Evaluating land degradation by gully erosion through soil erosion indices and rainfall thresholds

Narges Kariminejad, Hamid Reza Pourghasemi (), Mohsen Hosseinalizadeh, Mauro Rossi and Alessandro Mondini
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Narges Kariminejad: Shiraz University
Hamid Reza Pourghasemi: Shiraz University
Mohsen Hosseinalizadeh: Gorgan University of Agricultural Sciences and Natural Resources
Mauro Rossi: Research Institute for Geo-hydrological Protection
Alessandro Mondini: Research Institute for Applied Mathematics and Information Technologies

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 117, issue 3, No 50, 3353-3369

Abstract: Abstract Among the land degradation processes, gully erosion is the one that poses more environmental and societal challenges in arid regions. Predicting spatiotemporal gully development in a region under changing conditions is important to adopt proper mitigation measures. Here we investigate the Ghapan-Olya watershed in Golestan province in Iran, which is affected by many erosional landforms, including gully phenomena. We apply the pixel-based distributed LANDPLANER model to predict where rainfall induced gullies will occur by exploiting input maps including UAV data, the region soil, and seasonal land use information. We compare our topographic thresholds and an erosion index with field observations through the application of quantitative metrics such as sensitivity, specificity, fallout, precision, and recall. Our study reveals that the spatial density of the gully’s location is more frequently predicted in the areas with an altitude of about 200–300 m, steep slope (between 15 and 30 degrees), and low average accumulation value (

Keywords: Gully erosion; LANDPLANER model; Geomorphic analysis; Land use; Erosion index; Topographic threshold (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-023-05990-3

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