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Estimation of annual average soil loss using the Revised Universal Soil Loss Equation (RUSLE) integrated in a Geographical Information System (GIS) of the Esil River basin (ERB), Kazakhstan

  • Research Article - Hydrology
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Abstract

The Revised Universal Soil Loss Equation (RUSLE) has enormous potential for integrating remote sensing and Geographical Information System (GIS) technologies for producing accurate and inexpensive assessments of soil erosion. In this study, the RUSLE method was applied to the Esil (Ishim) River basin (ERB), which is situated in Northern and Central Kazakhstan. The northern part of the ERB extends through the Tyumen and Omsk regions of the Russian Federation to the confluence of the Irtysh River. This article may be of interest to experts and specialists in the field of agriculture, as the findings can assist agricultural producers and government entities in making decisions that prevent soil degradation and promote optimal cropping systems for land and crop cultivation. The objective of this research is to detect, estimate and map areas of land plots most vulnerable to potential soil erosion within the ERB, using the RUSLE model under Arc GIS 10.2. The results reveal that average annual soil loss during the study period ranges from 0 to 32 (t y−1) and that 108,007.5 km2 (48%) of the ERB has no erosion. The remainder of the basin is prone to soil erosion ranging from 1 to 32 t ha−1 y−1, which comprises 117,216.9 km2 (52%), and total soil erosion is 565,368.7 (t y−1). Soil erosion in the ERB is relatively moderate due to low hill steepness and low annual precipitation (198–397 mm). Exceptions occur in plots which feature high slope length steepness, which are scattered throughout the region.

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Acknowledgements

This study was financially supported by the Chinese Academy of Science (CAS) and the World Academy of Science for the Developing World (TWAS) Presidents Fellowship program for international Ph.D. students (Awardee of 2016 CAS-TWAS Presidents fellowship), together with the Strategic Priority Research Program of the Chinese Academy of Sciences, Grant No. XDA19030204.

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Authors and Affiliations

  1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, 830011, China

    Yerbolat Mukanov, Yaning Chen, Amobichukwu Chukwudi Amanambu & Gonghuan Fang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Yerbolat Mukanov & Amobichukwu Chukwudi Amanambu

  3. Regional State Enterprise Kazhydromet, Astana, 010000, Kazakhstan

    Yerbolat Mukanov, Ainura Abenova & Nurlan Abayev

  4. Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan

    Yerbolat Mukanov & Gulnura Issanova

  5. Institute of Geography, Astana, 010000, Kazakhstan

    Saken Baisholanov

  6. Department of Geography, University of Florida, Gainesville, USA

    Amobichukwu Chukwudi Amanambu

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Mukanov, Y., Chen, Y., Baisholanov, S. et al. Estimation of annual average soil loss using the Revised Universal Soil Loss Equation (RUSLE) integrated in a Geographical Information System (GIS) of the Esil River basin (ERB), Kazakhstan. Acta Geophys. 67, 921–938 (2019). https://doi.org/10.1007/s11600-019-00288-0

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