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Bulletin of Engineering Geology and the Environment

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29.06.2020 | Original paper

SUSLE: a slope and seasonal rainfall-based RUSLE model for regional quantitative prediction of soil erosion

verfasst von: Faming Huang, Jiawu Chen, Chi Yao, Zhilu Chang, Qinghui Jiang, Shu Li, Zizheng Guo

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 10/2020

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Abstract

The Revised Universal Soil Loss Equation (RUSLE) models are most widely used for quantitative prediction of soil erosion. However, these models have many shortcomings. For example, the annual total rainfall is often adopted, ignoring the inhomogeneity of seasonal rainfall. The adopted vegetation coverage indexes (VCIs) are usually the annual average vegetation coverage or VCIs obtained by monitoring on a specific day, ignoring the seasonal changes in VCIs during the year. In addition, the impact of slope on the conservation practices factor is not considered. To overcome these problem, this study aims to propose a seasonal and slope factor-based RUSLE (SUSLE) model that considers the seasonal changes in rainfall and VCIs and the effect of slope on the conservation practices factor. Based on GIS and remote sensing, the quantitative prediction of soil erosion in Ningdu County, Jiangxi Province, in 2017 is taken as a case study. The traditional RUSLE model and the proposed SUSLE model are analyzed and compared. Results show that the overall distribution characteristics of soil erosion in the two models are similar that the SUSLE model is more consistent than the RUSLE model in all erosion levels and that the prediction performances of the SUSLE model in the very low, moderate, and high erosion levels are better than those of the RUSLE model. The distribution characteristics of soil erosion in different periods and the relationships between soil erosion and environmental factors (e.g., slope and land use) under the SUSLE model are discussed. The results show that the maximum erosion area occurred in spring and the minimum area in autumn; the soil erosion amount on slopes of 8~25° reached 65.14% of the total amount; bare grassland and cultivated land are the main land cover types impacted by soil erosion in Ningdu County.

Vorheriger Artikel The shearing anisotropy characteristics on the interface of loess with bedrock

Nächster Artikel Analysis of landslide stability under seismic action and subsequent rainfall: a case study on the Ganjiazhai giant landslide along the Zhaotong-Qiaojia road during the 2014 Ludian earthquake, Yunnan, China

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Titel: SUSLE: a slope and seasonal rainfall-based RUSLE model for regional quantitative prediction of soil erosion
verfasst von: Faming Huang
Jiawu Chen
Chi Yao
Zhilu Chang
Qinghui Jiang
Shu Li
Zizheng Guo
Publikationsdatum: 29.06.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Bulletin of Engineering Geology and the Environment / Ausgabe 10/2020
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI: https://doi.org/10.1007/s10064-020-01886-9

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