Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/1

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2024 - 20252

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Автор: search.filters.author.Daniyar RakhimovТема: search.filters.subject.driving forces of land use change

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    Тип записи:Публикация,
    Spatiotemporal analysis and identifying the driving forces of land use change in the Abay district (Karagandy Region, Kazakhstan)
    (EDP Sciences, 2024-01-01)
    Onggarbek Alipbeki
    ;
    Pavel Grossul
    ;
    Daniyar Rakhimov
    ;
    Erassyl Aliken
    ;
    Kairat Augambayev
    Land use and cover change (LUCC) affects the nature of human activities in a particular area. Therefore, the manifestation of the driving forces of these changes plays a decisive role. This paper analyses the LULC dynamics of the Abay district of Karagandy oblast from 2016 to 2023. The study’s main objective is to find the driving forces of land use based on the integrated assessment of spatio-temporal data (STD) and socio-economic, climatic and environmental indicators (SECEI). Classification of Sentinel- 2 images into LULC classes is carried out using the Random Forest (RF) algorithm on the Google Earth Engine (GEE) platform. The driving factors were assessed using principal component analysis (PCA) and linear regression (LR). The results obtained can be used to guide the development planning of the territory.
    Цитирования (OpenAlex) 1
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    Ecosystem Health Assessment of the Zerendy District, Kazakhstan
    (Multidisciplinary Digital Publishing Institute, 2025-01-02)
    Onggarbek Alipbeki
    ;
    Pavel Grossul
    ;
    Daniyar Rakhimov
    ;
    Przemysław Kupidura
    ;
    Chaimgul Alipbekova
    An ecosystem health assessment (EHA) is essential for comprehensively improving the ecological environment and socio-economic conditions, thereby promoting the sustainable development of a specific area. Most previous EHA studies have focused on urbanized regions, paying insufficient attention to rural areas with urban enclaves and national natural parks. This study employed the Basic Pressure–State–Response methodological approach. The composition of indicators (35) encompassed both spatiotemporal data and socio-economic information. The random forest algorithm was used on the Google Earth Engine platform to classify and evaluate changes in land use and land cover (LULC). In addition, weighting coefficients were calculated, and driving factors were subsequently identified. The analysis revealed that the rural administrative divisions in the central part of Zerendy district, where the city of Kokshetau is situated, exhibited a relatively low level of ecosystem health (EH). The southwestern rural administrative divisions of the studied district, where the national nature park and the reserve territories are located, exhibited a higher level of EH. Other rural administrative divisions located in the eastern parts of the district generally exhibited a moderate level of EH. Interested managers can use the results of our assessment to implement adequate measures aimed at improving the health of the Zerendy district ecosystem.
    Цитирования (OpenAlex) 5Цитирования (OpenCitations) 3