Abstract:

This paper presents a digital platform for complex monitoring data of dangerous geodynamic, engineering-geological and hydrogeological processes occurring in the region of intensive nature management of the central ecological zone of the Baikal natural territory (CEZ BNT). The platform is intended for integration and analysis of data coming from several polygons located within the CEZ BPT in order to assess the state of the geological environment and forecasting of hazardous processes manifestation.

The platform is built on a client-server architecture. Storage, processing and analysis of data is carried out on the server, which users can access via the Internet using a web browser. Several data filtering methods (linear frequency, Savitsky-Goley and others), various methods of spectral and wavelet analysis, multifractal and entropy analysis, and spatial data analysis are currently available. The digital platform has been tested on real data.

Abstract:

To analyze heat fluxes, observational data for 1979-2018 were used for the North Atlantic. The spatiotemporal variability of the total heat flux was modeled by a stochastic diffusion process. The coefficients of the stochastic differential equation were estimated by using nonparametric statistics. Previously, the existence and uniqueness of a solution in the strong sense of the stochastic differential equation generated by the constructed diffusion process was proven when Kolmogorov's conditions were met. In this work, the coefficients of the equation were approximated in time by trigonometric polynomials, the amplitudes and phases of which depended on the flow values. Using a given series of 40 years in length from 1979 to 2018, spatial maps and time curves were constructed. The results are shown for 1999 and 2018, and their comparative analysis is also carried out. Numerical calculations were realized on the Lomonosov-2 supercomputer of the Lomonosov Moscow State University.

Abstract: The article considers the issue of algorithms for analysis of spatial data in distributed environments based on the Open Geospatial Consortium standards. Publication of source code is also briefly touched. Emphasis is placed on our understanding of what do we need from client-side of Web-services of spatial data analysis and how the collaboration between user and published data analysis tools can be organized. Preliminary results demonstrates the development of universal client module for data analysis