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The Long-Term Prediction of Landslide Processes within the Precarpathian Depression of the Cernivtsi Region of Ukraine

Hablovskyi Bohdan, Hablovska Nadiia, Shtohryn Liudmyla, Kasiyanchuk Dmytro, Kononenko Maryna

Journal of Ecological Engineering

2023

Vol. 24, nr 7

254--262

The purpose of this publication was the long-term forecasting of the landslide processes activation for the territory of the Precarpathian depression within the Chernivtsi region, taking into account the complex effect of natural factors. On the basis of statistical analysis and processing of long-term observations of landslide activation and natural time factors in particular solar activity, seismicity, groundwater levels, precipitation and air temperature, the relationship was analysed, the main periods of landslide activation were determined, the contribution of each time factor to the complex probability indicator of landslide development was estimated and long-term forecasting was carried out. An analysis of the influence of geomorphology on the landslide development was performed by using GIS MapІnfo. By means of cross-correlation, Fourier spectral analysis, the periodicities were analysed and the relationships between the parameters were established. It was found that the energy of earthquakes precedes the activation of landslides by 1 year, which indicates the “preparatory” effect of earthquakes as a factor that reduces the stability of rocks. The main periodicities of the forecast parameters of 9–11, 19–21, 28–31 years were highlighted, which are consistent with the rhythms of solar activity. The forecasting was carried out using artificial neural networks and the prediction function of the Mathematical package Mathcad, based on the received data, the activation of landslides is expected in 2023–2026, 2030–2035, 2040–2044 with some short periods of calm. The main periods of the dynamics of the time series of landslides and natural factors for the territory of the Precarpathian depression within the Chernivtsi region were determined, and a long-term forecast of landslides was made. Taking into account the large areas of the spread of landslide processes, forecasting the likely activation is an important issue for this region, the constructed predictive time models make it possible to assess the danger of the geological environment for the purpose of early warning and making management decisions aimed at reducing the consequences of a natural disaster.

Research of Data Sequences of Groundwater Levels with Gaps

Tymkiv Mariia, Kasiyanchuk Dmytro

Journal of Ecological Engineering

2019

Vol. 20, nr 3

141--151

Investigating the regime of groundwater levels is one of the main stages of hydrogeological research, which allows quantitative characterization of the process of formation and change of hydrogeological conditions in time. To date, there has been a problem in filling the series of groundwater levels (GWLs) that have gaps. During the formation of time series of data, there are usually gaps in connection with the change in the technique of observing the GWL, the untimely filling of data rows, the lack of the ability to conduct such observations, and others like that. However, it is not possible to completely exclude rows with spaces, as this may lead to inaccurate data while developing forecast and constructing predictive maps of groundwater levels. Therefore, the task is to compare the existing methods of filling the data series with spaces in order to choose the optimum for further work, with their practical verification.