The erosivity calculation of rainfall and snow melt runoff based on the revised universal soil loss equation (RUSLE) is improved by comprehensively using the observed sediment transport, meteorological and remote sensing data. Based on the improved RUSLE model, the soil erosion rate of the Mid-Yarlung Tsangpo River Region is calculated, and the spatial distribution of multi-year average rainfall runoff erosivity factor, soil erodibility factor, slope length and slope steepness factor, vcover management factor, ssupport practice factor and soil erosion rate are obtained. The data set analyzes the phenomena of "less water and more sediment" in Nianchu River Basin and "more water and less sediment" in Lhasa River Basin, which can provide theoretical support for regional soil and water conservation.

File naming and required software

rainfall runoff erosivity factor: R_factor.tif ;
soil erodibility factor: K_factor.tif ; ;
length of the slope and steepness factor: LS_factor.tif;
cover management factor: C_factor;
support practice factor: P_factor.

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Cite as:

Wang, L., Zhang, F. (2022). Soil erosion and its influencing factors in the Mid-Yarlung Tsangpo River Region (2001-2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272397. CSTR: 18406.11.Terre.tpdc.272397. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Wang, L., Zhang, F.*, Fu, S., Shi, X., Chen, Y., Jagirani, M.D., & Zeng, C. (2020). Assessment of Soil Erosion Risk and Its Response to Climate Change in the Mid-Yarlung Tsangpo River Region. Environmental Science and Pollution Research, 27, 607-621.( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Second Tibetan Plateau Scientific Expedition Program

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)