Soil erosion calculation in the hydro-fluctuation belt by adding water erosivity factor in the USLE model

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e-mail: [email protected] http://jms.imde.ac.cn https://doi.org/10.1007/s11629-020-6041-3

Soil erosion calculation in the hydro-fluctuation belt by adding water erosivity factor in the USLE model XIN Zhi-yuan

https://orcid.org/0000-0002-6378-6878; e-mail: [email protected]

XIA Jian-guo*

https://orcid.org/0000-0001-6221-8521;

e-mail: [email protected]

*Corresponding Author College of Resources, Sichuan Agricultural University, Chengdu 611130, China Citation: Xin ZY, Xia JG (2020) Soil erosion calculation in the hydro-fluctuation belt by adding water erosivity factor in the USLE model. Journal of Mountain Science 17(9). https://doi.org/10.1007/s11629-020-6041-3

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract: Soils in the hydro-fluctuation belts of the reservoirs are most highly influenced by the special hydro-conditions and reservoir operation, leading to unique soil erosion process and largely accelerate soil erosion intensity. The present study aimed to estimate soil erosion rate in the hydro-fluctuation belt of the Pubugou Reservoir, Southwest China, based on the framework of Universal Soil Loss Equation (USLE). An attempt has been made to modify the original USLE by including the reservoir water erosivity (W), a new factor into the model. Soil erosion rate from different land use types were quantitatively estimated, using the USLE and the modified USLE respectively. Field observation showed that soil erosion rate in dry farmland, bare land and grassland was 4700, 44600 and 5050 t/km2, respectively. The erosion rate assessed by the modified USLE was closely related to that recorded from the field monitoring data. The findings of this study clearly highlight the importance of inclusion of the W factor to the original USLE model while assessing soil erosion in the reservoir hydro-fluctuation belt. Keywords: Modified USLE; Water erosivity; Soil erosion; Hydro-fluctuation belt; Reservoir

Introduction Models have become crucial prediction tools that provide insights into soil erosion and guide for Received: 23-Mar-2020 Revised: 31-May-2020 Accepted: 13-Jul-2020

soil conservation. A number of empirical, conceptual and physical models have been developed and recommended for soil erosion estimation. Amongst these models, the Universal Soil Loss Equation (USLE) and its revised version (RUSLE), an empirically-based modeling tool, has been most extensively used to estimate long-term average soil erosion rates caused by rill and interrill erosion (Mondal et al. 2018; Devatha et al. 2015; Ganasri et a l. 2016; Evans et al. 1996). The USLE was the first model to introduce the factors, such as slope steepness, slope length, climate, vegetation and soil erodibility into soil erosion prediction. The USLE was originally established by Wischmeier and Smith (Kinnell et al. 2016), using data collected from more than 10,000 runoff plots distributed in 30 States in the Eastern United States. The hydro-fluctuation belt of a reservoir is a