Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan
Chernykh D. Biryukov R. Bondarovich A. Lubenets L. Pavlenko A. Rakhymbek K. Revenko D. Zhantassova Z.
June 2025Multidisciplinary Digital Publishing Institute (MDPI)
Land
2025#14Issue 6
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.
East Kazakhstan region , ERA-5-land reanalysis , precipitation , soil moisture content , soil texture classes
Text of the article Перейти на текст статьи
Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul, 656038, Russian Federation
Altai State University, Barnaul, 656049, Russian Federation
Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, 070004, Kazakhstan
Astana IT University, Astana, 010000, Kazakhstan
Institute for Water and Environmental Problems
Altai State University
Sarsen Amanzholov East Kazakhstan University
Astana IT University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026