Document Type : Research Paper
Authors
1
1Assistant Professor, Department of Soil Conservation and Watershed Management Research, Khuzestan Agricultural and Natural Resource Research Center, Agricultural Research, Education and Extension Organization, Ahvaz, Iran.
2
Department of Soil and water Conservation. Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
3
Department of Soil Conservation and Watershed Management Research, Kerman Agricultural and Natural Resource Research Center, Agricultural Research, Education and ExtensionOrganization, Kerman, Iran.
Abstract
Nowadays, gully erosion has attracted the attention of different researchers due to the widespread destruction it causes in different climates of the world. In this study, the gullies in Sarab Halil watershed located in Kerman province were identified using field surveys and Google Earth and gullies distribution map with 79 gullies was obtained. In this study, 15 layers of information in the study area were obtained. Considering the overall average of each morphometric factor across all classes, the research results showed that the average uncertainty function or final weight in the shadow and light analysis information layer is 0.5, in the slope aspect information layer is 0.778, in the convex index information layer is 0.5, in the curvature information layer is 0.333, in the curvature classification information layer is 0.333, in the elevation information layer is 0.6, in the length-slope information layer is 0.6, in the slope curvature information layer is 0.333, in the profile curvature information layer is 0.333, in the slope information layer is 0.6, in the stream power information layer is 0.6, in the land surface texture information layer is 0.5, in the watershed area information layer is 0.5, in the topographic moisture information layer is 0.5, and in the vertical distance from the stream information layer is 0.5. Therefore, the information layers of curvature, slope curvature, and curvature profile, as well as curvature classification, equally have the lowest average uncertainty among morphometric factors, while the slope information layer has the highest average uncertainty among morphometric factors.
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