DETERMINATION OF EROSION INTENSITY IN BRKA WATERSHED, BOSNIA AND HERZEGOVINA

Risk assessment procedures using modern software and hardware solutions can help decision-makers to recognize sites where forest should not be cut down, certain crops should not be grown or soil conversation measures are necessary. [...]the aim of this research is to estimate the intensity of erosio...

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Veröffentlicht in:Poljoprivreda i šumarstvo 2020-06, Vol.66 (2), p.79-92
Hauptverfasser: Edi KALOPER, Selman, CADRO, Sabrija, UZUNOVIC, Mirza, CHERNI-CADRO, Salwa
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Sprache:eng
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Zusammenfassung:Risk assessment procedures using modern software and hardware solutions can help decision-makers to recognize sites where forest should not be cut down, certain crops should not be grown or soil conversation measures are necessary. [...]the aim of this research is to estimate the intensity of erosion processes in one such watershed in BiH - the Brka watershed, taking into consideration current conditions and using modern hardware and software solutions. According to Lazarević (1985b), as much as 83% of the total area of BiH is threatened by water erosion. [...]a map is essentially a measure for disaster risk reduction (DRR), a systematic approach to identifying, assessing and reducing the risks of disaster (Jamieson, 2016). [...]the main objective of this study was to analyze the basic soil erosion factors and estimate the intensity of erosion processes in the River Brka watershed, taking into consideration current conditions and using modern hardware and software solutions. .4 (6) Where: Ru Coefficient of the retention of sediment O Basin perimeter (km) D Average elevation difference of the basin (km) Ip Length of the main watercourse (km) Dd Density of the river network per basin (km km-2) L Total length of basin watercourse (km) Ia Length of the secondary watercourse (km) The boundary of the basin area was determined using Digital terrain model (DEM: 25 m x 25 m) and Hydrographic network map of BiH; the soil protection coefficient (X) from CORINE 2018 (grid size 100
ISSN:0554-5579
1800-9492
DOI:10.17707/AgricultForest.66.2.08