Перегляд за Автор "Havryliuk, Ruslan"

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    Assessment of environmental pollution resulting from the destruction of civilian petroleum storage facilities during military operations
    (КПІ ім. Ігоря Сікорського, 2025) Havryliuk, Ruslan; Nasiedkin, Yevhen; Lohvynenko, Olha; Ivanova, Ganna; Žaržojus, Gintaras; Samalavičius, Vytautas; Lekstutytė, Ieva
    The publication examines a topical issue related to the impact of military actions on the state of one of the fundamental components of the environment – the soil layer both within the aeration zone and the collectors of the first aquifers from the surface. The massive destruction of oil processing and storage facilities in Ukraine caused by Russian aggression, not only on the battle lines but also deep in the rear, creates a significant long-term danger to environmental components and human economic activity. At one of the technogenic disaster sites destroyed by Russian missiles (oil depot in urban settlement Kalynovka, Kyiv region) specialists from the IGS of NAS of Ukraine have begun practical and theoretical work to create a methodological basis for assessing the impact of pollution on the environment and develop measures to minimize such impact.
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    Integrated methodology for tracing oil slicks using Sentinel-1 and Sentinel-2 data: backward modelling, meteorological correction, and visualization analysis
    (КПІ ім. Ігоря Сікорського, 2025) Balinskyy, Vladyslav; Havryliuk, Ruslan; Hulevets, Vitalii; Timofti, Mihaela
    Modern satellite systems such as Sentinel-1 (SAR) and Sentinel-2 (optical spectrum) offer valuable tools for detecting the spatial morphology of marine pollution, including dark cores on SAR images that indicate thin surface films or emulsified oil layers. Unlike traditional spill detection, locating the underwater pollution source requires backward trajectory analysis accounting for wind and hydrodynamic conditions. This study presents an integrated methodology for backward tracing of oil slicks, combining satellite image analysis, vertical particle rise modeling, and drift vector correction using Meteoblue data. Special attention is given to the comparative evaluation of EO Browser visualization scripts used to enhance the detection of surface films and improve signal-tonoise ratios on Sentinel-1 and Sentinel-2 images. The method was tested using the case of the "Volgoneft" tanker incident in the northwestern Black Sea (December 2024). The results demonstrate the applicability of this approach for operational source localization under conditions of limited visibility, complex geopolitics, or military conflict.