The Calculation and Mapping of the Moisture Indices of the East Kazakhstan Region for the Preventive Assessment of the Climate–Hydrological Background
Chernykh D. Rakhymbek K. Biryukov R. Bondarovich A. Lubenets L. Baiburin Y.
July 2025Multidisciplinary Digital Publishing Institute (MDPI)
Climate
2025#13Issue 7
The assessment of the hydrological functions of landscapes and the landscape–hydrological background is an important instrument for minimizing damage from rivers and preventing water conflicts under conditions of data scarcity for hydrological modeling. To assess the climate–hydrological background of the East Kazakhstan region, the Selyaninov Hydro-thermal Coefficient and the Vysotsky–Ivanov Moisture Coefficient were used. The East Kazakhstan region is a typical continental arid and semi-arid region. The presence of mountain ranges, such as the Altai, makes the climate and environment in the region highly varied. A dataset from 30 weather stations for the period 1961–2023 was used for calculations. Three interpolation methods and landscape extrapolation were used to construct maps of the coefficients. Over the observation period, the values of the moisture indices at the weather stations in the region fluctuated within a wide range. Both coefficients are in the range from extra arid to extra humid climates.
East Kazakhstan region , landscape–hydrological background , moisture indices , Selyaninov Hydro-thermal Coefficient , Vysotsky–Ivanov Moisture Coefficient , weather station
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Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Barnaul, 656038, Russian Federation
Institute of Biology and Biotechnology, Altai State University, Barnaul, 656049, Russian Federation
Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, 070004, Kazakhstan
Institute of Geography, Altai State University, Barnaul, 656049, Russian Federation
Institute for Water and Environmental Problems
Institute of Biology and Biotechnology
Laboratory of Digital Technologies and Modeling
Institute of Geography
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