id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
esrj-95748	Valipour, Mahdieh; Mohseni, Neda; Hosseinzadeh, Seyed Reza 	Factors affecting topographic thresholds in gully erosion occurrence and its management using predictive machine learning models	2022	10	.pdf	application/pdf	7771	375	48	J. Vol. 25, No. 4 (December, 2021): 423-432 G EO LO G Y Record Manuscript received: 13/05/2021 Accepted for publication: 03/11/2021 ABSTRACT Soil degradation induced by gully erosion represents a worldwide problem in the many arid and semi-arid countries, such as Iran. This study assessed: (1) the importance of variables that control gully erosion using the Boruta algorithm, (2) the relationship among causative variables and gullied locations using the evidential belief function model (EBF), and (3) gully erosion development using the algorithms of boosted regression tree (BRT) and support vector machine (SVM).	cache/esrj-95748.pdf	txt/esrj-95748.txt
