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Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan

Author

Listed:
  • Dmitry Chernykh

    (Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul 656038, Russia
    Altai State University, Barnaul 656049, Russia)

  • Roman Biryukov

    (Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul 656038, Russia)

  • Andrey Bondarovich

    (Altai State University, Barnaul 656049, Russia)

  • Lilia Lubenets

    (Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul 656038, Russia)

  • Anatoly Pavlenko

    (Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Kamilla Rakhymbek

    (Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

  • Denis Revenko

    (Astana IT University, Astana 010000, Kazakhstan)

  • Zheniskul Zhantassova

    (Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)

Abstract

The study of the hydrological regimes of rivers in different regions of the globe has revealed the need to include the soil moisture content in flood prediction models. This paper investigates the nature of the dependence of soil moisture content on soil texture in the East Kazakhstan region. Data from ERA-5-land reanalysis, soil maps, hydrogeological maps, and the meteorological data of Kazhydromet were used. The years for analysis were selected due to their different moisture conditions. This study analyzed soil moisture within the root zone (0–28 cm depth). A JavaScript-based algorithm was developed in Google Earth Engine to analyze soil moisture and total precipitation across five Soil Texture Index categories during the growing seasons (April–September) of 2013, 2022, and 2023. Final cartographic processing and spatial distribution analysis were conducted using ESRI ArcGIS Pro 3.3. The study of soil moisture’s relationship with different soil textures in the East Kazakhstan region has revealed several key trends. The maximum values of soil moisture for each texture class change very slightly from year to year. The minimum soil moisture values fluctuate more strongly from year to year. The regression analysis demonstrates a statistically significant relationship between precipitation and soil moisture. The best performance is achieved when using a 1-day lag for 2013 and varying optimal lags for 2022 and 2023 (ranging from 1 to 3 days) during the high-precipitation period (months 6–9), with filtering applied to remove days with negligible rainfall.

Suggested Citation

  • Dmitry Chernykh & Roman Biryukov & Andrey Bondarovich & Lilia Lubenets & Anatoly Pavlenko & Kamilla Rakhymbek & Denis Revenko & Zheniskul Zhantassova, 2025. "Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan," Land, MDPI, vol. 14(6), pages 1-20, May.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1136-:d:1662342
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    References listed on IDEAS

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    1. Yilizhati Aili & Ilyas Nurmemet & Shiqin Li & Xiaobo Lv & Xinru Yu & Aihepa Aihaiti & Yu Qin, 2025. "Retrieval of Soil Moisture in the Yutian Oasis, Northwest China by 3D Feature Space Based on Optical and Radar Remote Sensing Data," Land, MDPI, vol. 14(3), pages 1-29, March.
    2. Hyunje Yang & Hyeonju Yoo & Honggeun Lim & Jaehoon Kim & Hyung Tae Choi, 2021. "Impacts of Soil Properties, Topography, and Environmental Features on Soil Water Holding Capacities (SWHCs) and Their Interrelationships," Land, MDPI, vol. 10(12), pages 1-15, November.
    3. Ming Zhong & Ting Zeng & Tao Jiang & Huan Wu & Xiaohong Chen & Yang Hong, 2021. "A Copula-Based Multivariate Probability Analysis for Flash Flood Risk under the Compound Effect of Soil Moisture and Rainfall," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 83-98, January.
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