Software package Delft3D, supplemented by an ice module, was used to develop a three-dimensional numerical model of thermal processes in the Novosibirsk Reservoir. The results of calculations for 1981 were used to analyze the thermal and ice regime of the reservoir in the annual cycle. The calculated water temperatures were compared with observation data and averaged over the surface, bottom, and middle layers of characteristic regions of the reservoir. The model can be used as a basis for simulating environmental processes and making managerial decisions for optimizing the use of reservoir water resources.

Traditional and model approaches to the prediction of water quality in the Boguchany Reservoir used during the design stage are compared. The predicted water quality in the designed reservoir is compared to the actual observations after its construction. The necessity of calling in modeling experts at the beginning of the reservoir design stage is pointed out.

The development of a space-time approach in modeling to display the spatial (including aquatic, in the case of reservoirs) differentiation of objects of study is important for geography. A model of the aquatic ecosystem has been created to assess the course of eutrophication, one of the main causes of the deterioration of the ecological state of inland and coastal waters. This simulation model makes it possible to analyze and predict long-term trends in the development of hydro biogeocenoses. The model reproduces the main intra-annual and intradaily changes in the ecosystems of reservoirs. The novelty of the study consists of its combination of methods for modeling structural and dynamic processes and cycles of transformation of biogeochemical elements in a spatially heterogeneous ecosystem of the reservoir. For this purpose, the Biogen simulation model is used, on the basis of which it was previously possible to reproduce the long-term trend of eutrophication of the Novosibirsk Reservoir. Changes in water quality under the influence of natural and anthropogenic factors are analyzed and predicted using the example of 1981 data for the abovementioned reservoir. The significant excess of phytoplankton biomass in the deepwater zone with a fast current compared to the shallow lagoon in the central part of the reservoir, which is observed every year, is explained. The reason for the regular excess of phytoplankton biomass at depth compared to the surface layer near the dam of the Novosibirsk Reservoir in August is determined. The ecohydrological mechanism of these cases of unusual spatial distribution of phytoplankton is explained and evaluated. The reaction of the ecosystem to a possible change in the operation mode of the hydropower facility is predicted.

The ecosystem of the Novosibirsk reservoir - the largest in West Siberia, is the object of this research aimed at studying the mechanisms of water quality formation, which differs in various parts of the reservoir. The research novelty is in simulation of ecological processes occurring in various water areas and in the reservoir as a whole through reproduction of biogeochemical cycles of limiting elements. The city of Novosibirsk is the administrative center of the Siberian Federal District, which occupies more than 25% of the territory of Russia. The Novosibirsk reservoir is major source of water supply in Novosibirsk. Still, some features of its water quality formation have been poorly explained. For instance, it is believed that relatively shallow and low flow sites of water bodies are most susceptible to eutrophication. In such places, water warms up better and phytoplankton biomass is much higher. In the central part of the reservoir, depth at the left bank is much less than that at the right one, through which most riverbed flow passes (from the Ob river to the dam). However, according to long-term observations, in every August, phytoplankton biomass at the right bank is several times higher than at the left one. One more paradox may be considered. Phytoplankton biomass in the surface water layer during the open water period is usually much abundant than at depth characterized by worse penetration of solar radiation. Nevertheless, in the studied period (August 1981), we observed the inverse ratio when phytoplankton biomass at depth significantly exceeded that in the surface layer. For better understanding these phenomenon, a comparative assessment of mechanisms of in-water processes was performed through applying 3D simulation methods and reproducing the cycles of biogenic elements transformation. Due to simulation and its results analysis, we revealed the following: * the peculiarities of water exchange influenced by stable wind currents in August-September bring to phytoplankton biomass excess at depth near the right bank in contrast to relatively shallow water area near the left one of the Novosibirsk reservoir; * “locking” by thermocline and subsequent fluctuations in vertical water exchange lead to abundant phytoplankton biomass in the water column as compared to the surface layer near the dam. Thus, simulation demonstrates that the above mentioned paradoxes of phytoplankton development in the Novosibirsk reservoir are induced by specific hydrothermal processes. The study importance goes beyond only giving insight into the causes of interesting natural phenomena. A detailed analysis of simulation results enables to explain nontrivial features of spatially distributed dynamic ecological processes. The possibilities of forecasting the reservoir ecosystem response to changes in different factors associated with varying external effects have been expanded. To mitigate negative impacts of eutrophication, you can change flow patterns at appropriate times, for example, by selecting a suitable operating mode of a hydro-station. The study demonstrates that contaminated water outflow from some water areas may be executed by directional energy use of natural phenomena.

Цель работы — численное моделирование взаимосвязи ресурсов и результатов водоканалов с учетом фактора аварийности. Новым является применение численных методов в задаче снижения аварийности предприятия водокоммунального хозяйства в контексте развития водоканалов. Реализация вычислительной процедуры в решении прикладной задачи демонстрируется на примере водоканалов восьми городов России. При выполнении условия минимальной аварийности только три из восьми рассмотренных предприятий смогли бы повысить эффективность в исследуемый период. Все эти водоканалы (из Воронежа, Чебоксар и Якутска) — со смешанной формой собственности. Точки развития с внешними источниками наиболее эффективны для внешнего инвестирования. На этой стадии развития предприятие максимально результативно преобразует внешние ресурсы в результаты для населения. К этой категории в рассмотренный период 2013-2017 гг. относились два водоканала из восьми: воронежский (2-й и 4-й периоды) и оренбургский (3-й период). Показано, что точка роста и точка развития с внутренними источниками наиболее результативны при использовании собственных ресурсов.

The object of the study is the ecosystem of the largest in Western Siberia — the Novosibirsk reservoir. The aim of the study is forecast the response of hydrobiocenosis on the implementation of different methods for the aquatic ecosystem restoration. Novelty: structural-dynamics modeling of ecological processes based on the reproduction of biogeochemical cycles of limiting elements in the conditions of spatial heterogeneity for the reservoir is performed. A preliminary conclusion is formulating about the main role of autochthonous processes in the eutrophication of the Novosibirsk reservoir. A comparative assessment of the influence for three variants of washing the reservoir with a flood wave on the annual variability of the phytoplankton content and nitrate concentration in three characteristic parts of the Novosibirsk reservoir was carried out.

The prediction of qualitative effects of long-term succession of aquatic organism communities with possible responses of the ecosystem to disturbances of the natural homeostasis becomes possible with the structure of the ecosystem taken into account. Among the possible lines of its development, analyzed is the one that maximizes a thermodynamic characteristic-exergy, which reflects how far the ecosystem stands from the state of "dead" matter. The results of calculations by a modified model of biogeochemical cycles in a series of dry years are in agreement with the expert estimates for the development of eutrophication process in the Novosibirsk reservoir in the recent years. A nonmodified model fails to provide such agreement.

An integrated approach to aquatic ecosystem monitoring is being developed for the Ob river. The novelty of the approach is in transition to high-performance computing (HPC) under processing of remote sensing data and modeling of aquatic ecosystem degradation. Classes of optically complex surface waters of the Gulf of the Kara Sea – the Ob Bay are studied on the basis of the fuzzy cluster analysis of water objects emission. A ten-year dynamics of concentrations of optically active substances was estimated using the neural network simulation. The application of the structural-dynamic model allowed explaining the long-term trend in the development of the ecosystem of the Novosibirsk reservoir, the largest one in the Ob river basin.

For the processing of reference information (for example, from ENSEMBL, GenBank, KEGG), namely: rapid comparison of genomes of organisms in order to discover recurring sets of nucleotides, a special-purpose computer system has been developed. Due to the large amount of data that appears during the processing of the source information, a transition to non-relational databases has been made, as more flexible and scalable. The distributed non-relational DB MongoDB and the algorithm of data processing Winnowing were used as the basis of the approach. When using a non-relational database to identify genetic similarity, was proposed the option of submitting the prints of structural genomic variations in the form of "key-value". The software implementation of the developed model was implemented. Computing experiments were performed: (1) loading data into a database using one and three shards (servers where the data is stored and the information is searched and processed); (2) search for coincidences of genomes with DB of genomes using one and three shards; (3) calculation of the speed of searching for genomes in the database; (4) calculation of the rate of loading of genomes in the database. The result of the experiments was confirmation of the possibility of using the proposed method of searching for genetic similarity, for example, for using in analysis of deviations at the gene level. The continuation of the work can be carried out in the following directions: (1) solving the problem of determining the moment when it is necessary to add a node to the cluster with increasing the number of deviations considered and increasing the number of genomes in the DB of organisms; (2) study of genomic disorders to assess the probability of genetic abnormalities at the at the recognition stage of the potentially possible unfavorable development of the situation.

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The research goal involves model evaluation of agricultural producers’ peculiarities of an administrative district. The research objectives are the following: 1) the creation of information-modeling system of production-economic monitoring of agricultural producers’ activity; 2) the analysis of producers’ activity of the Kulundinskiy District on that methodological basis. Small farming businesses of the District receive about 10% of state support and produce a quarter of total grain production volume of the Kulundinskiy Administrative District. Small farming businesses are leading with important efficiency indicators in the agricultural production of the District. Having such production-economic monitoring tool like Information Monitoring System “RESPAK” it is possible to monitor the effect of different mechanisms of state support on the economic behavior of agricultural commodity producers of various types.

Дягилев Вадим Викторович - аспирант кафедры высшей математики и математического моделирования, естественнонаучный факультет, Алтайский государственный технический университет им. И.И.Ползунова. Адрес: 656038, Алтайский край, Барнаул, пр. Ленина, 46.E-mail: dyagilev@mail.ruЦхай Александр Андреевич - доктор технических наук, профессор, заведующий кафедрой математики и прикладной информатики в экономике, экономический факультет, Алтайская академия экономики и права. Адрес: 656038, Алтайский край, Барнаул, Комсомольский пр., 82.E-mail: taa1956@mail.ruБутаков Сергей Владимирович - кандидат технических наук, доцент кафедры математики и прикладной информатики в экономике, экономический факультет, Алтайская академия экономики и права. Адрес: 656038, Алтайский край, Барнаул, Комсомольский пр., 82.E-mail: sergey.butakov@gmail.comВ работе проанализированы известные подходы к обнаружению текстового плагиата и выявлены потенциальные проблемы, связанные с аутсорсингом поиска схожих документов в сети Интернет. Недостаток существующих систем состоит в том, что организация-контролер, оказывающая услуги по поиску плагиата, должна получить проверяемый документ полностью, что может быть не всегда приемлемо, например, с точки зрения авторского права.На основе проведенного анализа представлена усовершенствованная архитектура системы обнаружения плагиата. Приведены результаты эксперимента, показывающего эффективность предложенного подхода. В предложенном варианте поисковый Интернет-сервис выделен в отдельный модуль, размещаемый на стороне организации-контролера. В отличие от традиционных архитектур предполагается, что контролер вместо проверяемого документа получает только некоторую его часть, содержащую ключевые фразы, которых достаточно для обнаружения идентичных фрагментов текста в сети Интернет. При этом контролер передает обратно только возможные источники заимствования, а детальное сравнение проводится на стороне клиента. Проведенный эксперимент связывает количество текста, заимствованного из документов, размещенных в глобальной сети, с качеством обнаружения плагиата малым числом запросов. Показано, что если объем заимствованного текста из сети Интернет составляет как минимум 5% от всего объема анализируемого на плагиат узкоспециализированного текста, то предложенный подход позволяет обнаруживать идентичные фрагменты по запросам, на основе которых практически невозможно полное восстановление исходного проверяемого текста. Для текстов общей направленности данный минимум несколько выше. В целом предложенный подход позволяет избежать необходимости посылать проверяемый документ организации-контролеру полностью.