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001-es BibID:	BIBFORM102347
035-os BibID:	(cikkazonosító)100560
Első szerző:	Getu, Legese Abebaw
Cím:	Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech watershed, Ethiopia / Legese Abebaw Getu, Attila Nagy, Hailu Kendie Addis
Dátum:	2022
ISSN:	2667-0100
Megjegyzések:	Soil erosion is the most serious problem that affects economic development, food security, and ecosystem services, which is the main concern in Ethiopia. This study focused on quantifying soil erosion rate and severity mapping of the Megech watershed for effective planning and decision-making processes to implement protection measures. The RUSLE model integrated with ArcGIS software was used to accomplish the objectives. The six RUSLE model parameters: erosivity, erodibility, slope length and steepness, cover management, and erosion control practices were used as input parameters to compute the average annual soil loss and identify erosion hotspots in the watershed. The RUSLE estimated a total soil loss of 1,399,210 t yr?1 from the watershed with a mean annual soil loss of 32.84 t ha?1yr?1. The soil erosion rate varied from 0.08 to greater than 500 t ha?1yr?1. A severity map with seven severity classes was created for 27 sub-watersheds: low (below 10), moderate (10?20), high (20?30), very high (30?35), severe (35?40), very severe (40?45) and extremely severe (above 45) in which the values are in ton ha?1yr?1. The area coverage was 6.5%, 11.1%, 8.7%, 22%, 30.9%, 13.4%, and 7.4% for low, moderate, high, very high, severe, very severe, and extremely severe erosion classes, respectively. About 82% of the watershed was found in more than the high-risk category which reflects the need for immediate land management action. This paper could be important for decision-makers to prioritize critical erosion hotspots for comprehensive and sustainable management of the watershed.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Environmental Challenges. - 8 (2022), p. 1-14. -
További szerzők:	Nagy Attila (1982-) (környezetgazdálkodási agrármérnök) Addis, Hailu Kendie
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