The results of the application of remote sensing data are presented to solve the problem of constructing a highly detailed DEM of floodable part of the river floodplain in order to improve the accuracy of numerical hydrodynamic modeling. Hydrodynamic modeling is necessary to predict the spread of a flood wave and to ensure activities to mitigate the scale of the negative impact of waters in the Amur River basin, which is one of the most flood-prone areas of the Russian Federation. Remote sensing image data acquired from domestic spacecraft "Resurs-P" and "Canopus-V" allowed to fix the actual configuration of the Amur riverbed, and the use of a time series of satellite images together with the results of hydrological monitoring of the water level by the observation network of Roshydromet increased the degree of correctness of reproducing the relief of the floodable part of the river floodplain. The results of the experiment on a model site in the area of the village of Troitskoye (lower course of the Amur River), characterized by minor height changes, allow us to assert that a time series of satellite images, taking into account the results of hydrological monitoring of the water level by the observation network of Roshydromet, can serve as a source of sufficiently detailed information about the relief of the flooded area of the river floodplain of large rivers.

Main river

10.47148/1609-364x-2022-4-28-35

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Mathematical modeling of the climate system “glaciers-ocean-atmosphere” and other natural processes at Pacific Geographical Institute FEB RAS

Tihookeanskaia geografiia (2022)

Anatoly P. Oreshko S. M. Krasnopeyev

10.35735/26870509_2022_12_1

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The System of Spatial Interpretation of Hydrological Information for Automated Information System of Hydrological Monitoring and Data Management of PRIMHYDROMET

2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC) (2018)

S. M. Krasnopeyev Evgeny V. Shulkin S.S. Pashinskiy

The system of spatial interpretation of hydrological and thematic information has been developed. The purpose of the system: spatial interpretation of hydrological and thematic information, predictive results of mathematical modeling of the currents and possible zones of flooding; interaction and data exchange with the program of hydrodynamic modeling of river currents "STREAM_2D"; publication of spatial data using the interoperable geospatial Web services, hourly updating of observed hydrometeorological parameters: water level, consumption of water, precipitation, air temperature.

Hydrometeorology

Thematic map

Hydrological modelling

10.1109/rpc.2018.8482163

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Experience in digital terrain model generation for hydrodynamic modeling in the Amur River basin

Вестник ДВО РАН (2021)

Igor O. Nerov S. M. Krasnopeyev А. Н. Бугаец В. В. Беликов A. V. Glotko

10.37102/0869-7698_2021_220_06_04

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Graph algorithms for calculating the distribution of the Amur tiger tracks in Primorsky Krai

Theoretical and Applied Ecology (2024)

Г. Ш. Цициашвили В. Н. Бочарников S. M. Krasnopeyev M. A. Osipova

The paper analyzes the distribution of the Amur tiger (Panthera tigris altaica) tracks in the Primorsky Krai municipalities according to observations obtained during the one-time winter count organized by the Pacific Institute of Geography of the Far Eastern Branch of the Russian Academy of Sciences in 2005. This task is related to the need to calculate the number of animals based on the tracks of their vital activity. Based on the initial data we form a sample to analyze a set of tracks to identify intersection areas of various tiger habitats in Primorsky Krai. The map of Primorsky Krai municipalities was presented in the form of a planar graph to identify their intersections. A recurrent algorithm for identifying tiger clusters was developed using graph theory methods. According to them, the territory of Primorsky Krai is divided into northern, central, southern and southwestern zones with intersections. The districts of Primorsky Krai included in the designated zones are listed. The total number of tracks in intersecting adjacent zones was counted to identify possible tiger migrations in Primorsky Krai. A quantitative assessment of the degree of intersection of the selected zones by the number of tiger tracks is given. The proposed calculation scheme can be used to clarify and verify the results of modeling the spatial distribution and total population size of the Amur tiger.

Tiger

10.25750/1995-4301-2024-3-020-028

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