SPATIAL ESTIMATION OF SOIL EROSION USING GEOSPATIAL TECHNIQUE - A CASE STUDY OF JANJEVA RIVER CATCHMENT (KOSOVO)

被引:0
|
作者
Bytyqi, Valbon [1 ]
Agaj, Tropike [2 ]
机构
[1] Univ Pristina, Dept Geog, FMNS, Pristina, Kosovo
[2] Poznan Univ Life Sci, Poznan, Poland
关键词
land degradation; soil erosion; RUSLE model; input factors; Janjeva River catchment; Kosovo; PRECIPITATION DATA; LOSS EQUATION; LENGTH; BASIN; RUSLE; WATER; RISK; GIS;
D O I
10.26471/cjees/2024/019/294
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of the study is to analyse the spatial estimation of soil erosion in a small size river catchment of Janjeva (Kosovo). Soil erosion is becoming a serious threat and its spatial estimation is crucial for soil resource protection and management. The Revised Universal Soil Loss Equation (RUSLE) methodology integrated with GIS techniques was applied to estimate the annual erosion rate. Different datasets including open-source data were used to find main components of soil erosion. The results show different soil erosion classes depending on lithological settings, landforms, climate conditions, soil properties, land cover and soil conservation practices. By calculating RUSLE parameters for Janjeva River catchment (84 km(2)), we found out that mean annual erosion rate is 1 t<middle dot>ha-(1)<middle dot>yr-(1). Erosion rate class <5 t<middle dot>ha-(1)<middle dot>yr-(1) dominates the catchment's area with 92.5%, while other classes have 7.5% of catchments total area. Highest rates of soil erosion are found in volcanic rocks, steep slopes and soils without conservation practices. Soils located in western part of the catchment with adequate conservation practice have minimum erosion rate.
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页数:12
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