Improved RUSLE model to simulate the effect of slope forest area on soil and water conservation

The problem of soil and water loss on slope land has always been one of the key issues that people pay attention to. How to reasonably arrange tree species and planting methods can effectively improve the current situation of water loss and soil erosion. The Revised Universal Soil Loss Equation (RUS...

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Bibliographic Details
Main Authors: Hui Wang, Yu Bai, Xiaojun Man, Zhiping Tang, Shaoping Zhang
Format: Article
Language:English
Published: IWA Publishing 2023-07-01
Series:Water Supply
Subjects:
Online Access:http://ws.iwaponline.com/content/23/7/2799
Description
Summary:The problem of soil and water loss on slope land has always been one of the key issues that people pay attention to. How to reasonably arrange tree species and planting methods can effectively improve the current situation of water loss and soil erosion. The Revised Universal Soil Loss Equation (RUSLE) model is a widely used soil erosion prediction model, but it does not consider the impact of tree height and crown size on soil erosion. In this paper, six experimental plots of soil and water conservation were carried out on the forest slope land in southern China. Six experimental plots were planted with different trees, and all kinds of data were collected for 3 years. On the basis of data analysis and machine learning methods, it is found that tree height and crown have a significant impact on soil erosion, but have no significant impact on runoff formation. With the growth of trees, the amount of soil loss in each plot gradually decreases. At the same time, an improved RUSLE model related to tree height and crown has been established, which has a high simulation effect (R2 of testing reaches 0.6775, R2 of all data reaches 0.5452). HIGHLIGHTS Investigate the soil erosion and runoff in different tree plots.; To explore the protective effect of tree height and crown on soil erosion.; To provide an improved RUSLE model to simulate the soil erosion rate.;
ISSN:1606-9749
1607-0798