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- W4285013203 abstract "Gully erosion is globally considered a severe environmental problem that causes great damage to arable lands, roads, and forests; therefore, it is crucial to evaluate the gully erosion susceptibility. The objective of this study was to establish three hybrid models based on VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), frequency ratio (FR), random forest (RF), gradient boosting decision tree (GBDT), and randomized tree (ET) data to assess the susceptibility of gully erosion in a small watershed of the Loess Plateau of China. We extracted 540 gullies with 24, 919 gully pixels and 11 conditioning factors were extracted and utilized to establish a gully inventory database. Subsequently, FR was applied to determine the relationships between the conditioning factors and gully pixels, and machine learning methods were used to quantify the relative importance of these conditioning factors. Three hybrid gully erosion susceptibility models, that is, VIKOR-FR-RF, VIKOR-FR-GBDT, and VIKOR-FR-ET, were established for gully erosion susceptibility mapping (GESM). The receiver operating characteristic curve (ROC) and area under the curve (AUC) were utilized to evaluate the performance of these models. The results showed that elevation, distance to road, and the normalized difference vegetation index significantly contributed to the gully occurrences. VIKOR-FR-ET had the highest performance, with an AUC of 0.83, followed by VIKOR-FR-RF (AUC = 0.81) and VIKOR-FR-GBDT (AUC = 0.70). Therefore, we concluded that VIKOR-FR-ET was the most efficient approach for predicting gully erosion susceptibility in a semi-arid region, such as the Loess Plateau. Our results will help design soil and water conservation measures for gully erosion control at small watershed scales." @default.
- W4285013203 created "2022-07-12" @default.
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- W4285013203 date "2022-09-01" @default.
- W4285013203 modified "2023-10-15" @default.
- W4285013203 title "Assessment of the gully erosion susceptibility using three hybrid models in one small watershed on the Loess Plateau" @default.
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- W4285013203 doi "https://doi.org/10.1016/j.still.2022.105481" @default.
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