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Machine learningestimation of rockmasses displacement Kukartsev V.V.Kleshko I.I.Dalisova N.A.2024 год

Machine learning estimation of rock masses displacement
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Machine learning estimation of rock masses displacement : научное издание / V. V. Kukartsev [и др.]. - Текст : непосредственный // E3S Web of Conferences. - 2024. - Т. 583, № . - С. 01009. - ISSN 2555-0403. - ISSN 2267-1242, DOI 10.1051/e3sconf/202458301009.
Аннотация: <jats:p>This paper presents a comprehensive analysis of the factors affecting landslide occurrence in Iran based on a dataset containing information on more than 4000 landslide cases. Both natural (slope, height, rainfall, distance to rivers and faults) and anthropogenic (type of land use) factors were studied. A random forest model was used to predict landslide risk and assess the significance of various factors. The results show that the most significant factors are terrain slope, elevation and distance to water bodies and tectonic faults. These findings can be used to develop preventive measures and improve landslide risk management strategies in the region.</jats:p>
Год издания: 2024
Авторы: Kukartsev V.V., Kleshko I.I., Dalisova N.A., Khramkov V.V.
Издательство: EDP Sciences - Web of Conferences, Les Ulis
Источник: E3S Web of Conferences
Выпуск: Т. 583
Номера страниц: 01009
Количество экземпляров:
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