Author:
Wang Lihong,Li Yuechen,Gan Yushi,Zhao Long,Qin Wei,Ding Lin
Funder
National Key Research and Development Program of China
Fundamental Research Funds for the Central Universities
Ministry of Science and Technology of the People's Republic of China
Natural Science Foundation Project of Chongqing
Natural Science Foundation of Chongqing Municipality
Reference124 articles.
1. Using the USLE: Chances, challenges and limitations of soil erosion modelling;Alewell;Int. Soil Water Conserv. Res.,2019
2. Natural disaster in the mountainous region of Rio de Janeiro state, Brazil: assessment of the daily rainfall erosivity as an early warning index;Alves;Int. Soil Water Conserv. Res.,2022
3. Splash erosion under natural rainfall on three soil types in ne Spain;Angulo-Martínez;Geomorphology (amst),2012
4. Use of disdrometer data to evaluate the relationship of rainfall kinetic energy and intensity (ke-i);Angulo-Martinez;Sci. Total Environ.,2016
5. Araujo, T.F., Sone, J.S., Alves Sobrinho, T., Oliveira, P.T.S. de, 2018. Assessing rainfall erosivity in a tropical region using free software, in: XIII Brazilian Meeting of Sediment Engineering. I Particles in the Americas. Hydrossedimentology in the Nexus Context for a Sustainable Society, pp. 1–8.
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献