Geodynamics

Burshtynska, Kh. V.; Babushka, A. V.; Bubniak, Іhor; Babiy, L. V.; Tretyak, S.

doi:10.23939/jgd2019.02.024

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…Several thematic studies have used a one-dimensional model to demonstrate its capabilities for analyzing floods. The distance between cross-sections, the selection of a river's cross-section profile, and the influence of vegetation in riparian areas have been investigated [15,16].…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Main Factors on the Accuracy of Hydrological Modelling of Flooded Lands

Burshtynska,

Zayats,

Halochkin

et al. 2023

Water

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This paper proposes a general methodological approach to hydrological modeling for determining the areas of flooded land in the plain part of the Dniester riverbed, the second largest river in Ukraine. The purpose of the study is the selection of parameters for modeling flooded zones in the plain section of the Dniester riverbed, taking into account the rising water level caused by the freshet that occurred in the western part of Ukraine on 22–24 June 2020. The proposed study examines the workflow of hydrological modeling of the flooded land zone and the main components of this scheme: the construction of the DTM, considering the roughness of the riparian territory by Manning’s coefficients, and indications of water rise. In the experiment, the influence of DTM reproduction resolution and Manning coefficients was analyzed, and their optimal values were selected, which allowed obtaining the parameters of hydrological modeling with a higher probability. The identified flooding areas were tested using a high-resolution space image during the flood in June 2020. The distance between the profiles affects not only the value of the modeling area but also their detail. The accuracy of the modeled flooded area is 5.1% for a 5 m interval between the profiles, 6.9% for 50 m, 8.2% for 100 m, and 10.8% for 200 m. These results allow determining the degree of influence of the distance between intervals on the modeling accuracy. Using different values of Manning’s coefficients for individual sections with different bedding surfaces and the selected spacing between profiles, which was 50 m, the accuracy of the modeling was investigated. After the modelling, the simulated flood areas were obtained in vector form, which allows for determining their areas and comparing them with the test flooded area. In the presented research, the RMSE of determining the flooded areas is about 5%. The test area of 600.6 hectares was determined with an accuracy of 0.8%.

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Section: Introductionmentioning

confidence: 99%

The Influence of the Main Factors on the Accuracy of Hydrological Modelling of Flooded Lands

Burshtynska,

Zayats,

Halochkin

et al. 2023

Water

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Monitoring Seismotectonic Processes in the Transcarpathian Inner Trough Based on the Results of Complex Geophysical Observations

Ihnatyshyn¹,

Malytskyy²,

Izhak³

et al. 2022

VKNUGEOL

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The article is devoted to the study of relations between the parameter variations of geophysical fields and the geodynamic state of the Transcarpathian Inner Trough. The research aims at studying the relations between the geodynamic state, observed meteorological parameters, and seismic phenomena in the Transcarpathian Inner Trough. Exploration target: seismotectonic processes in the region based on the results of monitoring geophysical fields. The scope of research includes the spatiotemporal distribution of local seismicity, modern lateral movements of the Earth's crust in the Oaș deep-seated fault area, precipitation parameter variations, water level in the Tysa River in 2019–2020. Research methodology presupposes the use of dynamic characteristics of modern lateral movements of the Earth's crust, spatiotemporal distribution of local earthquakes, observation of precipitation, as well as the comparison of heavy precipitation intervals with periods of seismic intensification. The research uses data obtained in the course of monitoring geophysical observations in the Transcarpathian Inner Trough area, especially at monitoring geophysical stations of the Seismicity Department of the Carpathian region of S.I. Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine. The data on the movements of the Earth's crust have been obtained at "Korolevo" strainmeter station. The results are significant to study the possible occurrence of local seismicity in the region and to settle the issue of seismically hazardous territories, as well as prediction of seismically hazardous phenomena in the future. The research studies the relation between the dynamic characteristics of modern lateral movements of the Earth's crust in the central part of the Transcarpathian Inner Trough and local seismicity in periods of intensive precipitation. The authors studied the relations between precipitation parameter variations and spatiotemporal distribution of local seismicity in 2019–2020. The analysis of spatiotemporal distribution of local seismicity and precipitation parameter variations in 2020 testifies to a high correlation of geophysical data series: increased amounts of precipitation are accompanied by an increased number of registered local earthquakes in the region; the hydrological aspect of seismotectonic processes in the Transcarpathian Inner Trough has been substantiated. In 2020 rock compression could be observed in the Oaș deep-seated fault area.

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Geodesy, Cartography and Aerial Photography

Burshtynska¹,

Mazur²,

Halochkin³

et al. 2022

ISTCGCAP

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The aim of the work is to investigate the accuracy of the DEM of nearshore areas using UAV material. One of the important issues in hydrological flood modelling is the high accuracy of the DEM. In the case of a complex relief type, which is associated with meandering riverbeds, it is proposed to use UAV surveys to create a DEM. Hydrological modelling involves the following main steps: creation of high precision DEMs, determination of Manning coefficients to account for the influence of the underlying surface and determination of water level changes based on the water level graph derived from observations at hydrometeorological stations. This research presents the construction of a high-precision DEM, based on a UAV survey. For high-precision modeling, the fundamental issue is the consideration of vegetation in the nearshore areas and the choice of the optimal time period for the survey. The aim of the study is to develop a methodology for the construction of a high-precision DEM from UAV data, investigate the possibilities of eliminating the influence of vegetation on point marks using software methods, determine planned channel shifts and compare the accuracy of DEM construction for surveys conducted in June 2017 and in November 2021. The section at the transition from the mountainous to marshy-hilly part of the Dniester River near the town of Stary Sambir, with complex morphometric and hydrological characteristics of the channel and banks at the site of the complex meandering of the river in a rugged ravine area was the study object of this work. Results. It was found that for 4 years between two surveys, the planned displacements of some points are up to 25-31 meters. A priori estimation of coordinates determination by points from the GNSS-receiver was carried out, the accuracy of point coordinates determination is 2-3 cm. The a priori estimate of the accuracy of determining the coordinates of points from the input survey data is: for plan coordinates - 4-6 cm for two survey periods, the error in determining the marks of points for different values of the baseline - 21-31 cm. It has been established, that the program methods of accounting of influence of high vegetation do not give the possibility of its full accounting, the average square error, in places of such vegetation makes 0,64 m. Therefore, it is necessary to carry out UAV survey in the leafless period of the year, early spring or late autumn. Scientific novelty consists in the study of the possibility of constructing a high-precision DEM for different types of vegetation from materials obtained from UAVs. The results can be used for hydrological modeling of river channels with complex hydromorphological characteristics.

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Geodynamics

Cited by 8 publications

References 6 publications

The Influence of the Main Factors on the Accuracy of Hydrological Modelling of Flooded Lands

The Influence of the Main Factors on the Accuracy of Hydrological Modelling of Flooded Lands

Monitoring Seismotectonic Processes in the Transcarpathian Inner Trough Based on the Results of Complex Geophysical Observations

Geodesy, Cartography and Aerial Photography

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