Viacheslav Paramonov

The purpose of this study is to develop and test geoinformation services for making operational decisions aimed at reducing the health risk to the population when smoke from wildfires is exposed near populated areas and at a considerable distance. Processing services implement spatial analysis methods. The computational models are implemented on the JupyterHub interactive computing platform provided by the infrastructure. That technology was tested on the example of areas the Baikal region in the Republic of Buryatia during periods of significant smoke contamination of the territory associated with local mass fires and remote at 1000–2500 km. The assessment modeling results are presented in the form of thematic interactive maps that change depending on the filtering of results by various criteria, graphs, and tables. A digital environment has been developed that allows one to quickly upload primary data, present it in various schemes, carry out calculations, and obtain information about harmful substances in the air. The calculation methodology is presented as a set of services and Jupyter documents. Visualization of the results of assessing the potential and realized risk in the form of multilayer maps makes it possible to quickly identify the areas of greatest danger. In the Baikal region, the probability of respiratory symptoms associated with air pollution was CO 27.4% and total matter particles 6.7% of the number of exposed.

Tables are widely used to present related data in various formats and media. In particular, an immense number of HTML tables can be found on web pages. These tables serve as a valuable source of data for applications such as web mining, question-answering systems, and knowledge base development. However, not all HTML tables contain actual relational data. Many of them are used primarily for layout and navigation purposes. On the other hand, genuine tables may have different layouts, formatting, and content. One of the challenges in extracting data from web tables is to identify the main functional and layout types and properties of the tables that are commonly found on the internet. Currently, we have a wide range of taxonomies that classify table types and their properties. These taxonomies can be used to categorize tables and select the appropriate method for processing tabular data based on their specific type. Although the existing taxonomies provide a variety of table types, they often use confusing terminology. This paper aims to provide an overview of these taxonomies by aligning their terminology and comparing them in a qualitative manner.

Baikal Natural Territory (BNT) is the territory that adjacent to Lake Baikal, which is a unique natural object and, in accordance with the UNESCO Convention, a "World Natural Heritage". Baikal is in the central part of the Baikal Rift Zone (BRZ) – the most active seismic zone located in the middle of Russia. The development of the BRZ leads to the emergence of dangerous geological processes that can lead to a violation of the balance in the Lake Baikal ecological system and the surrounding area. In addition, these processes and phenomena pose a real threat to the smooth functioning of mainline communications, hydroelectric power plants and strategically important industries in the region, which, according to the classification of the Ministry of Emergency Situations of Russia, belongs to the first category of danger. To ensure systematic monitoring and forecasting of the environmental situation of the BNT, systematic observations are organized, as well as obtaining and analysing information about the activity of hazardous geological processes in digital form. The digital transformation of monitoring of hazardous geological processes, resulting from the digitalization of processes and the development of appropriate infrastructure, provides the possibility of using new models and methods, more flexible approaches to the analysis of ongoing processes and the prediction of possible extreme events. In this paper, a digital platform is proposed that provides support for the digital transformation of the monitoring of hazardous geological processes using the example of BNT. The platform under consideration may be used for ecological monitoring of BNT area.