivers extensive understanding of typical air pollution character. It is shown that the highest risks of air pollution by nitrogen dioxide in Europe are observed over Germany, Belgium, Netherlands and southern part of the North Sea as well as over large cities.