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Modeling soil
erosion in the Chagan river basin of the west Kazakhstan with using RUSLE and
GIS tools
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T. Darbayeva1,
N. Ramazanova2, B. Chashina2, Zh. Berdenov2*,
E. Mendybayev3, J.A. Wendt4 and E. Atasoy5 ???????
1Department of
Biology and Ecology, West Kazakhstan University (named after M. Utemisov),
Uralsk, L02A8Y0, Kazakhstan
2Department of
Geography, Faculty of Natural Sciences, L.N.Gumilyov Eurasian National
University, Astana, 010009, Kazakhstan
3Department of
Ecology, Faculty of Natural Science, K.Zhubanova Aktobe Regional State
University, Aktobe 120505, Kazakhstan
4Institute of
Geography, Faculty of Oceanography and Geography, Gdansk University, Gdansk,
80309, Poland
5Department of
Primary Education and Social Sciences, Faculty of Education, Bursa Uludag
University, Bursa 16059, Turkey
*Corresponding Author Email : berdenov-z@mail.ru
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Abstract
Aim: The
paper focuses on the soil erosion, which is one of the most important
agricultural problems in Kazakhstan. The aim of the study is to evaluate and
map the erosion-free zone for the preservation of the water reservoir and
quality soils in the Chagan River basin in the region of Western Kazakhstan.
Thanks to this, it will be possible to implement erosion prevention measures.
Methodology: In the study, the RUSLE formula was used to determine
soil erosion to assess and map soil erosion processes in the studied region.
The RUSLE formula has been integrated with the use of GIS includes various
settings. The research presents an algorithm for detecting soil treatment in
the Chagan river basin using geoinformation systems.
Results: The research allowed to assess the soil erosion rate.
The erosion rate on 67% of the area in the Chagan River basin is 0-0.01 tons
ha-1 yr-1, at 23% - 0.1-0.5 tons ha-1 yr-1,
at 5% - 0.5-1% - 2 tons ha-1 yr-1, at 3% - 1.2-2.5 tons
ha-1 yr-1, only 2% of the river basin erosion occurs at
the level of 2.5 to 13 tons ha-1 yr-1.
Interpretation: Based on the trend of annual loss of soil
erodibility in the Chagan River basin, it has identified the need for
preventive and remediation measures in the area. The study showed that GIS
methods allowed accurate definition of spatial distribution of RUSLE
parameters. It is also a simple and cheap tool for soil erosion modelling,
the risk for erosion potential and risk for the hazardous area that can be
difficult to observe on the ground.
Keywords: Geoinformation systems, River basin, RUSLE, Soil
erosion?
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