Monitor sediment erosion in the Shahroud watershed using phenomenological pproach based on the Revised Universal Soil Loss Equation (RUSLE)

Authors
hossein ajam 1
Mohammad Ali Zanganeh Asadi 2
Mohammad Motamedirad 3
1 .PhD Student of geomorphology Department, Geography Faculty, Hakim Sabzevari University, Sabzevar, Iran.
2 . Professor of Geomorphology Department, Geography Faculty, Hakim Sabzevary University, Sabzevar, Iran.
3 . Assistant Professor of Geography Education Department, Farhangian University,Tehran, Iran.
10.22034/wmji.2025.2050750.1097
Abstract
Phenomenology is a philosophical method introduced by Edmund Husserl in the 20th century. It reveals the essence of phenomena. In this pproach, in addition to objective and tangible data, non-objective and hidden data is also used. To work with the phenomenological method, attention must be paid to the spatial identity and historical memory of the environment under study. The aim of this research is to monitor sediment erosion in the Shahroud watershed using phenomenological pproach. For this purpose, based on the Revised Universal Soil Loss Equation (RUSLE), the mount of soil erosion was calculated in four territorial units. The erosion rates obtained were 12.35 tons per hectare per year for the first territorial unit, 20.55 for the second, 7.7 for the third, 10.74 for the fourth, 19.9 for the entire watershed Then, after determining the maximum erosion rate, the influence of lithology, tectonics, rain erosion, soil erodibility, average slope, slope length, slope degree, gravel, climate, vegetation, human land use, and weather on the erosion of land features was investigated using the phenomenological method. The factors that had the greatest impact were identified. The results of the study show that slope steepness, human use (irrigated agriculture), air temperature, and vegetation cover have the greatest impact on the erosion of the study basin, respectively, and active faults and basin height have not played a significant role in the erosion rate.
Keywords
Empirical estimation
Sedimentation
Spatial identity
Runoff

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